An Examination of AI-Integrated Wireless Sensor Networks Security

Abstract

The proliferation of WSN from critical applications has presented further significant security problems. This chapter addresses the opportunities of AI to deal with such growing threats, showing a paradigm shift from conventional defense approaches. Different AI-aware WSN applications are outlined, relying on their specific security considerations. It analyzes why conventional security fending measures fail to react to advanced attacks, and how the threatening trend of offensive AI has gained popularity. In addition, the chapter gives a detailed visual of how AI-based security frameworks may be exploited using to enhance model reliability against adversarial attacks, provide scalable and adaptive defense policies, and mitigate risks. AI-enabled security for WSNs is surveyed in different security scopes; namely, emerging technologies and AI impact for more secure WSNs with ML and DL. Finaly highlights the challenges and opportunities in an emerging field of research, including emerging research directions, state-of-art AI security models, and the need for standardization and policy.