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Next-Generation Systems and Secure Computing 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. The 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…mehr
Next-Generation Systems and Secure Computing 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.
The 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.
Next-Generation Systems and Secure Computing 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. Next-Generation Systems and Secure Computing is a one-stop resource for learning about the technology, procedures, and individuals involved in next-generation security and computing.
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Autorenporträt
Subhabrata Barman is an assistant professor in the Department of Computer Science and Engineering, Haldia Institute of Technology, West Bengal, India, with over 19 years of teaching and research experience. He has edited a number of internationally published books and journals. Additionally, he is a professional member of the Computer Society of India, the Institute for Electrical and Electronics Engineers, the International Association of Computer Science and Information Technology, and the International Association of Engineers. His research interests include wireless networks, computational intelligence, remote sensing and geoinformatics, precision agriculture, and parallel and grid computing. Santanu Koley, PhD, is a professor in the Computer Science and Engineering Department at Haldia Institute of Technology, West Bengal, India, with more than 19 years of teaching experience and more than eighteen years of research experience. He has published over 50 research publications in numerous national and international journals, conferences, books, and book chapters. His main areas of research include machine learning, cloud computing, digital image processing, and artificial intelligence. Subhankar Joardar, PhD, is a professor and head of the Department of Computer Science and Engineering, Haldia Institute of Technology, India. He has published over 20 technical papers in referred journals and conferences. Additionally, he has served as an organizing chair and program committee member for several international conferences and is a member of the Computer Society of India. His current research interests include swarm intelligence, routing in mobile ad hoc networks, and machine learning.
Inhaltsangabe
Preface xxi 1 Yet Another Move Towards Securing Video Using Sudoku-Fernet 1 Sunanda Jana, Swarnajit Bhattacharya, Mrinmoy Sen, Abhinandan Khan, Arnab Kumar Maji and Rajat Kumar Pal 1.1 Introduction 1 1.2 Literature Survey 6 1.3 Proposed Methodology 8 1.4 Result Analysis 12 1.5 Computational Complexity 14 1.6 Conclusions 15 2 Watermarking: Characteristics, Methods, and Evaluation 17 Soumitra Roy and Bappaditya Chakraborty 2.1 Introduction 18 2.2 Watermark Definition 20 2.3 Properties of Watermarking 22 2.4 Categorization of Watermarking 25 2.5 Attacks on Watermarking 29 2.6 Chapter Summary 32 3 A Comprehensive Study on Deep Learning and Artificial Intelligence for Malware Analysis 39 Tukkappa Gundoor and Sridevi 3.1 Introduction 40 3.2 The Evolving Landscape of Malware Threats 40 3.3 The Role of Deep Learning and AI in Enhancing Cybersecurity 42 3.4 Deep Learning Models for Malware Analysis 45 3.5 AI Techniques in Malware Analysis 50 3.6 Challenges and Limitations in Malware Family Classification 51 3.7 Future Directions 54 4 Transmit Texts Covertly Using Trigonometric Functions and Pythagorean Theorem 61 Nagadevi Bala Nagaram, R. Narmada Devi and S. Karpagam 4.1 Introduction 62 4.2 Mainstream Definition 69 4.3 Description of the Work 73 4.4 Algorithm for Decryption 75 4.5 Conclusion 76 5 Exploring the Synergy of Cybersecurity