• 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 ...
    • A Novel Data Augmentation Convolutional Neural Network for Detecting Malaria Parasite in Blood Smear Images 

      Oyewola, David Opeoluwa; Dada, Emmanuel Gbenga; Misra, Sanjay; Damaševičius, Robertas (Peer reviewed; Journal article, 2022)
      Malaria fever is a potentially fatal disease caused by the Plasmodium parasite. Identifying Plasmodium parasites in blood smear images can help diagnose malaria fever rapidly and precisely. According to the World Health ...
    • Privacy Issues, Attacks, Countermeasures and Open Problems in Federated Learning: A Survey 

      Guembe, Blessing; Misra, Sanjay; Azeta, Ambrose (Peer reviewed; Journal article, 2024)
      Aim: This study presents a cutting-edge survey on privacyissues, security attacks, countermeasures and open problemsin FL.Methodology: The Preferred Reporting Items for SystematicReviews and Meta-Analyses (PRISMA) approach ...