{"product_id":"cyber-security-and-digital-forensics-challenges-and-future-trends-hardback-9781119795636","title":"Cyber Security and Digital Forensics; Challenges and Future Trends (Hardback) 9781119795636","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eCyber Security and Digital Forensics\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eChallenges and Future Trends\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eMangesh M. Ghonge (Edited by), MM Ghonge (Author), Sabyasachi Pramanik (Edited by), Ramchandra Mangrulkar (Edited by), Dac-Nhuong Le (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781119795636, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 4 February 2022\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e432 pages\u003cbr\u003e1 x 1 x 1 cm, 0.454 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cb\u003eCYBER SECURITY AND DIGITAL FORENSICS\u003c\/b\u003e \u003cp\u003e\u003cb\u003eCyber security is an incredibly important issue that is constantly changing, with new methods, processes, and technologies coming online all the time. Books like this are invaluable to professionals working in this area, to stay abreast of all of these changes.\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eCurrent cyber threats are getting more complicated and advanced with the rapid evolution of adversarial techniques. Networked computing and portable electronic devices have broadened the role of digital forensics beyond traditional investigations into computer crime. The overall increase in the use of computers as a way of storing and retrieving high-security information requires appropriate security measures to protect the entire computing and communication scenario worldwide. Further, with the introduction of the internet and its underlying technology, facets of information security are becoming a primary concern to protect networks and cyber infrastructures from various threats. \u003c\/p\u003e\n\u003cp\u003eThis groundbreaking new volume, written and edited by a wide range of professionals in this area, covers broad technical and socio-economic perspectives for the utilization of information and communication technologies and the development of practical solutions in cyber security and digital forensics. Not just for the professional working in the field, but also for the student or academic on the university level, this is a must-have for any library.  \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eAudience:\u003c\/b\u003e Practitioners, consultants, engineers, academics, and other professionals working in the areas of cyber analysis, cyber security, homeland security, national defense, the protection of national critical infrastructures, cyber-crime, cyber vulnerabilities, cyber-attacks related to network systems, cyber threat reduction planning, and those who provide leadership in cyber security management both in public and private sectors\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xvii\u003c\/p\u003e \u003cp\u003eAcknowledgment xxvii\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 A Comprehensive Study of Security Issues and Research Challenges in Different Layers of Service-Oriented IoT Architecture 1\u003c\/b\u003e\u003cb\u003e\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAnkur O. Bang, Udai Pratap Rao and Amit A. Bhusari\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction and Related Work 2\u003c\/p\u003e \u003cp\u003e1.2 IoT: Evolution, Applications and Security Requirements 4\u003c\/p\u003e \u003cp\u003e1.2.1 IoT and Its Evolution 5\u003c\/p\u003e \u003cp\u003e1.2.2 Different Applications of IoT 5\u003c\/p\u003e \u003cp\u003e1.2.3 Different Things in IoT 7\u003c\/p\u003e \u003cp\u003e1.2.4 Security Requirements in IoT 8\u003c\/p\u003e \u003cp\u003e1.3 Service-Oriented IoT Architecture and IoT Protocol Stack 10\u003c\/p\u003e \u003cp\u003e1.3.1 Service-Oriented IoT Architecture 10\u003c\/p\u003e \u003cp\u003e1.3.2 IoT Protocol Stack 11\u003c\/p\u003e \u003cp\u003e1.3.2.1 Application Layer Protocols 12\u003c\/p\u003e \u003cp\u003e1.3.2.2 Transport Layer Protocols 13\u003c\/p\u003e \u003cp\u003e1.3.2.3 Network Layer Protocols 15\u003c\/p\u003e \u003cp\u003e1.3.2.4 Link Layer and Physical Layer Protocols 16\u003c\/p\u003e \u003cp\u003e1.4 Anatomy of Attacks on Service-Oriented IoT Architecture 24\u003c\/p\u003e \u003cp\u003e1.4.1 Attacks on Software Service 24\u003c\/p\u003e \u003cp\u003e1.4.1.1 Operating System–Level Attacks 24\u003c\/p\u003e \u003cp\u003e1.4.1.2 Application-Level Attacks 25\u003c\/p\u003e \u003cp\u003e1.4.1.3 Firmware-Level Attacks 25\u003c\/p\u003e \u003cp\u003e1.4.2 Attacks on Devices 26\u003c\/p\u003e \u003cp\u003e1.4.3 Attacks on Communication Protocols 26\u003c\/p\u003e \u003cp\u003e1.4.3.1 Attacks on Application Layer Protocols 26\u003c\/p\u003e \u003cp\u003e1.4.3.2 Attacks on Transport Layer Protocols 28\u003c\/p\u003e \u003cp\u003e1.4.3.3 Attacks on Network Layer Protocols 28\u003c\/p\u003e \u003cp\u003e1.4.3.4 Attacks on Link and Physical Layer Protocols 30\u003c\/p\u003e \u003cp\u003e1.5 Major Security Issues in Service-Oriented IoT Architecture 31\u003c\/p\u003e \u003cp\u003e1.5.1 Application – Interface Layer 32\u003c\/p\u003e \u003cp\u003e1.5.2 Service Layer 33\u003c\/p\u003e \u003cp\u003e1.5.3 Network Layer 33\u003c\/p\u003e \u003cp\u003e1.5.4 Sensing Layer 34\u003c\/p\u003e \u003cp\u003e1.6 Conclusion 35\u003c\/p\u003e \u003cp\u003eReferences 36\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Quantum and Post-Quantum Cryptography 45\u003c\/b\u003e\u003cb\u003e\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eOm Pal, Manoj Jain, B.K. Murthy and Vinay Thakur\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 46\u003c\/p\u003e \u003cp\u003e2.2 Security of Modern Cryptographic Systems 46\u003c\/p\u003e \u003cp\u003e2.2.1 Classical and Quantum Factoring of A Large Number 47\u003c\/p\u003e \u003cp\u003e2.2.2 Classical and Quantum Search of An Item 49\u003c\/p\u003e \u003cp\u003e2.3 Quantum Key Distribution 49\u003c\/p\u003e \u003cp\u003e2.3.1 BB84 Protocol 50\u003c\/p\u003e \u003cp\u003e2.3.1.1 Proposed Key Verification Phase for BB84 51\u003c\/p\u003e \u003cp\u003e2.3.2 E91 Protocol 51\u003c\/p\u003e \u003cp\u003e2.3.3 Practical Challenges of Quantum Key Distribution 52\u003c\/p\u003e \u003cp\u003e2.3.4 Multi-Party Quantum Key Agreement Protocol 53\u003c\/p\u003e \u003cp\u003e2.4 Post-Quantum Digital Signature 53\u003c\/p\u003e \u003cp\u003e2.4.1 Signatures Based on Lattice Techniques 54\u003c\/p\u003e \u003cp\u003e2.4.2 Signatures Based on Multivariate Quadratic Techniques 55\u003c\/p\u003e \u003cp\u003e2.4.3 Hash-Based Signature Techniques 55\u003c\/p\u003e \u003cp\u003e2.5 Conclusion and Future Directions 55\u003c\/p\u003e \u003cp\u003eReferences 56\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Artificial Neural Network Applications in Analysis of Forensic Science 59\u003c\/b\u003e\u003cb\u003e\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eK.R. Padma and K.R. Don\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 60\u003c\/p\u003e \u003cp\u003e3.2 Digital Forensic Analysis Knowledge 61\u003c\/p\u003e \u003cp\u003e3.3 Answer Set Programming in Digital Investigations 61\u003c\/p\u003e \u003cp\u003e3.4 Data Science Processing with Artificial Intelligence Models 63\u003c\/p\u003e \u003cp\u003e3.5 Pattern Recognition Techniques 63\u003c\/p\u003e \u003cp\u003e3.6 ANN Applications 65\u003c\/p\u003e \u003cp\u003e3.7 Knowledge on Stages of Digital Forensic Analysis 65\u003c\/p\u003e \u003cp\u003e3.8 Deep Learning and Modelling 67\u003c\/p\u003e \u003cp\u003e3.9 Conclusion 68\u003c\/p\u003e \u003cp\u003eReferences 69\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 A Comprehensive Survey of Fully Homomorphic Encryption from Its Theory to Applications 73\u003c\/b\u003e\u003cb\u003e\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRashmi Salavi, Dr. M. M. Math and Dr. U. P. Kulkarni\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 73\u003c\/p\u003e \u003cp\u003e4.2 Homomorphic Encryption Techniques 76\u003c\/p\u003e \u003cp\u003e4.2.1 Partial Homomorphic Encryption Schemes 77\u003c\/p\u003e \u003cp\u003e4.2.2 Fully Homomorphic Encryption Schemes 78\u003c\/p\u003e \u003cp\u003e4.3 