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The Research Monograph Series in Computing, Electrical & Communication Networks
Explainable Artificial Intelligence For Smart City Application: A Security, Privacy And Trusted Platform
Authors : Dr. E. LOGASHANMUGAM
Explainable Artificial Intelligence (XAI) is an emerging field that aims to develop AI systems that can explain their decision-making process in a human-understandable way. XAI is particularly relevant in the context of Intrusion Detection Systems (IDS), which are used to detect and respond to cyber attacks.
Part of the book series: The Research Monograph Series in Computing, Electrical & Communication Networks
Authors : Dr. E. LOGASHANMUGAM
Pages : 13-17
Authors : Dr. E. LOGASHANMUGAM
Pages : 18-23
Authors : Dr. E. LOGASHANMUGAM
Pages : 24-25
Authors : Dr. E. LOGASHANMUGAM
Pages : 26-29
Authors : Dr. E. LOGASHANMUGAM
Pages : 30-31
Authors : Dr. E. LOGASHANMUGAM
Pages : 32
Authors : Dr. E. LOGASHANMUGAM
Pages : 33
Authors : Dr. E. LOGASHANMUGAM
Pages : 34-36
Explainable Artificial Intelligence (XAI) refers to the ability of an AI system to explain its decision-making process in a way that is understandable to human experts and end-users. XAI is becoming increasingly important for applications such as smart city development, where the use of AI can have significant implications for security, privacy, and trust. Smart city applications rely on AI to process large amounts of data from various sources, such as sensors and cameras, to make decisions and automate processes that can improve the efficiency and quality of services. However, these AI systems can be vulnerable to security breaches and privacy violations, especially if they operate in sensitive areas such as public safety and surveillance.
Dr. E. LOGASHANMUGAM