and Blockchain: Strengthening Digital Defenses 79 Mohan Kumar Dehury, Bhabendu Kumar Mohanta, Manorama Patnaik, Biresh Kumar and Purushottam Kumar 5.1 Introduction 80 5.2 Blockchain Infrastructure 81 5.3 Literature Review 86 5.4 Cybersecurity Fundamentals 87 5.5 Synergies Between Blockchain and Cybersecurity 93 5.6 Applications of Blockchain and Cybersecurity 94 5.7 Challenges and Considerations 95 5.8 Future Directions and Innovations 97 5.9 Conclusion 98 6 Protecting in the Digital Age: A Comprehensive Examination of Cybersecurity and Legal Implications 105 Nazeer Shaik, B. Hari Chandana, P. Chitralingappa and C. Sasikala 6.1 Introduction 106 6.2 First-Order Heading 107 6.3 Data Protection and Privacy Laws 111 6.4 Intellectual Property Rights in Cyberspace 116 6.5 Cybersecurity Regulations and Compliance 117 6.6 Cybersecurity Incident Response and Reporting 117 6.7 International Laws and Jurisdiction in Cybersecurity 118 6.8 Liability and Responsibility in Cybersecurity 122 6.9 Government Surveillance and Cybersecurity 123 6.10 Cybersecurity and Employment Law 124 6.11 Cybersecurity and E-Commerce 126 6.12 Emerging Legal Issues in Cybersecurity 127 6.13 Result 131 6.14 Conclusion 132 7 A Novel Non-Orthogonal Multiple Access Scheme for Next Generation Millimeter-Wave 5G Communications 137 Udayakumar Easwaran and Krishnaveni Vellingiri 7.1 Introduction 138 7.2 Related Works 141 7.3 MIMO-NOMA Systems 143 7.4 Phase Noise 150 7.5 Results and Discussion 153 7.6 Conclusion 156 8 Generation of Key Predistribution Scheme Applying Quasi-Symmetric Designs and Bent Functions in the Wireless Sensor Network 159 Debashis Ghosh 8.1 Introduction 160 8.2 Background 163 8.3 Our Proposed Scheme 178 8.4 Conclusion 182 9 Enhanced Security Measures Within the ITS Infrastructure Through the Application of Machine Learning Algorithms for Anomaly Detection 187 Shiplu Das, Soumi De, Ananya Ghosh, Sovraj Dey and Tania Bhattacharjee 9.1 Introduction 188 9.2 Literature Review 190 9.3 Proposed Work 197 9.4 Methodology Analysis and Discussion 199 9.5 Conclusion 202 10 The Impact of Distributed Ledger in IoT: A Comprehensive Overview 205 Rick Hore, Rishav Dan, Abhijit Sarkar and Sabyasachi Samanta 10.1 Introduction 206 10.2 Related Work 212 10.3 The Potential of DTL in IoT Application 215 10.4 Current Use Cases of IoT and DLT 218 10.5 Opportunities and Challenges of Integrating DLT with IoT 220 10.6 The Future of DLT in IoT Ecosystems 222 10.7 Conclusion 224 11 A Cryptographic Technique Using Chemicals and Graphs 229 Kala Raja Mohan, Nagadevi Bala Nagaram, R. Narmada Devi, Regan Murugesan and Subashini Chandrasekar 11.1 Introduction 230 11.2 Standard Definitions 231 11.3 Periodic Table 232 11.4 Coding Table with Chemical Elements 232 11.5 Encryption Algorithm 233 11.6 Encryption Process--Example 233 11.7 Algorithm for Decryption 235 11.8 Decryption Process-Example 235 11.9 Conclusion 236 12 Federated Learning: A Secure Distributed Machine Learning Approach for IoT Technology 239 Rituparna Saha and Amit Biswas 12.1 Introduction 240 12.2 Categorization of FL 243 12.3 Data Availability 244 12.4 Federated Learning Training Approaches 244 12.5 Key Research Directions Related to FL 245 12.6 Application Areas of FL 246 12.7 Conclusion 250 13 Security Analysis for Mobile Crowdsensing Scheme by Predicting Vehicle Mobility Using Deep Learning Algorithm 257 Monojit Manna, Arpan Adhikary and Sima Das 13.1 Introduction 258 13.2 Related Work 259 13.3 System Model 261 13.4 Model of Threat in Mobile Crowdsensing 262 13.5 DL-Based Authentication 264 13.6 Dl-Based Privacy Protection 265 13.7 False Sensing Countermeasures Based on DL 267 13.8 Dl-Based Detection of Intrusion 267 13.9 The DLMV Approach's Design 269 13.10 Experimental Result 272 13.11 Conclusion 273 14 A Study on