دانلود کتاب یادگیری ماشین و تجزیه و تحلیل داده‌ها برای امنیت سایبری

Cyber security is primarily concerned with the protection of digital systems and their respective data. Therefore, how we analyze and monitor such systems are continual challenges that require innovation to keep pace with the modern technological world and ensure that systems are continually protected. Machine learning, as a form of artificial intelligence and data analysis, has been utilized in various ways within the field of cyber security, due to its ability to process and analyze vast volumes of information, therefore creating actionable intelligence for security analysts. This Topical Collection on “Machine Learning and Data Analytics for Cyber Security” invited papers that address the topics of machine learning and data analytics, as well as their applications in emerging challenges in cyber security. We are pleased to have welcomed a range of papers since the Collection first began in 2021, covering topics such as large language models for cybersecurity claim classification, adversarial machine learning attacks against intrusion detection systems, the detection of PLC process control anomalies, identifying session-replay bots compared to human users, and mitigating against side-channel attacks. In this Special Issue, we present 16 papers that have been published in the Topical Collection between 2021 and 2025.