{"product_id":"next-generation-systems-and-secure-computing-hardback-9781394228263","title":"Next-Generation Systems and Secure Computing (Hardback) 9781394228263","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eNext-Generation Systems and Secure Computing\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eSubhabrata Barman (Edited by), Barman (Author), Santanu Koley (Edited by), Subhankar Joardar (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394228263, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 28 March 2025\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e480 pages\u003cbr\u003e22.9 x 15.2 x 2.9 cm, 0.68 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\u003cp\u003e\u003ci\u003e\u003cb\u003eNext-Generation Systems and Secure Computing\u003c\/b\u003e\u003c\/i\u003e is essential for anyone looking to stay ahead in the rapidly evolving landscape of technology. It offers crucial insights into advanced computing models and their security implications, equipping readers with the knowledge needed to navigate the complex challenges of today’s digital world. \u003c\/p\u003e\n\u003cp\u003eThe development of technology in recent years has produced a number of scientific advancements in sectors like computer science. The advent of new computing models has been one particular development within this sector. New paradigms are always being invented, greatly expanding cloud computing technology. Fog, edge, and serverless computing are examples of these revolutionary advanced technologies. Nevertheless, these new approaches create new security difficulties and are forcing experts to reassess their current security procedures. Devices for edge computing aren’t designed with the same IT hardware protocols in mind. There are several application cases for edge computing and the Internet of Things (IoT) in remote locations. Yet, cybersecurity settings and software upgrades are commonly disregarded when it comes to preventing cybercrime and guaranteeing data privacy. \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eNext-Generation Systems and Secure Computing\u003c\/i\u003e compiles cutting-edge studies on the development of cutting-edge computing technologies and their role in enhancing current security practices. The book will highlight topics like fault tolerance, federated cloud security, and serverless computing, as well as security issues surrounding edge computing in this context, offering a thorough discussion of the guiding principles, operating procedures, applications, and unexplored areas of study. \u003ci\u003eNext-Generation Systems and Secure Computing\u003c\/i\u003e is a one-stop resource for learning about the technology, procedures, and individuals involved in next-generation security and computing.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xxi\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Yet Another Move Towards Securing Video Using Sudoku-Fernet 1\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSunanda Jana, Swarnajit Bhattacharya, Mrinmoy Sen, Abhinandan Khan, Arnab Kumar Maji and Rajat Kumar Pal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 1\u003c\/p\u003e \u003cp\u003e1.2 Literature Survey 6\u003c\/p\u003e \u003cp\u003e1.3 Proposed Methodology 8\u003c\/p\u003e \u003cp\u003e1.4 Result Analysis 12\u003c\/p\u003e \u003cp\u003e1.5 Computational Complexity 14\u003c\/p\u003e \u003cp\u003e1.6 Conclusions 15\u003c\/p\u003e \u003cp\u003eReferences 15\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Watermarking: Characteristics, Methods, and Evaluation 17\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSoumitra Roy and Bappaditya Chakraborty\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 18\u003c\/p\u003e \u003cp\u003e2.2 Watermark Definition 20\u003c\/p\u003e \u003cp\u003e2.3 Properties of Watermarking 22\u003c\/p\u003e \u003cp\u003e2.4 Categorization of Watermarking 25\u003c\/p\u003e \u003cp\u003e2.5 Attacks on Watermarking 29\u003c\/p\u003e \u003cp\u003e2.6 Chapter Summary 32\u003c\/p\u003e \u003cp\u003eReferences 32\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 A Comprehensive Study on Deep Learning and Artificial Intelligence for Malware Analysis 39\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eTukkappa Gundoor and Sridevi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 40\u003c\/p\u003e \u003cp\u003e3.2 The Evolving Landscape of Malware Threats 40\u003c\/p\u003e \u003cp\u003e3.3 The Role of Deep Learning and AI in Enhancing Cybersecurity 42\u003c\/p\u003e \u003cp\u003e3.4 Deep Learning Models for Malware Analysis 45\u003c\/p\u003e \u003cp\u003e3.5 AI Techniques in Malware Analysis 50\u003c\/p\u003e \u003cp\u003e3.6 Challenges and Limitations in Malware Family Classification 51\u003c\/p\u003e \u003cp\u003e3.7 Future Directions 54\u003c\/p\u003e \u003cp\u003eReferences 55\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Transmit Texts Covertly Using Trigonometric Functions and Pythagorean Theorem 61\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eNagadevi Bala Nagaram, R. Narmada Devi and S. Karpagam\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 62\u003c\/p\u003e \u003cp\u003e4.2 Mainstream Definition 69\u003c\/p\u003e \u003cp\u003e4.3 Description of the Work 73\u003c\/p\u003e \u003cp\u003e4.4 Algorithm for Decryption 75\u003c\/p\u003e \u003cp\u003e4.5 Conclusion 76\u003c\/p\u003e \u003cp\u003eReferences 76\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Exploring the Synergy of Cybersecurity and Blockchain: Strengthening Digital Defenses 79\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eMohan Kumar Dehury, Bhabendu Kumar Mohanta, Manorama Patnaik, Biresh Kumar and Purushottam Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 80\u003c\/p\u003e \u003cp\u003e5.2 Blockchain Infrastructure 81\u003c\/p\u003e \u003cp\u003e5.3 Literature Review 86\u003c\/p\u003e \u003cp\u003e5.4 Cybersecurity Fundamentals 87\u003c\/p\u003e \u003cp\u003e5.5 Synergies Between Blockchain and Cybersecurity 93\u003c\/p\u003e \u003cp\u003e5.6 Applications of Blockchain and Cybersecurity 94\u003c\/p\u003e \u003cp\u003e5.7 Challenges and Considerations 95\u003c\/p\u003e \u003cp\u003e5.8 Future Directions and Innovations 97\u003c\/p\u003e \u003cp\u003e5.9 Conclusion 98\u003c\/p\u003e \u003cp\u003eReferences 99\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Protecting in the Digital Age: A Comprehensive Examination of Cybersecurity and Legal Implications 105\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eNazeer Shaik, B. Hari Chandana, P. Chitralingappa and C. Sasikala\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 106\u003c\/p\u003e \u003cp\u003e6.2 First-Order Heading 107\u003c\/p\u003e \u003cp\u003e6.3 Data Protection and Privacy Laws 111\u003c\/p\u003e \u003cp\u003e6.4 Intellectual Property Rights in Cyberspace 116\u003c\/p\u003e \u003cp\u003e6.5 Cybersecurity Regulations and Compliance 117\u003c\/p\u003e \u003cp\u003e6.6 Cybersecurity Incident Response and Reporting 117\u003c\/p\u003e \u003cp\u003e6.7 International Laws and Jurisdiction in Cybersecurity 118\u003c\/p\u003e \u003cp\u003e6.8 Liability and Responsibility in Cybersecurity 122\u003c\/p\u003e \u003cp\u003e6.9 Government Surveillance and Cybersecurity 123\u003c\/p\u003e \u003cp\u003e6.10 Cybersecurity and Employment Law 124\u003c\/p\u003e \u003cp\u003e6.11 Cybersecurity and E-Commerce 126\u003c\/p\u003e \u003cp\u003e6.12 Emerging Legal Issues in Cybersecurity 127\u003c\/p\u003e \u003cp\u003e6.13 Result 131\u003c\/p\u003e \u003cp\u003e6.14 Conclusion 132\u003c\/p\u003e \u003cp\u003eReferences 