Homomorphic Encryption Libraries 79\u003c\/p\u003e \u003cp\u003e4.4 Computations on Encrypted Data 83\u003c\/p\u003e \u003cp\u003e4.5 Applications of Homomorphic Encryption 85\u003c\/p\u003e \u003cp\u003e4.6 Conclusion 86\u003c\/p\u003e \u003cp\u003eReferences 87\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Understanding Robotics through Synthetic Psychology 91\u003c\/b\u003e\u003cb\u003e\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eGarima Saini and Dr. Shabnam\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 91\u003c\/p\u003e \u003cp\u003e5.2 Physical Capabilities of Robots 92\u003c\/p\u003e \u003cp\u003e5.2.1 Artificial Intelligence and Neuro Linguistic Programming (NLP) 93\u003c\/p\u003e \u003cp\u003e5.2.2 Social Skill Development and Activity Engagement 93\u003c\/p\u003e \u003cp\u003e5.2.3 Autism Spectrum Disorders 93\u003c\/p\u003e \u003cp\u003e5.2.4 Age-Related Cognitive Decline and Dementia 94\u003c\/p\u003e \u003cp\u003e5.2.5 Improving Psychosocial Outcomes through Robotics 94\u003c\/p\u003e \u003cp\u003e5.2.6 Clients with Disabilities and Robotics 94\u003c\/p\u003e \u003cp\u003e5.2.7 Ethical Concerns and Robotics 95\u003c\/p\u003e \u003cp\u003e5.3 Traditional Psychology, Neuroscience and Future Robotics 95\u003c\/p\u003e \u003cp\u003e5.4 Synthetic Psychology and Robotics: A Vision of the Future 97\u003c\/p\u003e \u003cp\u003e5.5 Synthetic Psychology: The Foresight 98\u003c\/p\u003e \u003cp\u003e5.6 Synthetic Psychology and Mathematical Optimization 99\u003c\/p\u003e \u003cp\u003e5.7 Synthetic Psychology and Medical Diagnosis 99\u003c\/p\u003e \u003cp\u003e5.7.1 Virtual Assistance and Robotics 100\u003c\/p\u003e \u003cp\u003e5.7.2 Drug Discovery and Robotics 100\u003c\/p\u003e \u003cp\u003e5.8 Conclusion 101\u003c\/p\u003e \u003cp\u003eReferences 101\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 An Insight into Digital Forensics: History, Frameworks, Types and Tools 105\u003c\/b\u003e\u003cb\u003e\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eG Maria Jones and S Godfrey Winster\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Overview 105\u003c\/p\u003e \u003cp\u003e6.2 Digital Forensics 107\u003c\/p\u003e \u003cp\u003e6.2.1 Why Do We Need Forensics Process? 107\u003c\/p\u003e \u003cp\u003e6.2.2 Forensics Process Principles 108\u003c\/p\u003e \u003cp\u003e6.3 Digital Forensics History 108\u003c\/p\u003e \u003cp\u003e6.3.1 1985 to 1995 108\u003c\/p\u003e \u003cp\u003e6.3.2 1995 to 2005 109\u003c\/p\u003e \u003cp\u003e6.3.3 2005 to 2015 110\u003c\/p\u003e \u003cp\u003e6.4 Evolutionary Cycle of Digital Forensics 111\u003c\/p\u003e \u003cp\u003e6.4.1 Ad Hoc 111\u003c\/p\u003e \u003cp\u003e6.4.2 Structured Phase 111\u003c\/p\u003e \u003cp\u003e6.4.3 Enterprise Phase 112\u003c\/p\u003e \u003cp\u003e6.5 Stages of Digital Forensics Process 112\u003c\/p\u003e \u003cp\u003e6.5.1 Stage 1 - 1995 to 2003 112\u003c\/p\u003e \u003cp\u003e6.5.2 Stage II - 2004 to 2007 113\u003c\/p\u003e \u003cp\u003e6.5.3 Stage III - 2007 to 2014 114\u003c\/p\u003e \u003cp\u003e6.6 Types of Digital Forensics 115\u003c\/p\u003e \u003cp\u003e6.6.1 Cloud Forensics 116\u003c\/p\u003e \u003cp\u003e6.6.2 Mobile Forensics 116\u003c\/p\u003e \u003cp\u003e6.6.3 IoT Forensics 116\u003c\/p\u003e \u003cp\u003e6.6.4 Computer Forensics 117\u003c\/p\u003e \u003cp\u003e6.6.5 Network Forensics 117\u003c\/p\u003e \u003cp\u003e6.6.6 Database Forensics 118\u003c\/p\u003e \u003cp\u003e6.7 Evidence Collection and Analysis 118\u003c\/p\u003e \u003cp\u003e6.8 Digital Forensics Tools 119\u003c\/p\u003e \u003cp\u003e6.8.1 X-Ways Forensics 119\u003c\/p\u003e \u003cp\u003e6.8.2 SANS Investigative Forensics Toolkit – SIFT 119\u003c\/p\u003e \u003cp\u003e6.8.3 EnCase 119\u003c\/p\u003e \u003cp\u003e6.8.4 The Sleuth Kit\/Autopsy 122\u003c\/p\u003e \u003cp\u003e6.8.5 Oxygen Forensic Suite 122\u003c\/p\u003e \u003cp\u003e6.8.6 Xplico 122\u003c\/p\u003e \u003cp\u003e6.8.7 Computer Online Forensic Evidence Extractor (COFEE) 122\u003c\/p\u003e \u003cp\u003e6.8.8 Cellebrite UFED 122\u003c\/p\u003e \u003cp\u003e6.8.9 OSForeniscs 123\u003c\/p\u003e \u003cp\u003e6.8.10 Computer-Aided Investigative