• COVID-19 and Global Increases in Cybersecurity Attacks: Review of Possible Adverse Artificial Intelligence Attacks 

      Alzarqawee, Aws Naser Jaber; Fritsch, Lothar (International Computer Science and Engineering Conference (ICSEC);2021 25th International Computer Science and Engineering Conference, Conference object, 2022)
      The World Health Organization's (WHO) coronavirus disease dashboard has recorded over 207 million confirmed infections and over 4 million deaths. There has been an increasing vulnerability in cybersecurity amongst businesses, ...
    • An overview of artificial intelligence used in malware 

      Fritsch, Lothar; Alzarqawee, Aws Naser Jaber; Yazidi, Anis (Chapter; Conference object, 2023)
      Artificial intelligence (AI) and machine learning (ML) methods are increasingly adopted in cyberattacks. AI supports the establishment of covert channels, as well as the obfuscation of malware. Additionally, AI results in ...
    • Towards AI-powered Cybersecurity Attack Modeling with Simulation Tools: Review of Attack Simulators 

      Alzarqawee, Aws Naser Jaber; Fritsch, Lothar (Lecture Notes in Networks and Systems;Volume 571, Conference object, 2023-10-18)
      Cybersecurity currently focuses primarily on defenses that detect and prevent cyber-attacks. However, it is more important to regularly verify an organization’s security posture to reinforce its cybersecurity defenses as ...