Special Issue "Artificial Intelligence for Cybersecurity"
Deadline for manuscript submissions: 20 December 2020.
Interests: cybersecurity; big data; IoT; AI/ML
Despite the significant increase in cybersecurity solutions investment, organizations are still plagued by security breaches. Artifial Intelligence (AI) and Machine Learning (ML) has taken centre stage in the cybersecurity industry indicating a clear trend in future cyber defence technologies. With today’s ever evolving cyberthreats, AI and ML are used to automate threat detection and response more efficiently than traditional security solutions. With AI stepping into cybersecurity, experts and researchers are trying to use its potential to identify and counteract sophisticated cyber-attacks with minimal human intervention. Implementing basic building blocks of practical AI together with security solutions, facilitates automation and orchestration to build autonomic security solutions that can keep up with the scale, speed, complexity and adaptability of today’s cybersecurity threats. Hence, with all the hype surrounding AI\ML for cybersecurity, one potential question is how it can be utilised to achieve predictive powers to solve different cybersecurity problems in real-world. Implementing AI\ML in cybersecurity has long-standing challenges that require methodological and theoretical handling. AI\ML introduce a new set of problems, challeges, risks and vulnerabilities, when used in real-world, which makes it susceptible to adversarial activity.
This Special Issue is dedicated to publishing cutting-edge research focused on addressing the various fundamental technical open challenges related to implementing AI\ML in the area of cybersecurity to discuss the hype around the ability of AI-powered solutions that claim to “do it all.”
- Topics of interest include the following:
- Artificial intelligence and machine learning for cybersecurity
- Threat intelligence and AIOps
- Data intellgeince and DataOps
- Preventing security and data breaches
- Risk management and threat management
- Security operation centers management and challenges
- Threat landscape prediction
- Adversairal machine learning
- Threat and risk modelling
- Log management
- IoT security
- Mobile Security
- Network Security
- Enterprise security
Dr. Amani S. Ibrahim
Manuscript Submission Information
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