Reconstruction of the cyber attack pattern?
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Reconstruction of cyber attack patterns is a crucial task for cyber analysts to understand how attacks unfold. Existing techniques for attack reconstruction are often heuristic or rule-based, requiring significant effort to develop rules or heuristics. However, recent advancements propose new frameworks and methods to address this challenge. AttRSeq is a framework that discovers similar attack steps across different instances and identifies nodes contributing to an attack . Another approach focuses on cyber-physical systems and designs a robust reconstruction observer to reconstruct attack signals . Additionally, a higher-order sliding-mode observer is used to estimate system states and reconstruct plant attacks . Sliding mode differentiation techniques combined with sparse recovery algorithms are also employed for reconstructing unknown cyber-attacks . These techniques demonstrate promising results in reconstructing cyber attack patterns and enhancing cyber security.
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| Papers (4) | Insight |
|---|---|
10 May 2021 2 Citations | The paper discusses the design of a robust reconstruction observer to reconstruct the attack signal in a cyber-physical system, but it does not specifically mention the reconstruction of the cyber attack pattern. |
29 Jan 2023 | The paper presents AttRSeq, a framework for reconstructing attack patterns by discovering similar attack steps across different instances and identifying nodes that contribute to an attack. |
29 Jan 2023 | The paper presents AttRSeq, a framework for reconstructing attack patterns by discovering similar attack steps across different instances and identifying nodes that contribute to an attack. |
17 Dec 2018 25 Citations | The paper proposes a method to reconstruct the input plant attacks of a nonlinear system, while identifying the rest of the attacks using a Sparse recovery algorithm. |
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