Výsledky vyhledávání - "cyber incident"

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Towards a Comprehensive Framework for Cyber-Incident Response Decision Support in Smart Grids

Autor: Sen, Omer, Aust, Yanico, Neumuller, Martin, Hacker, Immanuel, Ulbig, Andreas

Publikováno v: 14th Mediterranean Conference on Power Generation Transmission, Distribution and Energy Conversion - MED POWER 2024

The modernization of power grid infrastructures necessitates the incorporation of decision support systems to effectively mitigate cybersecurity threats. This paper presents a comprehensive framework based on integrating Attack-Defense Trees and the

Externí odkaz: http://arxiv.org/abs/2412.06254

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Akademický článek

Supporting cyber-incident response with AIIMS.

Autor: Griffiths, David¹

Publikováno v: Australian Journal of Emergency Management. Oct2024, Vol. 39 Issue 4, p119-124. 6p.

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GenDFIR: Advancing Cyber Incident Timeline Analysis Through Retrieval Augmented Generation and Large Language Models

Autor: Loumachi, Fatma Yasmine, Ghanem, Mohamed Chahine, Ferrag, Mohamed Amine

Cyber timeline analysis, or forensic timeline analysis, is crucial in Digital Forensics and Incident Response (DFIR). It examines artefacts and events particularly timestamps and metadata to detect anomalies, establish correlations, and reconstruct i

Externí odkaz: http://arxiv.org/abs/2409.02572

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Reinforcement Learning for an Efficient and Effective Malware Investigation during Cyber Incident Response

Autor: Dunsin, Dipo, Ghanem, Mohamed Chahine, Ouazzane, Karim, Vassilev, Vassil

This research focused on enhancing post-incident malware forensic investigation using reinforcement learning RL. We proposed an advanced MDP post incident malware forensics investigation model and framework to expedite post incident forensics. We the

Externí odkaz: http://arxiv.org/abs/2408.01999

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Structural Generalization in Autonomous Cyber Incident Response with Message-Passing Neural Networks and Reinforcement Learning

Autor: Nyberg, Jakob, Johnson, Pontus

We believe that agents for automated incident response based on machine learning need to handle changes in network structure. Computer networks are dynamic, and can naturally change in structure over time. Retraining agents for small network changes

Externí odkaz: http://arxiv.org/abs/2407.05775

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AI-Enabled System for Efficient and Effective Cyber Incident Detection and Response in Cloud Environments

Autor: Farzaan, Mohammed Ashfaaq M., Ghanem, Mohamed Chahine, El-Hajjar, Ayman, Ratnayake, Deepthi N.

The escalating sophistication and volume of cyber threats in cloud environments necessitate a paradigm shift in strategies. Recognising the need for an automated and precise response to cyber threats, this research explores the application of AI and

Externí odkaz: http://arxiv.org/abs/2404.05602

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