Protection of Multimedia System Contents Using a Biometric-Based Encryption Technique 277 Pinaki Pratim Acharjya, Santanu Koley, Subhabrata Barman, Subhankar Joardar and Jayeeta Majumder 14.1 Introduction 277 14.2 Literature Survey 281 14.3 Multimedia Content Protection 283 14.4 Encryption/Decryption in Biometrics 284 14.5 The Process 287 14.6 Experimental Results 289 14.7 Conclusion 290 15 Deep Learning Algorithms for Detecting Network Attacks--An Overview 293 R. Mythili and A.S. Aneetha 15.1 Introduction 294 15.2 Technologies of Network Security 296 15.3 Network Attacks 299 15.4 Deep Learning Approaches 302 15.5 Models of IDS 311 15.6 IDS Datasets 312 15.7 Result Analysis 314 15.8 Evaluation Metrics 315 15.9 Conclusion 320 16 Deep Learning Techniques for Detection of Fake News in Social Media with Huge Data 325 Namratha M., Rajeshwari B. S. and Jyothi S. Nayak 16.1 Introduction 326 16.2 Related Work 329 16.3 Proposed Work 332 16.4 Results and Discussion 337 16.5 Conclusion 342 16.6 Future Work 343 17 A Secure IoT-Based Heart Rate Monitoring and Analyzing System 347 Soumya Roy, Rajib Manna, Sabyasachi Samanta, Moumita Sahoo and Somak Karan 17.1 Introduction 348 17.2 Literature Review 353 17.3 Methodology 355 17.4 Result Analysis 369 17.5 Conclusion 376 18 A Secure IoT-Based Approach for Smart Irrigation System Using an Arduino Uno Microcontroller 379 Nitesh Kumar, Soumen Ghosh, Sabyasachi Samanta, Abhijit Sarkar and Priyatosh Jana 18.1 Introduction 380 18.2 Literature Review 384 18.3 Methodology 388 18.4 Result Analysis 395 18.5 Conclusion 396 18.6 Future Aspect 396 19 Machine Learning Applications, Challenges, and Securities for Remote Healthcare: A Systematic Review 401 Arpan Adhikary, Sima Das, Asit Kumar Nayek, Monojit Manna and Rabindranath Sahu 19.1 Introduction 402 19.2 Definition of Remote Monitoring of Patients 403 19.3 Difference Between the Terminologies "Remote Health Care" and "Remote Healthcare" 404 19.4 Components of the Remote Healthcare System 404 19.5 Benefits of Remote Healthcare 405 19.6 Challenges in the Remote Healthcare System 406 19.7 Application Areas of Machine Learning in the Remote Healthcare System 406 19.8 The Advantage of Remote Monitoring System 408 19.9 Important Features and Factors of the Remote Monitoring System 409 19.10 Sensors Needed for the Wireless Body Area Network (WBAN) 411 19.11 Challenges of the Wireless Body Area Network (WBAN) 412 19.12 Machine Learning Solution for Remote Monitoring 413 19.13 Internet of Things Solution for Remote Monitoring 414 19.14 Security Solution for the Remote Monitoring 416 19.15 Conclusion 416 20 Enhancing Video Steganography Security for Cross-Platform Applications: A Focus on High-Definition Formats and Streaming Environments 421 Santanu Koley and Ankur Kumar 20.1 Introduction 422 20.2 Video Steganography 422 20.3 The Compressed Domain 422 20.4 Coding Concepts 423 20.5 Temporal Model 424 20.6 Macroblocks Motion Estimation 425 20.7 Steganalysis 425 20.8 Cryptography 428 20.9 Steganographic Encoder 435 20.10 Conclusion 437 20.11 Future Work 438 References 438 Index 441
Preface xxi 1 Yet Another Move Towards Securing Video Using Sudoku-Fernet 1 Sunanda Jana, Swarnajit Bhattacharya, Mrinmoy Sen, Abhinandan Khan, Arnab Kumar Maji and Rajat Kumar Pal 1.1 Introduction 1 1.2 Literature Survey 6 1.3 Proposed Methodology 8 1.4 Result Analysis 12 1.5 Computational Complexity 14 1.6 Conclusions 15 2 Watermarking: Characteristics, Methods, and Evaluation 17 Soumitra Roy and Bappaditya Chakraborty 2.1 Introduction 18 2.2 Watermark Definition 20 2.3 Properties of Watermarking 22 2.4 Categorization of Watermarking 25 2.5 Attacks on Watermarking 29 2.6 Chapter Summary 32 3 A Comprehensive Study on Deep Learning and Artificial Intelligence for Malware Analysis 39 Tukkappa