Cybersecurity in Intelligent Networking Systems IEEE Press 1st Edition by Shengjie Xu, Yi Qian, Rose Qingyang Hu 1119784123 9781119784128

1 Cybersecurity in the Era of Artificial Intelligence

1.1 Artificial Intelligence for Cybersecurity

1.2 Key Areas and Challenges

1.3 Toolbox to Build Secure and Intelligent Systems

1.4 Data Repositories for Cybersecurity Research

1.5 Summary

Notes

References

2 Cyber Threats and Gateway Defense

2.1 Cyber Threats

2.2 Gateway Defense Approaches

2.3 Emerging Data‐driven Methods for Gateway Defense

2.4 Case Study: Reinforcement Learning for Automated Post‐breach Penetration Test

2.5 Summary

References

3 Edge Computing and Secure Edge Intelligence

3.1 Edge Computing

3.2 Key Advances in Edge Computing

3.3 Secure Edge Intelligence

3.4 Summary

References

4 Edge Intelligence for Intrusion Detection

4.1 Edge Cyberinfrastructure

4.2 Edge AI Engine

4.3 Threat Intelligence

4.4 Preliminary Study

4.5 Summary

References

5 Robust Intrusion Detection

5.1 Preliminaries

5.2 Robust Intrusion Detection

5.3 Experimental and Evaluation

5.4 Summary

References

6 Efficient Pre‐processing Scheme for Anomaly Detection

6.1 Efficient Anomaly Detection

6.2 Proposed Pre‐processing Scheme for Anomaly Detection

6.3 Case Study

6.4 Summary

References

7 Privacy Preservation in the Era of Big Data

7.1 Privacy Preservation Approaches

7.2 Privacy‐Preserving Anomaly Detection

7.3 Objectives and Workflow

7.4 Predicate Encryption‐Based Anomaly Detection

7.5 Case Study and Evaluation

7.6 Summary

References

8 Adversarial Examples: Challenges and Solutions

8.1 Adversarial Examples

8.2 Adversarial Attacks in Security Applications

8.3 Case Study: Improving Adversarial Attacks Against Malware Detectors

8.4 Case Study: A Metric for Machine Learning Vulnerability to Adversarial Examples

8.5 Case Study: Protecting Smart Speakers from Adversarial Voice Commands

8.6 Summary

References

Index

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