133\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 A Novel Non-Orthogonal Multiple Access Scheme for Next Generation Millimeter-Wave 5G Communications 137\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eUdayakumar Easwaran and Krishnaveni Vellingiri\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 138\u003c\/p\u003e \u003cp\u003e7.2 Related Works 141\u003c\/p\u003e \u003cp\u003e7.3 MIMO–NOMA Systems 143\u003c\/p\u003e \u003cp\u003e7.4 Phase Noise 150\u003c\/p\u003e \u003cp\u003e7.5 Results and Discussion 153\u003c\/p\u003e \u003cp\u003e7.6 Conclusion 156\u003c\/p\u003e \u003cp\u003eReferences 156\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Generation of Key Predistribution Scheme Applying Quasi-Symmetric Designs and Bent Functions in the Wireless Sensor Network 159\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eDebashis Ghosh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 160\u003c\/p\u003e \u003cp\u003e8.2 Background 163\u003c\/p\u003e \u003cp\u003e8.3 Our Proposed Scheme 178\u003c\/p\u003e \u003cp\u003e8.4 Conclusion 182\u003c\/p\u003e \u003cp\u003eReferences 183\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Enhanced Security Measures Within the ITS Infrastructure Through the Application of Machine Learning Algorithms for Anomaly Detection 187\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eShiplu Das, Soumi De, Ananya Ghosh, Sovraj Dey and Tania Bhattacharjee\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 188\u003c\/p\u003e \u003cp\u003e9.2 Literature Review 190\u003c\/p\u003e \u003cp\u003e9.3 Proposed Work 197\u003c\/p\u003e \u003cp\u003e9.4 Methodology Analysis and Discussion 199\u003c\/p\u003e \u003cp\u003e9.5 Conclusion 202\u003c\/p\u003e \u003cp\u003eReferences 203\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 The Impact of Distributed Ledger in IoT: A Comprehensive Overview 205\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRick Hore, Rishav Dan, Abhijit Sarkar and Sabyasachi Samanta\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 206\u003c\/p\u003e \u003cp\u003e10.2 Related Work 212\u003c\/p\u003e \u003cp\u003e10.3 The Potential of DTL in IoT Application 215\u003c\/p\u003e \u003cp\u003e10.4 Current Use Cases of IoT and DLT 218\u003c\/p\u003e \u003cp\u003e10.5 Opportunities and Challenges of Integrating DLT with IoT 220\u003c\/p\u003e \u003cp\u003e10.6 The Future of DLT in IoT Ecosystems 222\u003c\/p\u003e \u003cp\u003e10.7 Conclusion 224\u003c\/p\u003e \u003cp\u003eReferences 225\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 A Cryptographic Technique Using Chemicals and Graphs 229\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eKala Raja Mohan, Nagadevi Bala Nagaram, R. Narmada Devi, Regan Murugesan and Subashini Chandrasekar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 230\u003c\/p\u003e \u003cp\u003e11.2 Standard Definitions 231\u003c\/p\u003e \u003cp\u003e11.3 Periodic Table 232\u003c\/p\u003e \u003cp\u003e11.4 Coding Table with Chemical Elements 232\u003c\/p\u003e \u003cp\u003e11.5 Encryption Algorithm 233\u003c\/p\u003e \u003cp\u003e11.6 Encryption Process—Example 233\u003c\/p\u003e \u003cp\u003e11.7 Algorithm for Decryption 235\u003c\/p\u003e \u003cp\u003e11.8 Decryption Process-Example 235\u003c\/p\u003e \u003cp\u003e11.9 Conclusion 236\u003c\/p\u003e \u003cp\u003eReferences 236\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Federated Learning: A Secure Distributed Machine Learning Approach for IoT Technology 239\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRituparna Saha and Amit Biswas\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 240\u003c\/p\u003e \u003cp\u003e12.2 Categorization of FL 243\u003c\/p\u003e \u003cp\u003e12.3 Data Availability 244\u003c\/p\u003e \u003cp\u003e12.4 Federated Learning