Gundoor and Sridevi 3.1 Introduction 40 3.2 The Evolving Landscape of Malware Threats 40 3.3 The Role of Deep Learning and AI in Enhancing Cybersecurity 42 3.4 Deep Learning Models for Malware Analysis 45 3.5 AI Techniques in Malware Analysis 50 3.6 Challenges and Limitations in Malware Family Classification 51 3.7 Future Directions 54 4 Transmit Texts Covertly Using Trigonometric Functions and Pythagorean Theorem 61 Nagadevi Bala Nagaram, R. Narmada Devi and S. Karpagam 4.1 Introduction 62 4.2 Mainstream Definition 69 4.3 Description of the Work 73 4.4 Algorithm for Decryption 75 4.5 Conclusion 76 5 Exploring the Synergy of Cybersecurity and Blockchain: Strengthening Digital Defenses 79 Mohan Kumar Dehury, Bhabendu Kumar Mohanta, Manorama Patnaik, Biresh Kumar and Purushottam Kumar 5.1 Introduction 80 5.2 Blockchain Infrastructure 81 5.3 Literature Review 86 5.4 Cybersecurity Fundamentals 87 5.5 Synergies Between Blockchain and Cybersecurity 93 5.6 Applications of Blockchain and Cybersecurity 94 5.7 Challenges and Considerations 95 5.8 Future Directions and Innovations 97 5.9 Conclusion 98 6 Protecting in the Digital Age: A Comprehensive Examination of Cybersecurity and Legal Implications 105 Nazeer Shaik, B. Hari Chandana, P. Chitralingappa and C. Sasikala 6.1 Introduction 106 6.2 First-Order Heading 107 6.3 Data Protection and Privacy Laws 111 6.4 Intellectual Property Rights in Cyberspace 116 6.5 Cybersecurity Regulations and Compliance 117 6.6 Cybersecurity Incident Response and Reporting 117 6.7 International Laws and Jurisdiction in Cybersecurity 118 6.8 Liability and Responsibility in Cybersecurity 122 6.9 Government Surveillance and Cybersecurity 123 6.10 Cybersecurity and Employment Law 124 6.11 Cybersecurity and E-Commerce 126 6.12 Emerging Legal Issues in Cybersecurity 127 6.13 Result 131 6.14 Conclusion 132 7 A Novel Non-Orthogonal Multiple Access Scheme for Next Generation Millimeter-Wave 5G Communications 137 Udayakumar Easwaran and Krishnaveni Vellingiri 7.1 Introduction 138 7.2 Related Works 141 7.3 MIMO-NOMA Systems 143 7.4 Phase Noise 150 7.5 Results and Discussion 153 7.6 Conclusion 156 8 Generation of Key Predistribution Scheme Applying Quasi-Symmetric Designs and Bent Functions in the Wireless Sensor Network 159 Debashis Ghosh 8.1 Introduction 160 8.2 Background 163 8.3 Our Proposed Scheme 178 8.4 Conclusion 182 9 Enhanced Security Measures Within the ITS Infrastructure Through the Application of Machine Learning Algorithms for Anomaly Detection 187 Shiplu Das, Soumi De, Ananya Ghosh, Sovraj Dey and Tania Bhattacharjee 9.1 Introduction 188 9.2 Literature Review 190 9.3 Proposed Work 197 9.4 Methodology Analysis and Discussion 199 9.5 Conclusion 202 10 The Impact of Distributed Ledger in IoT: A Comprehensive Overview 205 Rick Hore, Rishav Dan, Abhijit Sarkar and Sabyasachi Samanta 10.1 Introduction 206 10.2 Related Work 212 10.3 The Potential of DTL in IoT Application 215 10.4 Current Use Cases of IoT and DLT 218 10.5 Opportunities and Challenges of Integrating DLT with IoT 220 10.6 The Future of DLT in IoT Ecosystems 222 10.7 Conclusion 224 11 A Cryptographic Technique Using Chemicals and Graphs 229 Kala Raja Mohan, Nagadevi Bala Nagaram, R. Narmada Devi, Regan Murugesan and Subashini Chandrasekar 11.1 Introduction 230 11.2 Standard Definitions 231 11.3 Periodic Table 232 11.4 Coding Table with Chemical Elements 232 11.5 Encryption Algorithm 233 11.6 Encryption Process--Example 233 11.7 Algorithm for Decryption 235 11.8 Decryption Process-Example 235 11.9 Conclusion 236 12 Federated Learning: A Secure Distributed Machine Learning Approach for IoT Technology 239 Rituparna Saha and Amit Biswas 12.1 Introduction 240 12.2 Categorization of FL 243 12.3 Data Availability 244 12.4 Federated Learning Training