Advances in Security for Emerging Intelligent Systems
Cong Wu;Jing Chen;Yebo Feng
Synopsis "Advances in Security for Emerging Intelligent Systems"
The rapid advancement of emerging intelligent systems has brought significant benefits and complex challenges to the cybersecurity field. These technologies, which include advanced sensors integrated with artificial intelligence and machine learning algorithms, are increasingly deployed across various sectors, such as healthcare, finance, transportation, and critical infrastructure. The capabilities of these intelligent systems to autonomously collect, process, and analyze data make them vital components in modern applications. However, the complexity and interconnectedness of emerging intelligent systems also make them prime targets for sophisticated cyber-attacks, posing risks to their reliable operation across various applications and industries. Ensuring the security of these systems is essential to maintain public trust, operational reliability, and the protection of sensitive data. This Special Issue aims to address the urgent need for robust security measures to protect emerging intelligent systems from evolving threats by showcasing the latest research and innovative solutions designed to enhance their security and resilience against potential cyber threats. This Special Issue Reprint collected the latest findings and insights, fostering a deeper understanding and development of security and privacy measures for these systems. Read more