Training Approaches 244\u003c\/p\u003e \u003cp\u003e12.5 Key Research Directions Related to FL 245\u003c\/p\u003e \u003cp\u003e12.6 Application Areas of FL 246\u003c\/p\u003e \u003cp\u003e12.7 Conclusion 250\u003c\/p\u003e \u003cp\u003eReferences 250\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Security Analysis for Mobile Crowdsensing Scheme by Predicting Vehicle Mobility Using Deep Learning Algorithm 257\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eMonojit Manna, Arpan Adhikary and Sima Das\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 258\u003c\/p\u003e \u003cp\u003e13.2 Related Work 259\u003c\/p\u003e \u003cp\u003e13.3 System Model 261\u003c\/p\u003e \u003cp\u003e13.4 Model of Threat in Mobile Crowdsensing 262\u003c\/p\u003e \u003cp\u003e13.5 DL-Based Authentication 264\u003c\/p\u003e \u003cp\u003e13.6 Dl-Based Privacy Protection 265\u003c\/p\u003e \u003cp\u003e13.7 False Sensing Countermeasures Based on dl 267\u003c\/p\u003e \u003cp\u003e13.8 Dl-Based Detection of Intrusion 267\u003c\/p\u003e \u003cp\u003e13.9 The DLMV Approach’s Design 269\u003c\/p\u003e \u003cp\u003e13.10 Experimental Result 272\u003c\/p\u003e \u003cp\u003e13.11 Conclusion 273\u003c\/p\u003e \u003cp\u003eReferences 274\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 A Study on Protection of Multimedia System Contents Using a Biometric-Based Encryption Technique 277\u003cbr\u003e \u003c\/b\u003e\u003ci\u003ePinaki Pratim Acharjya, Santanu Koley, Subhabrata Barman, Subhankar Joardar and Jayeeta Majumder\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 277\u003c\/p\u003e \u003cp\u003e14.2 Literature Survey 281\u003c\/p\u003e \u003cp\u003e14.3 Multimedia Content Protection 283\u003c\/p\u003e \u003cp\u003e14.4 Encryption\/Decryption in Biometrics 284\u003c\/p\u003e \u003cp\u003e14.5 The Process 287\u003c\/p\u003e \u003cp\u003e14.6 Experimental Results 289\u003c\/p\u003e \u003cp\u003e14.7 Conclusion 290\u003c\/p\u003e \u003cp\u003eReferences 290\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Deep Learning Algorithms for Detecting Network Attacks—An Overview 293\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eR. Mythili and A.S. Aneetha\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 294\u003c\/p\u003e \u003cp\u003e15.2 Technologies of Network Security 296\u003c\/p\u003e \u003cp\u003e15.3 Network Attacks 299\u003c\/p\u003e \u003cp\u003e15.4 Deep Learning Approaches 302\u003c\/p\u003e \u003cp\u003e15.5 Models of IDS 311\u003c\/p\u003e \u003cp\u003e15.6 IDS Datasets 312\u003c\/p\u003e \u003cp\u003e15.7 Result Analysis 314\u003c\/p\u003e \u003cp\u003e15.8 Evaluation Metrics 315\u003c\/p\u003e \u003cp\u003e15.9 Conclusion 320\u003c\/p\u003e \u003cp\u003eReferences 321\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Deep Learning Techniques for Detection of Fake News in Social Media with Huge Data 325\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eNamratha M., Rajeshwari B. S. and Jyothi S. Nayak\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction 326\u003c\/p\u003e \u003cp\u003e16.2 Related Work 329\u003c\/p\u003e \u003cp\u003e16.3 Proposed Work 332\u003c\/p\u003e \u003cp\u003e16.4 Results and Discussion 337\u003c\/p\u003e \u003cp\u003e16.5 Conclusion 342\u003c\/p\u003e \u003cp\u003e16.6 Future Work 343\u003c\/p\u003e \u003cp\u003eReferences 344\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 A Secure IoT-Based Heart Rate Monitoring and Analyzing System 347\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSoumya Roy, Rajib Manna, Sabyasachi Samanta, Moumita Sahoo and Somak Karan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17.1 Introduction 348\u003c\/p\u003e \u003cp\u003e17.2 Literature Review 353\u003c\/p\u003e \u003cp\u003e17.3 Methodology 355\u003c\/p\u003e \u003cp\u003e17.4 Result