PhD Researcher in Explainable Incident Response
4 dagen geleden
In the realm of Security Operations Centres (SOCs), machine learning (ML) solutions are increasingly being deployed to enhance security coverage and reduce missed attacks. However, these ML systems create many false positives and are often difficult to understand. The forensic analysis of incidents and incident response are largely manual procedures, leading to analyst burnout and 'alert fatigue.'
Research ObjectivesThe objective of this PhD project is to create 'AI-assisted practitioners' for incident response by developing novel ML algorithms that reduce analyst workload and provide decision-making assistance. We propose to develop explainable ML algorithms that summarize large volumes of observable data (intrusion alerts, network & system logs) in order to discover contextually meaningful patterns from them.
Key Responsibilities- Develop novel ML algorithms for incident response
- Explore multi-modal learning and generative AI to produce actionable explanations
- Evaluate these algorithms under closed-world and open-world settings
- Collaborate with industry partners to collect intrusion alert datasets
- Deploy these algorithms in real SOC environments to measure workload reduction
- MSc degree in computer science or similar
- Excellent grades and strong research background
- Interest in cybersecurity and solid background in systems security and/or data science/artificial intelligence
- Experience with UNIX/Linux systems and Python programming
- Curiosity, analytical and communication skills, and team spirit
- Full-time PhD position for four years
- Qualifier in the first year
- Dynamic and stimulating scientific environment
- Competitive salary and benefits
- Opportunities for personal and professional growth
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PhD Researcher in Explainable Incident Response
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PhD Researcher in Explainable Incident Response
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PhD Researcher in Explainable Incident Response
3 dagen geleden
Enschede, Overijssel, Nederland University of Twente VoltijdJob DescriptionIn the realm of cybersecurity, the increasing deployment of machine learning (ML) solutions in Security Operations Centres (SOCs) has led to a surge in false positives and a lack of understanding of how these systems work. The forensic analysis of incidents and incident response remain largely manual procedures, resulting in analyst burnout...
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PhD Researcher in Explainable Incident Response
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Enschede, Overijssel, Nederland University of Twente VoltijdJob DescriptionIn the realm of Security Operations Centres (SOCs), machine learning (ML) solutions are increasingly being deployed to enhance security coverage and reduce missed attacks. However, these ML systems create many false positives and are often difficult to understand. The forensic analysis of incidents and incident response are largely manual...
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PhD Researcher in Explainable Incident Response
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Enschede, Overijssel, Nederland University of Twente VoltijdPhD Researcher in Explainable Incident ResponseIn today's complex cybersecurity landscape, machine learning (ML) solutions are increasingly being deployed in Security Operations Centres (SOCs) to enhance security coverage and reduce the number of missed attacks. However, these ML systems create many false positives and are often difficult to understand,...
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