Environment (CAINE) 123\u003c\/p\u003e \u003cp\u003e6.9 Summary 123\u003c\/p\u003e \u003cp\u003eReferences 123\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Digital Forensics as a Service: Analysis for Forensic Knowledge 127\u003c\/b\u003e\u003cb\u003e\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSoumi Banerjee, Anita Patil, Dipti Jadhav and Gautam Borkar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 127\u003c\/p\u003e \u003cp\u003e7.2 Objective 128\u003c\/p\u003e \u003cp\u003e7.3 Types of Digital Forensics 129\u003c\/p\u003e \u003cp\u003e7.3.1 Network Forensics 129\u003c\/p\u003e \u003cp\u003e7.3.2 Computer Forensics 142\u003c\/p\u003e \u003cp\u003e7.3.3 Data Forensics 147\u003c\/p\u003e \u003cp\u003e7.3.4 Mobile Forensics 149\u003c\/p\u003e \u003cp\u003e7.3.5 Big Data Forensics 154\u003c\/p\u003e \u003cp\u003e7.3.6 IoT Forensics 155\u003c\/p\u003e \u003cp\u003e7.3.7 Cloud Forensics 157\u003c\/p\u003e \u003cp\u003e7.4 Conclusion 161\u003c\/p\u003e \u003cp\u003eReferences 161\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 4S Framework: A Practical CPS Design Security Assessment \u0026amp; Benchmarking Framework 163\u003c\/b\u003e\u003cb\u003e\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eNeel A. Patel, Dhairya A. Parekh, Yash A. Shah and Ramchandra Mangrulkar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 164\u003c\/p\u003e \u003cp\u003e8.2 Literature Review 166\u003c\/p\u003e \u003cp\u003e8.3 Medical Cyber Physical System (MCPS) 170\u003c\/p\u003e \u003cp\u003e8.3.1 Difference between CPS and MCPS 171\u003c\/p\u003e \u003cp\u003e8.3.2 MCPS Concerns, Potential Threats, Security 171\u003c\/p\u003e \u003cp\u003e8.4 CPSSEC vs. Cyber Security 172\u003c\/p\u003e \u003cp\u003e8.5 Proposed Framework 173\u003c\/p\u003e \u003cp\u003e8.5.1 4S Definitions 174\u003c\/p\u003e \u003cp\u003e8.5.2 4S Framework-Based CPSSEC Assessment Process 175\u003c\/p\u003e \u003cp\u003e8.5.3 4S Framework-Based CPSSEC Assessment Score Breakdown \u0026amp; Formula 181\u003c\/p\u003e \u003cp\u003e8.6 Assessment of Hypothetical MCPS Using 4S Framework 187\u003c\/p\u003e \u003cp\u003e8.6.1 System Description 187\u003c\/p\u003e \u003cp\u003e8.6.2 Use Case Diagram for the Above CPS 188\u003c\/p\u003e \u003cp\u003e8.6.3 Iteration 1 of 4S Assessment 189\u003c\/p\u003e \u003cp\u003e8.6.4 Iteration 2 of 4S Assessment 195\u003c\/p\u003e \u003cp\u003e8.7 Conclusion 200\u003c\/p\u003e \u003cp\u003e8.8 Future Scope 201\u003c\/p\u003e \u003cp\u003eReferences 201\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Ensuring Secure Data Sharing in IoT Domains Using Blockchain 205\u003c\/b\u003e\u003cb\u003e\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eTawseef Ahmed Teli, Rameez Yousuf and Dawood Ashraf Khan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 IoT and Blockchain 205\u003c\/p\u003e \u003cp\u003e9.1.1 Public 208\u003c\/p\u003e \u003cp\u003e9.1.1.1 Proof of Work (PoW) 209\u003c\/p\u003e \u003cp\u003e9.1.1.2 Proof of Stake (PoS) 209\u003c\/p\u003e \u003cp\u003e9.1.1.3 Delegated Proof of Stake (DPoS) 210\u003c\/p\u003e \u003cp\u003e9.1.2 Private 210\u003c\/p\u003e \u003cp\u003e9.1.3 Consortium or Federated 210\u003c\/p\u003e \u003cp\u003e9.2 IoT Application Domains and Challenges in Data Sharing 211\u003c\/p\u003e \u003cp\u003e9.3 Why Blockchain? 214\u003c\/p\u003e \u003cp\u003e9.4 IoT Data Sharing Security Mechanism On Blockchain 216\u003c\/p\u003e \u003cp\u003e9.4.1 Double-Chain Mode Based On Blockchain Technology 216\u003c\/p\u003e \u003cp\u003e9.4.2 Blockchain Structure Based On Time Stamp 217\u003c\/p\u003e \u003cp\u003e9.5 Conclusion 219\u003c\/p\u003e \u003cp\u003eReferences 219\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 A Review of Face Analysis Techniques for Conventional and Forensic Applications 223\u003c\/b\u003e\u003cb\u003e\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eChethana H.T. and Trisiladevi C. Nagavi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 224\u003c\/p\u003e \u003cp\u003e10.2 Face Recognition 225\u003c\/p\u003e \u003cp\u003e10.2.1 Literature Review on Face Recognition 226\u003c\/p\u003e \u003cp\u003e10.2.2 Challenges in Face Recognition 228\u003c\/p\u003e \u003cp\u003e10.2.3 Applications of Face Recognition 229\u003c\/p\u003e \u003cp\u003e10.3 Forensic Face Recognition 229\u003c\/p\u003e \u003cp\u003e10.3.1 Literature Review on Face Recognition for Forensics 231\u003c\/p\u003e \u003cp\u003e10.3.2 Challenges of Face Recognition in Forensics 233\u003c\/p\u003e \u003cp\u003e10.3.3 Possible Datasets Used for Forensic Face Recognition 235\u003c\/p\u003e \u003cp\u003e10.3.4 Fundamental Factors for Improving Forensics Science 235\u003c\/p\u003e \u003cp\u003e10.3.5 Future Perspectives 237\u003c\/p\u003e \u003cp\u003e10.4 Conclusion 238\u003c\/p\u003e \u003cp\u003eReferences 238\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Roadmap of Digital Forensics Investigation Process with Discovery of Tools 241\u003c\/b\u003e\u003cb\u003e\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAnita Patil, Soumi Banerjee, Dipti Jadhav and Gautam Borkar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 242\u003c\/p\u003e \u003cp\u003e11.2 Phases of Digital Forensics Process 244\u003c\/p\u003e \u003cp\u003e11.2.1 Phase I - Identification 244\u003c\/p\u003e \u003cp\u003e11.2.2 Phase II - Acquisition and Collection 245\u003c\/p\u003e \u003cp\u003e11.2.3 Phase III - Analysis and Examination 245\u003c\/p\u003e \u003cp\u003e11.2.4 Phase IV - Reporting 245\u003c\/p\u003e \u003cp\u003e11.3 Analysis of Challenges and Need of Digital Forensics 246\u003c\/p\u003e \u003cp\u003e11.3.1 Digital Forensics Process has following Challenges 246\u003c\/p\u003e \u003cp\u003e11.3.2 Needs of Digital Forensics Investigation 247\u003c\/p\u003e \u003cp\u003e11.3.3 Other Common Attacks Used to Commit the Crime 248\u003c\/p\u003e \u003cp\u003e11.4 Appropriateness of Forensics Tool 248\u003c\/p\u003e \u003cp\u003e11.4.1 Level of Skill 248\u003c\/p\u003e \u003cp\u003e11.4.2 Outputs 252\u003c\/p\u003e \u003cp\u003e11.4.3 Region of Emphasis 252\u003c\/p\u003e \u003cp\u003e11.4.4 Support for Additional Hardware 252\u003c\/p\u003e \u003cp\u003e11.5 Phase-Wise Digital Forensics Techniques 253\u003c\/p\u003e \u003cp\u003e11.5.1 Identification 253\u003c\/p\u003e \u003cp\u003e11.5.2 Acquisition 254\u003c\/p\u003e \u003cp\u003e11.5.3 Analysis 256\u003c\/p\u003e \u003cp\u003e11.5.3.1 Data Carving 257\u003c\/p\u003e \u003cp\u003e11.5.3.2 Different Curving Techniques 259\u003c\/p\u003e \u003cp\u003e11.5.3.3 Volatile Data Forensic Toolkit Used to Collect and Analyze the Data from Device 260\u003c\/p\u003e \u003cp\u003e11.5.4 Report Writing 265\u003c\/p\u003e \u003cp\u003e11.6 Pros and Cons of Digital Forensics Investigation Process 266\u003c\/p\u003e \u003cp\u003e11.6.1 Advantages of Digital Forensics 266\u003c\/p\u003e \u003cp\u003e11.6.2 Disadvantages of Digital Forensics 266\u003c\/p\u003e \u003cp\u003e11.7 Conclusion 267\u003c\/p\u003e \u003cp\u003eReferences 267\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Utilizing Machine Learning and Deep Learning in Cybesecurity: An Innovative Approach 271\u003c\/b\u003e\u003cb\u003e\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eDushyant Kaushik, Muskan Garg, Annu, Ankur Gupta and Sabyasachi Pramanik\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 271\u003c\/p\u003e \u003cp\u003e12.1.1 Protections of Cybersecurity 272\u003c\/p\u003e \u003cp\u003e12.1.2 Machine Learning 274\u003c\/p\u003e \u003cp\u003e12.1.3 Deep Learning 276\u003c\/p\u003e \u003cp\u003e12.1.4 Machine Learning and Deep Learning: Similarities and Differences 278\u003c\/p\u003e \u003cp\u003e12.2 Proposed Method 281\u003c\/p\u003e \u003cp\u003e12.2.1 The Dataset Overview 282\u003c\/p\u003e \u003cp\u003e12.2.2 Data Analysis and Model for Classification 283\u003c\/p\u003e \u003cp\u003e12.3 Experimental Studies and Outcomes Analysis 283\u003c\/p\u003e \u003cp\u003e12.3.1 Metrics on Performance Assessment 284\u003c\/p\u003e \u003cp\u003e12.3.2 Result and Outcomes 285\u003c\/p\u003e \u003cp\u003e12.3.2.1 Issue 1: Classify the Various Categories of Feedback Related to the Malevolent Code Provided 285\u003c\/p\u003e \u003cp\u003e12.3.2.2 Issue 2: Recognition of the Various Categories of