Analysis 369\u003c\/p\u003e \u003cp\u003e17.5 Conclusion 376\u003c\/p\u003e \u003cp\u003eReferences 377\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18 A Secure IoT-Based Approach for Smart Irrigation System Using an Arduino Uno Microcontroller 379\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eNitesh Kumar, Soumen Ghosh, Sabyasachi Samanta, Abhijit Sarkar and Priyatosh Jana\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18.1 Introduction 380\u003c\/p\u003e \u003cp\u003e18.2 Literature Review 384\u003c\/p\u003e \u003cp\u003e18.3 Methodology 388\u003c\/p\u003e \u003cp\u003e18.4 Result Analysis 395\u003c\/p\u003e \u003cp\u003e18.5 Conclusion 396\u003c\/p\u003e \u003cp\u003e18.6 Future Aspect 396\u003c\/p\u003e \u003cp\u003eAcknowledgments 397\u003c\/p\u003e \u003cp\u003eReferences 397\u003c\/p\u003e \u003cp\u003e\u003cb\u003e19 Machine Learning Applications, Challenges, and Securities for Remote Healthcare: A Systematic Review 401\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eArpan Adhikary, Sima Das, Asit Kumar Nayek, Monojit Manna and Rabindranath Sahu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e19.1 Introduction 402\u003c\/p\u003e \u003cp\u003e19.2 Definition of Remote Monitoring of Patients 403\u003c\/p\u003e \u003cp\u003e19.3 Difference Between the Terminologies “Remote Health Care” and “Remote Healthcare” 404\u003c\/p\u003e \u003cp\u003e19.4 Components of the Remote Healthcare System 404\u003c\/p\u003e \u003cp\u003e19.5 Benefits of Remote Healthcare 405\u003c\/p\u003e \u003cp\u003e19.6 Challenges in the Remote Healthcare System 406\u003c\/p\u003e \u003cp\u003e19.7 Application Areas of Machine Learning in the Remote Healthcare System 406\u003c\/p\u003e \u003cp\u003e19.8 The Advantage of Remote Monitoring System 408\u003c\/p\u003e \u003cp\u003e19.9 Important Features and Factors of the Remote Monitoring System 409\u003c\/p\u003e \u003cp\u003e19.10 Sensors Needed for the Wireless Body Area Network (wban) 411\u003c\/p\u003e \u003cp\u003e19.12 Machine Learning Solution for Remote Monitoring 413\u003c\/p\u003e \u003cp\u003e19.13 Internet of Things Solution for Remote Monitoring 414\u003c\/p\u003e \u003cp\u003e19.14 Security Solution for the Remote Monitoring 416\u003c\/p\u003e \u003cp\u003e19.15 Conclusion 416\u003c\/p\u003e \u003cp\u003eReferences 417\u003c\/p\u003e \u003cp\u003e\u003cb\u003e20 Enhancing Video Steganography Security for Cross-Platform Applications: A Focus on High-Definition Formats and Streaming Environments 421\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSantanu Koley and Ankur Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e20.1 Introduction 422\u003c\/p\u003e \u003cp\u003e20.2 Video Steganography 422\u003c\/p\u003e \u003cp\u003e20.3 The Compressed Domain 422\u003c\/p\u003e \u003cp\u003e20.4 Coding Concepts 423\u003c\/p\u003e \u003cp\u003e20.5 Temporal Model 424\u003c\/p\u003e \u003cp\u003e20.6 Macroblocks Motion Estimation 425\u003c\/p\u003e \u003cp\u003e20.7 Steganalysis 425\u003c\/p\u003e \u003cp\u003e20.8 Cryptography 428\u003c\/p\u003e \u003cp\u003e20.9 Steganographic Encoder 435\u003c\/p\u003e \u003cp\u003e20.10 Conclusion 437\u003c\/p\u003e \u003cp\u003e20.11 Future Work 438\u003c\/p\u003e \u003cp\u003eReferences 438\u003c\/p\u003e \u003cp\u003eIndex 441\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\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20science%20%5BUY%5D%22\"\u003eUY\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52433219551512,"sku":"9781394228263","price":153.69,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394228263.jpg?v=1784852090","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/next-generation-systems-and-secure-computing-hardback-9781394228263","provider":"Freshly Printed Books","version":"1.0","type":"link"}