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Analyzing and Identifying Data Breaches in Underground Forums
Recently, underground forums play a crucial role in trading and exchanging leaked personal information. Meanwhile, the forums have been gradually used as data breaches' information sources. Therefore, it shows an upward trend in announcing the results of
Yong Fang +3 more
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Cybersecurity awareness can be viewed as the level of appreciation, understanding or knowledge of cybersecurity or information security aspects. Such aspects include cognizance of cyber risks and threats, but also appropriate protection measures.
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TCCCD: Triplet-Based Cross-Language Code Clone Detection
Code cloning is a common practice in software development, where developers reuse existing code to accelerate programming speed and enhance work efficiency. Existing clone-detection methods mainly focus on code clones within a single programming language.
Yong Fang +3 more
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Cybersecurity Dynamics: A Foundation for the Science of Cybersecurity [PDF]
31 pages. Chapter in Springer 2019 book entitled "Proactive and Dynamic Network Defense"
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Information-flow-analysis-based detection of spectre vulnerabilities in RISC-V processors
RISC-V's openness and modularity have accelerated adoption in high-performance processors, yet deep microarchitectural optimizations such as speculative execution and advanced prediction expose designs to Spectre-class transient execution attacks.
TANG Shibo +4 more
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Time-series regression models are essential components in unmanned aerial vehicles (UAVs) for accurate trajectory and state prediction. Nevertheless, they are still vulnerable to hybrid adversarial attacks, which can lead to a compromised mission ...
Bo Xu +9 more
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This study presents a novel framework that enhances the reliability of DNS traffic monitoring using a hybrid long short‐term memory‐deep neural network (LSMT‐DNN) architecture, enabling robust detection of adversarial DNS tunneling. The proposed framework leverages feature extraction from DNS traffic patterns, including domain request sequences, query ...
Ahmad Almadhor +5 more
wiley +1 more source
OntoLogX is an autonomous AI agent that uses large language models to transform unstructured cyber security logs into ontology grounded knowledge graphs. By integrating retrieval augmented generation, iterative correction, and a light‐weight log ontology, OntoLogX produces semantically consistent intelligence that links raw log events to MITRE ATT & CK
Luca Cotti +4 more
wiley +1 more source
Autoscaled-Wavelet Convolutional Layer for Deep Learning-Based Side-Channel Analysis
Continuous Wavelet Transform (CWT) is rarely used in the field of side-channel analysis due to problems related to parameter (wavelet scale) selection; There is no way to find the optimal wavelet scale other than an exhaustive search, and the resulting ...
Daehyeon Bae +6 more
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