• Adversarial attack detection framework based on optimized weighted conditional stepwise adversarial network 

      Barik, Kousik; Misra, Sanjay; Fernandez-Sanz, Luis (Peer reviewed; Journal article, 2024)
      Artificial Intelligence (AI)-based IDS systems are susceptible to adversarial attacks and face challenges such as complex evaluation methods, elevated false positive rates, absence of effective validation, and time-intensive ...
    • Cybersecurity Deep: Approaches, Attacks Dataset, and Comparative Study 

      Barik, Kousik; Misra, Sanjay; Konar, Karabi; Fernandez-Sanz, Luis; Koyuncu, Murat (Peer reviewed; Journal article, 2022)
      Cyber attacks are increasing rapidly due to advanced digital technologies used by hackers. In addition, cybercriminals are conducting cyber attacks, making cyber security a rapidly growing field. Although machine learning ...
    • The Emerging Threat of Ai-driven Cyber Attacks: A Review 

      Guembe, Blessing; Azeta, Ambrose; Misra, Sanjay; Chukwudi Osamor, Victor; Fernandez-Sanz, Luis; Pospelova, Vera (Peer reviewed; Journal article, 2022)
      Cyberattacks are becoming more sophisticated and ubiquitous. Cybercriminals are inevitably adopting Artificial Intelligence (AI) techniques to evade the cyberspace and cause greater damages without being noticed. Researchers ...
    • Study of the Yahoo-Yahoo Hash-Tag Tweets Using Sentiment Analysis and Opinion Mining Algorithms 

      Abayomi-Alli, Adebayo; Abayomi-Alli, Olusola; Misra, Sanjay; Fernandez-Sanz, Luis (Peer reviewed; Journal article, 2022)
      Mining opinion on social media microblogs presents opportunities to extract meaningful insight from the public from trending issues like the “yahoo-yahoo” which in Nigeria, is synonymous to cybercrime. In this study, content ...