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Research Area

Security

Computer security, or cybersecurity, is the practice of protecting computer systems, networks, and programs from digital attacks that include malware, ransomware, phishing and denial-of-service and vulnerability attacks. These attacks have the potential to damage a victim –individual or organization, industry or government – through data theft, downtime, identity theft, reputational damage, and more. Modern cybersecurity is an ‘arms race,’ in which information technology security teams strive to keep ahead of cybercriminal tactics. Cybersecurity research and innovation generates advances that help address evolving cyber risks, to build a trustworthy and resilient digital environment.

Research Topics

  • Software Reliability and Security: Security has emerged as one of the most significant challenges facing developers of software systems. As the role of software systems becomes increasingly integral to the management of finance, infrastructure, defence and industry, software failures can result in catastrophic consequences directly or indirectly; not only can they lead to property damage and financial loss, but they may cause serious injury or even loss of life. Computer science researchers work closely with computer engineers to assess, predict and improve the reliability, safety, and security of software products.
  • Using AI to Address Cybersecurity Threats: AI, via advanced analytics and machine learning, is redefining cybersecurity today. AI is increasingly effective in detecting cyber threats, such as malware, fraud, and intrusion. AI also shows great promise in identifying vulnerabilities to and protecting digital platforms against cyber attacks.
  • Adversarial Analytics: The cybersecurity ‘arms race’ – between those who seek to secure a system, network or program from digital attack, and hackers who seek to access, alter or damage it in an unauthorized way – is an ongoing challenge. Technological advances such as AI can be applied not only by defenders but also by attackers. Adversarial analytics seeks to identify hacker tactics and protect against them and has applications in domains including policing, cybercrime, fraud detection, signals intelligence, counterterrorism, and anti-money-laundering.

Faculty


  • Furkan Alaca
    Research Interests:
    • Computer and Internet security
    • User Authentication
    • Usable Security
  • Steven Ding
    Research Interests:
    • Data Mining
    • Machine Learning
    • Security
  • David Skillicorn
    Research Interests:
    • adversarial knowledge discovery 
  • Mohammad Zulkernine
    Research Interests:
    • Cyber-Physical System (IoT and Vehicle) Security
    • Software Reliability
    • Security Engineering
All Research Faculty
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