Deep Learning Cognitive Computing Techniques and Their Application in Cybersecurity and Forensics

Dear Colleagues,

Recent developments in artificial intelligence, specifically in deep leaning and cognitive computing techniques, have caused new developments in cybersecurity and forensics. As cyber-attacks and ransomware become more prevalent in all areas of our lives, the struggle to combat these cybercrimes is becoming a daily struggle. Cybercriminals make use of complicated cyber-attack techniques to evade detection systems, making it difficult for security professionals and investigators to capture any potential digital forensic evidence.

For this reason, we believe that deep learning (DL), which is a subset of artificial intelligence (AI), has very distinct use-cases in the domain of cybersecurity and forensics. Although many people might argue that it is not an unrivalled solution, it can help enhance the fight against cybercrime. DL uses some machine learning techniques to solve problems using neural networks that simulate human decision-making. Based on these grounds, DL holds the potential to dramatically change the domain of cybersecurity and forensics in a variety of ways as well as provide solutions to security professionals and forensic investigators. Such solutions can range from managing and responding to cyber-attacks, reducing bias in forensic investigations, as well as challenging what evidence is considered admissible in a court of law or any civil hearing.

While this Special Issue invites a broad range of topics across emerging deep learning cognitive computing techniques applications in cybersecurity and forensics, some specific topics include, but are not limited to: 

• Application of deep learning cognitive computing techniques in cybersecurity or forensics;
• Deep learning for cyber forensics;
• Deep learning enabled cybersecurity or forensics engine;
• Novel machine learning approaches to cybersecurity or forensics;
• Deep learning methods for cybersecurity or forensics;
• Deep learning methods for database security or forensics.

Dr. Nickson M. Karie
Dr. Wencheng Yang
Dr. Oluwasola Mary Adedayo
Guest Editors

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