Feedback Related to the Malware Presented 286\u003c\/p\u003e \u003cp\u003e12.3.2.3 Issue 3: According to the Malicious Code, Distinguishing Various Forms of Malware 287\u003c\/p\u003e \u003cp\u003e12.3.2.4 Issue 4: Detection of Various Malware Styles Based on Different Responses 287\u003c\/p\u003e \u003cp\u003e12.3.3 Discussion 288\u003c\/p\u003e \u003cp\u003e12.4 Conclusions and Future Scope 289\u003c\/p\u003e \u003cp\u003eReferences 292\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Applications of Machine Learning Techniques in the Realm of Cybersecurity 295\u003c\/b\u003e\u003cb\u003e\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eKoushal Kumar and Bhagwati Prasad Pande\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 296\u003c\/p\u003e \u003cp\u003e13.2 A Brief Literature Review 298\u003c\/p\u003e \u003cp\u003e13.3 Machine Learning and Cybersecurity: Various Issues 300\u003c\/p\u003e \u003cp\u003e13.3.1 Effectiveness of ML Technology in Cybersecurity Systems 300\u003c\/p\u003e \u003cp\u003e13.3.2 Machine Learning Problems and Challenges in Cybersecurity 302\u003c\/p\u003e \u003cp\u003e13.3.2.1 Lack of Appropriate Datasets 302\u003c\/p\u003e \u003cp\u003e13.3.2.2 Reduction in False Positives and False Negatives 302\u003c\/p\u003e \u003cp\u003e13.3.2.3 Adversarial Machine Learning 302\u003c\/p\u003e \u003cp\u003e13.3.2.4 Lack of Feature Engineering Techniques 303\u003c\/p\u003e \u003cp\u003e13.3.2.5 Context-Awareness in Cybersecurity 303\u003c\/p\u003e \u003cp\u003e13.3.3 Is Machine Learning Enough to Stop Cybercrime? 304\u003c\/p\u003e \u003cp\u003e13.4 ML Datasets and Algorithms Used in Cybersecurity 304\u003c\/p\u003e \u003cp\u003e13.4.1 Study of Available ML-Driven Datasets Available for Cybersecurity 304\u003c\/p\u003e \u003cp\u003e13.4.1.1 KDD Cup 1999 Dataset (DARPA1998) 305\u003c\/p\u003e \u003cp\u003e13.4.1.2 NSL-KDD Dataset 305\u003c\/p\u003e \u003cp\u003e13.4.1.3 ECML-PKDD 2007 Discovery Challenge Dataset 305\u003c\/p\u003e \u003cp\u003e13.4.1.4 Malicious URL’s Detection Dataset 306\u003c\/p\u003e \u003cp\u003e13.4.1.5 ISOT (Information Security and Object Technology) Botnet Dataset 306\u003c\/p\u003e \u003cp\u003e13.4.1.6 CTU-13 Dataset 306\u003c\/p\u003e \u003cp\u003e13.4.1.7 MAWILab Anomaly Detection Dataset 307\u003c\/p\u003e \u003cp\u003e13.4.1.8 ADFA-LD and ADFA-WD Datasets 307\u003c\/p\u003e \u003cp\u003e13.4.2 Applications ML Algorithms in Cybersecurity Affairs 307\u003c\/p\u003e \u003cp\u003e13.4.2.1 Clustering 309\u003c\/p\u003e \u003cp\u003e13.4.2.2 Support Vector Machine (SVM) 309\u003c\/p\u003e \u003cp\u003e13.4.2.3 Nearest Neighbor (NN) 309\u003c\/p\u003e \u003cp\u003e13.4.2.4 Decision Tree 309\u003c\/p\u003e \u003cp\u003e13.4.2.5 Dimensionality Reduction 310\u003c\/p\u003e \u003cp\u003e13.5 Applications of Machine Learning in the Realm of Cybersecurity 310\u003c\/p\u003e \u003cp\u003e13.5.1 Facebook Monitors and Identifies Cybersecurity Threats with ML 310\u003c\/p\u003e \u003cp\u003e13.5.2 Microsoft Employs ML for Security 311\u003c\/p\u003e \u003cp\u003e13.5.3 Applications of ML by Google 312\u003c\/p\u003e \u003cp\u003e13.6 Conclusions 313\u003c\/p\u003e \u003cp\u003eReferences 313\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Security Improvement Technique for Distributed Control System (DCS) and Supervisory Control-Data Acquisition (SCADA) Using Blockchain at Dark Web Platform 317\u003c\/b\u003e\u003cb\u003e\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAnand Singh Rajawat, Romil Rawat and Kanishk Barhanpurkar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 318\u003c\/p\u003e \u003cp\u003e14.2 Significance of Security Improvement in DCS and SCADA 322\u003c\/p\u003e \u003cp\u003e14.3 Related Work 323\u003c\/p\u003e \u003cp\u003e14.4 Proposed Methodology 324\u003c\/p\u003e \u003cp\u003e14.4.1 Algorithms Used for Implementation 327\u003c\/p\u003e \u003cp\u003e14.4.2 Components of a Blockchain 327\u003c\/p\u003e \u003cp\u003e14.4.3 MERKLE Tree 328\u003c\/p\u003e \u003cp\u003e14.4.4 The Technique of Stack and Work Proof 328\u003c\/p\u003e \u003cp\u003e14.4.5 Smart Contracts 329\u003c\/p\u003e \u003cp\u003e14.5 