Results 11 to 20 of about 165,492 (209)
Hybrid CNN and RNN-based shilling attack framework in social recommender networks [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2022 INTRODUCTION: Recommender system is considered to be widely utilized in diversified domain for the purpose of effectively handling information overload.
Praveena Narayanan, Vivekanandan. K
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G-IDCS: Graph-Based Intrusion Detection and Classification System for CAN Protocol
IEEE Access, 2023 The security of in-vehicle networks has become an important issue as automobiles become more connected and automated. In this paper, we propose a graph-based intrusion detection and classification system, named G-IDCS, which aims to enhance the security ...
Sung Bum Park, Hyo Jin Jo, Dong Hoon Lee
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LSTM-Based Collaborative Source-Side DDoS Attack Detection
IEEE Access, 2022 As denial of service attacks become more sophisticated, the source-side detection techniques are being studied to solve the limitations of target-side detection techniques such as delayed detection and difficulty in tracking attackers.
Sungwoong Yeom +2 more
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Wormhole attack detection techniques in ad-hoc network: A systematic review
Open Computer Science, 2022 Mobile ad hoc networks (MANETs) are considered as decentralized networks, which can communicate without pre-existing infrastructure. Owning to utilization of open medium access and dynamically changing network topology, MANETs are vulnerable to different
Gupta Chitvan +2 more
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Detection of Multi-Stage Attacks Through Attack Pattern Segmentation
IEEE AccessAdvanced cyberattack patterns threatening network assets employ various attack vectors, multi-stage attack processes, and diverse penetration strategies.
Seonghyeon Gong +2 more
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Situation Awareness Assessment Approach Based on Attack Traffic and System Vulnerabilities
Shuju Caiji Yu ChuliNetwork security situation assessment plays an important role in the design and implementation of network defense strategies. The existing situation assessment methods gather the information of both attack and defense to construct an assessment model ...
LI Yan +4 more
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Multi-Step Attack Detection Based on Pre-Trained Hidden Markov Models
Sensors, 2022 Currently, hidden Markov-based multi-step attack detection models are mainly trained using the unsupervised Baum–Welch algorithm. The Baum–Welch algorithm is sensitive to the initial values of model parameters.
Xu Zhang +7 more
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Tongxin xuebao, 2016 Aiming at cache pollution attacks in content centric networking,the attacks were quantitatively described by three parameters,namely number of pollution contents,distribution of attack requests and attack intensity,then the cache state model of node ...
Hong-bo TANG +3 more
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A false data attack detection method for power grid based on an improved AIGA
Zhejiang dianli, 2023 As a typical cyber-physical attack， false data are measured unchanged， thus deceiving the detection based on chi-square detector. To this end， a false data attack detection method for smart grid based on an improved adaptive immune genetic algorithm ...
WANG Xinyu +4 more
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FEBS Letters, EarlyView.We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley +1 more source