Approaches 244 12.5 Key Research Directions Related to FL 245 12.6 Application Areas of FL 246 12.7 Conclusion 250 13 Security Analysis for Mobile Crowdsensing Scheme by Predicting Vehicle Mobility Using Deep Learning Algorithm 257 Monojit Manna, Arpan Adhikary and Sima Das 13.1 Introduction 258 13.2 Related Work 259 13.3 System Model 261 13.4 Model of Threat in Mobile Crowdsensing 262 13.5 DL-Based Authentication 264 13.6 Dl-Based Privacy Protection 265 13.7 False Sensing Countermeasures Based on DL 267 13.8 Dl-Based Detection of Intrusion 267 13.9 The DLMV Approach's Design 269 13.10 Experimental Result 272 13.11 Conclusion 273 14 A Study on Protection of Multimedia System Contents Using a Biometric-Based Encryption Technique 277 Pinaki Pratim Acharjya, Santanu Koley, Subhabrata Barman, Subhankar Joardar and Jayeeta Majumder 14.1 Introduction 277 14.2 Literature Survey 281 14.3 Multimedia Content Protection 283 14.4 Encryption/Decryption in Biometrics 284 14.5 The Process 287 14.6 Experimental Results 289 14.7 Conclusion 290 15 Deep Learning Algorithms for Detecting Network Attacks--An Overview 293 R. Mythili and A.S. Aneetha 15.1 Introduction 294 15.2 Technologies of Network Security 296 15.3 Network Attacks 299 15.4 Deep Learning Approaches 302 15.5 Models of IDS 311 15.6 IDS Datasets 312 15.7 Result Analysis 314 15.8 Evaluation Metrics 315 15.9 Conclusion 320 16 Deep Learning Techniques for Detection of Fake News in Social Media with Huge Data 325 Namratha M., Rajeshwari B. S. and Jyothi S. Nayak 16.1 Introduction 326 16.2 Related Work 329 16.3 Proposed Work 332 16.4 Results and Discussion 337 16.5 Conclusion 342 16.6 Future Work 343 17 A Secure IoT-Based Heart Rate Monitoring and Analyzing System 347 Soumya Roy, Rajib Manna, Sabyasachi Samanta, Moumita Sahoo and Somak Karan 17.1 Introduction 348 17.2 Literature Review 353 17.3 Methodology 355 17.4 Result Analysis 369 17.5 Conclusion 376 18 A Secure IoT-Based Approach for Smart Irrigation System Using an Arduino Uno Microcontroller 379 Nitesh Kumar, Soumen Ghosh, Sabyasachi Samanta, Abhijit Sarkar and Priyatosh Jana 18.1 Introduction 380 18.2 Literature Review 384 18.3 Methodology 388 18.4 Result Analysis 395 18.5 Conclusion 396 18.6 Future Aspect 396 19 Machine Learning Applications, Challenges, and Securities for Remote Healthcare: A Systematic Review 401 Arpan Adhikary, Sima Das, Asit Kumar Nayek, Monojit Manna and Rabindranath Sahu 19.1 Introduction 402 19.2 Definition of Remote Monitoring of Patients 403 19.3 Difference Between the Terminologies "Remote Health Care" and "Remote Healthcare" 404 19.4 Components of the Remote Healthcare System 404 19.5 Benefits of Remote Healthcare 405 19.6 Challenges in the Remote Healthcare System 406 19.7 Application Areas of Machine Learning in the Remote Healthcare System 406 19.8 The Advantage of Remote Monitoring System 408 19.9 Important Features and Factors of the Remote Monitoring System 409 19.10 Sensors Needed for the Wireless Body Area Network (WBAN) 411 19.11 Challenges of the Wireless Body Area Network (WBAN) 412 19.12 Machine Learning Solution for Remote Monitoring 413 19.13 Internet of Things Solution for Remote Monitoring 414 19.14 Security Solution for the Remote Monitoring 416 19.15 Conclusion 416 20 Enhancing Video Steganography Security for Cross-Platform Applications: A Focus on High-Definition Formats and Streaming Environments 421 Santanu Koley and Ankur Kumar 20.1 Introduction 422 20.2 Video Steganography 422 20.3 The Compressed Domain 422 20.4 Coding Concepts 423 20.5 Temporal Model 424 20.6 Macroblocks Motion Estimation 425 20.7 Steganalysis 425 20.8 Cryptography 428 20.9 Steganographic Encoder 435 20.10 Conclusion 437 20.11 Future Work 438 References 438 Index 441
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