Contents

Chapters in this book

1. Frontmatter I
2. Preface V
3. Acknowledgments VII
4. About the Editors IX
5. Contents XI
6. List of contributors XIII
7. Impact evaluation of DDoS and Malware attack using IoT devices 1
8. Understanding and implementation of machine learning using support vector machine for efficient DDoS attack detection 29
9. Cryptographic method based on Catalan objects and enumerative chess problem 51
10. Distributed denial-of-service attacks and mitigation in wireless sensor networks 67
11. New techniques for DDoS attacks mitigation in resource-constrained networks 83
12. Detection and behavioral analysis of botnets using honeynets and classification techniques 131
13. Selected practical and effective techniques to combat distributed denial-of-service (DDoS) attacks 159
14. Probability, queuing, and statistical perspective in the distributed denial-of-service attacks domain 173
15. Frequently used machine learning algorithm for detecting the distributed denial-of-service (DDoS) attacks 189
16. Utilization of puzzles for protection against DDoS attacks 203
17. Index 217