IEEE RTSI 2025
Architecture Computer Networks & Wireless Communication Computer Security & Cryptography Computing Systems Data Mining & Analysis Databases & Information Systems Artificial Intelligence Engineering & Computer Science (General) Security & Trust & Testing
The Internet of Things (IoT) offers an extension of the currently offered Internet services. Critical data stream sources in IoT continuously generate enormous volumes of data from a wide range of applications. Therefore, it is crucial to guarantee that the data streams are secure, and resistant to cyberattacks. Indeed, as IoT technology has emerged, cyberattacks have undergone an upgrade in their techniques and tactics, which poses serious threats to the Confidentiality, Integrity and Availability (CIA) of IoT systems. Therefore, various layers of defence should be implemented and trigger defence in depth strategy to mitigate malicious activity in IoT networks. Rapid advancements in offensive AI have made it possible for attackers to initiate complex, extensive campaigns in IoT networks. Defensive AI is a potent counter measure that uses sophisticated algorithms to proactively anticipate, identify, and address these threats in IoT networks. Gaining knowledge about attack risks and impacts in addition to the potential security solutions can help mitigate IoT network vulnerabilities and make the network more resistant to future assaults. This special issue aims to discuss the different offensive and defensive AI techniques that can be exploited in IoT networks. In the age of AI, this special issue seeks to promote creative contributions that tackle present and upcoming cybersecurity issues in IoT networks.
Topics could include and are not limited to:
Deadlines
More Information are available at the Web site : https://2025.ieee-rtsi.org/iot-networks-security-risks-and-solutions-based-ai-technology/