Result Analysis 329\u003c\/p\u003e \u003cp\u003e14.6 Conclusion 330\u003c\/p\u003e \u003cp\u003eReferences 331\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Recent Techniques for Exploitation and Protection of Common Malicious Inputs to Online Applications 335\u003c\/b\u003e\u003cb\u003e\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eDr. Tun Myat Aung and Ni Ni Hla\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 335\u003c\/p\u003e \u003cp\u003e15.2 SQL Injection 336\u003c\/p\u003e \u003cp\u003e15.2.1 Introduction 336\u003c\/p\u003e \u003cp\u003e15.2.2 Exploitation Techniques 337\u003c\/p\u003e \u003cp\u003e15.2.2.1 In-Band SQL Injection 337\u003c\/p\u003e \u003cp\u003e15.2.2.2 Inferential SQL Injection 338\u003c\/p\u003e \u003cp\u003e15.2.2.3 Out-of-Band SQL Injection 340\u003c\/p\u003e \u003cp\u003e15.2.3 Causes of Vulnerability 340\u003c\/p\u003e \u003cp\u003e15.2.4 Protection Techniques 341\u003c\/p\u003e \u003cp\u003e15.2.4.1 Input Validation 341\u003c\/p\u003e \u003cp\u003e15.2.4.2 Data Sanitization 341\u003c\/p\u003e \u003cp\u003e15.2.4.3 Use of Prepared Statements 342\u003c\/p\u003e \u003cp\u003e15.2.4.4 Limitation of Database Permission 343\u003c\/p\u003e \u003cp\u003e15.2.4.5 Using Encryption 343\u003c\/p\u003e \u003cp\u003e15.3 Cross Site Scripting 344\u003c\/p\u003e \u003cp\u003e15.3.1 Introduction 344\u003c\/p\u003e \u003cp\u003e15.3.2 Exploitation Techniques 344\u003c\/p\u003e \u003cp\u003e15.3.2.1 Reflected Cross Site Scripting 345\u003c\/p\u003e \u003cp\u003e15.3.2.2 Stored Cross Site Scripting 345\u003c\/p\u003e \u003cp\u003e15.3.2.3 DOM-Based Cross Site Scripting 346\u003c\/p\u003e \u003cp\u003e15.3.3 Causes of Vulnerability 346\u003c\/p\u003e \u003cp\u003e15.3.4 Protection Techniques 347\u003c\/p\u003e \u003cp\u003e15.3.4.1 Data Validation 347\u003c\/p\u003e \u003cp\u003e15.3.4.2 Data Sanitization 347\u003c\/p\u003e \u003cp\u003e15.3.4.3 Escaping on Output 347\u003c\/p\u003e \u003cp\u003e15.3.4.4 Use of Content Security Policy 348\u003c\/p\u003e \u003cp\u003e15.4 Cross Site Request Forgery 349\u003c\/p\u003e \u003cp\u003e15.4.1 Introduction 349\u003c\/p\u003e \u003cp\u003e15.4.2 Exploitation Techniques 349\u003c\/p\u003e \u003cp\u003e15.4.2.1 HTTP Request with GET Method 349\u003c\/p\u003e \u003cp\u003e15.4.2.2 HTTP Request with POST Method 350\u003c\/p\u003e \u003cp\u003e15.4.3 Causes of Vulnerability 350\u003c\/p\u003e \u003cp\u003e15.4.3.1 Session Cookie Handling Mechanism 350\u003c\/p\u003e \u003cp\u003e15.4.3.2 HTML Tag 351\u003c\/p\u003e \u003cp\u003e15.4.3.3 Browser’s View Source Option 351\u003c\/p\u003e \u003cp\u003e15.4.3.4 GET and POST Method 351\u003c\/p\u003e \u003cp\u003e15.4.4 Protection Techniques 351\u003c\/p\u003e \u003cp\u003e15.4.4.1 Checking HTTP Referer 351\u003c\/p\u003e \u003cp\u003e15.4.4.2 Using Custom Header 352\u003c\/p\u003e \u003cp\u003e15.4.4.3 Using Anti-CSRF Tokens 352\u003c\/p\u003e \u003cp\u003e15.4.4.4 Using a Random Value for each Form Field 352\u003c\/p\u003e \u003cp\u003e15.4.4.5 Limiting the Lifetime of Authentication Cookies 353\u003c\/p\u003e \u003cp\u003e15.5 Command Injection 353\u003c\/p\u003e \u003cp\u003e15.5.1 Introduction 353\u003c\/p\u003e \u003cp\u003e15.5.2 Exploitation Techniques 354\u003c\/p\u003e \u003cp\u003e15.5.3 Causes of Vulnerability 354\u003c\/p\u003e \u003cp\u003e15.5.4 Protection Techniques 355\u003c\/p\u003e \u003cp\u003e15.6 File Inclusion 355\u003c\/p\u003e \u003cp\u003e15.6.1 Introduction 355\u003c\/p\u003e \u003cp\u003e15.6.2 Exploitation Techniques 355\u003c\/p\u003e \u003cp\u003e15.6.2.1 Remote File Inclusion 355\u003c\/p\u003e \u003cp\u003e15.6.2.2 Local File Inclusion 356\u003c\/p\u003e \u003cp\u003e15.6.3 Causes of Vulnerability 357\u003c\/p\u003e \u003cp\u003e15.6.4 Protection Techniques 357\u003c\/p\u003e \u003cp\u003e15.7 Conclusion 358\u003c\/p\u003e \u003cp\u003eReferences 358\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Ransomware: Threats, Identification and Prevention 361\u003c\/b\u003e\u003cb\u003e\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSweta Thakur, Sangita Chaudhari and Bharti Joshi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction 361\u003c\/p\u003e \u003cp\u003e16.2 Types of Ransomwares 364\u003c\/p\u003e \u003cp\u003e16.2.1 Locker Ransomware 364\u003c\/p\u003e \u003cp\u003e16.2.1.1 Reveton Ransomware 365\u003c\/p\u003e \u003cp\u003e16.2.1.2 Locky Ransomware 366\u003c\/p\u003e \u003cp\u003e16.2.1.3 CTB Locker Ransomware 366\u003c\/p\u003e \u003cp\u003e16.2.1.4 TorrentLocker Ransomware 366\u003c\/p\u003e \u003cp\u003e16.2.2 Crypto Ransomware 367\u003c\/p\u003e \u003cp\u003e16.2.2.1 PC Cyborg Ransomware 367\u003c\/p\u003e \u003cp\u003e16.2.2.2 OneHalf Ransomware 367\u003c\/p\u003e \u003cp\u003e16.2.2.3 GPCode Ransomware 367\u003c\/p\u003e \u003cp\u003e16.2.2.4 CryptoLocker Ransomware 368\u003c\/p\u003e \u003cp\u003e16.2.2.5 CryptoDefense Ransomware 368\u003c\/p\u003e \u003cp\u003e16.2.2.6 CryptoWall Ransomware 368\u003c\/p\u003e \u003cp\u003e16.2.2.7 TeslaCrypt Ransomware 368\u003c\/p\u003e \u003cp\u003e16.2.2.8 Cerber Ransomware 368\u003c\/p\u003e \u003cp\u003e16.2.2.9 Jigsaw Ransomware 369\u003c\/p\u003e \u003cp\u003e16.2.2.10 Bad Rabbit Ransomware 369\u003c\/p\u003e \u003cp\u003e16.2.2.11 WannaCry Ransomware 369\u003c\/p\u003e \u003cp\u003e16.2.2.12 Petya Ransomware 369\u003c\/p\u003e \u003cp\u003e16.2.2.13 Gandcrab Ransomware 369\u003c\/p\u003e \u003cp\u003e16.2.2.14 Rapid Ransomware 370\u003c\/p\u003e \u003cp\u003e16.2.2.15 Ryuk Ransomware 370\u003c\/p\u003e \u003cp\u003e16.2.2.16 Lockergoga Ransomware 370\u003c\/p\u003e \u003cp\u003e16.2.2.17 PewCrypt Ransomware 370\u003c\/p\u003e \u003cp\u003e16.2.2.18 Dhrama\/Crysis Ransomware 370\u003c\/p\u003e \u003cp\u003e16.2.2.19 Phobos Ransomware 371\u003c\/p\u003e \u003cp\u003e16.2.2.20 Malito Ransomware 371\u003c\/p\u003e \u003cp\u003e16.2.2.21 LockBit Ransomware 371\u003c\/p\u003e \u003cp\u003e16.2.2.22 GoldenEye Ransomware 371\u003c\/p\u003e \u003cp\u003e16.2.2.23 REvil or Sodinokibi Ransomware 371\u003c\/p\u003e \u003cp\u003e16.2.2.24 Nemty Ransomware 371\u003c\/p\u003e \u003cp\u003e16.2.2.25 Nephilim Ransomware 372\u003c\/p\u003e \u003cp\u003e16.2.2.26 Maze Ransomware 372\u003c\/p\u003e \u003cp\u003e16.2.2.27 Sekhmet Ransomware 372\u003c\/p\u003e \u003cp\u003e16.2.3 MAC Ransomware 372\u003c\/p\u003e \u003cp\u003e16.2.3.1 KeRanger Ransomware 373\u003c\/p\u003e \u003cp\u003e16.2.3.2 Go Pher Ransomware 373\u003c\/p\u003e \u003cp\u003e16.2.3.3 FBI Ransom Ransomware 373\u003c\/p\u003e \u003cp\u003e16.2.3.4 File Coder 373\u003c\/p\u003e \u003cp\u003e16.2.3.5 Patcher 373\u003c\/p\u003e \u003cp\u003e16.2.3.6 ThiefQuest Ransomware 374\u003c\/p\u003e \u003cp\u003e16.2.3.7 Keydnap Ransomware 374\u003c\/p\u003e \u003cp\u003e16.2.3.8 Bird Miner Ransomware 374\u003c\/p\u003e \u003cp\u003e16.3 Ransomware Life Cycle 374\u003c\/p\u003e \u003cp\u003e16.4 Detection Strategies 376\u003c\/p\u003e \u003cp\u003e16.4.1 Unevil 376\u003c\/p\u003e \u003cp\u003e16.4.2 Detecting File Lockers 376\u003c\/p\u003e \u003cp\u003e16.4.3 Detecting Screen Lockers 377\u003c\/p\u003e \u003cp\u003e16.4.4 Connection-Monitor and Connection-Breaker Approach 377\u003c\/p\u003e \u003cp\u003e16.4.5 Ransomware Detection by Mining API Call Usage 377\u003c\/p\u003e \u003cp\u003e16.4.6 A New Static-Based Framework for Ransomware Detection 377\u003c\/p\u003e \u003cp\u003e16.4.7 White List-Based Ransomware Real-Time Detection Prevention (WRDP) 378\u003c\/p\u003e \u003cp\u003e16.5 Analysis of Ransomware 378\u003c\/p\u003e \u003cp\u003e16.5.1 Static Analysis 379\u003c\/p\u003e \u003cp\u003e16.5.2 Dynamic Analysis 379\u003c\/p\u003e \u003cp\u003e16.6 Prevention Strategies 380\u003c\/p\u003e \u003cp\u003e16.6.1 Access Control 380\u003c\/p\u003e \u003cp\u003e16.6.2 Recovery After Infection 380\u003c\/p\u003e \u003cp\u003e16.6.3 Trapping Attacker 380\u003c\/p\u003e \u003cp\u003e16.7 Ransomware Traits Analysis 380\u003c\/p\u003e \u003cp\u003e16.8 Research Directions 384\u003c\/p\u003e \u003cp\u003e16.9 Conclusion 384\u003c\/p\u003e \u003cp\u003eReferences 384\u003c\/p\u003e \u003cp\u003eIndex 389 \u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Computer science [\u003ca title=\"See our other books on Computer science\" 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