Results 1 to 10 of about 61,658 (310)
Network Attack Detection Method of the Cyber-Physical Power System Based on Ensemble Learning
Applied Sciences, 2022 With the rapid development of power grid informatization, the power system has evolved into a multi-dimensional heterogeneous complex system with high cyber-physical integration, denoting the Cyber-Physical Power System (CPPS).
Jie Cao +5 more
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IoT Network Attack Detection and Mitigation [PDF]
2020 9th Mediterranean Conference on Embedded Computing (MECO), 2020 Cyberattacks on the Internet of Things (IoT) can cause major economic and physical damage, and disrupt production lines, manufacturing processes, supply chains, impact the physical safety of vehicles, and damage the health of human beings. Thus we describe and evaluate a distributed and robust attack detection and mitigation system for network ...
Erol Gelenbe +6 more
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Network Inspection for Detecting Strategic Attacks [PDF]
Operations Research, 2022 Ensuring the security of critical infrastructures is crucial for the society’s welfare and prosperity. However, these infrastructure networks are inherently vulnerable to both intentional and unintentional threats. In “Network Inspection for Detecting Strategic Attacks,” Dahan, Sela, and Amin study a strategic network inspection problem, formulated as
Mathieu Dahan, Lina Sela, Saurabh Amin
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Anomaly Detection Algorithm Based on SSC-BP Neural Network [PDF]
Jisuanji kexue, 2021 Aiming at the increasing number and complexity of new network attacks in the Internet of Things environment,the traditional anomaly detection algorithm has high false alarm rate,low detection rate and large amount of data,which cause calculation ...
SHI Lin-shan, MA Chuang, YANG Yun, JIN Min
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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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On Scalable Attack Detection in the Network [PDF]
IEEE/ACM Transactions on Networking, 2004 Current intrusion detection and prevention systems seek to detect a wide class of network intrusions (e.g., DoS attacks, worms, port scans)at network vantage points. Unfortunately, all the IDS systems we know of keep per-connection or per-flow state.
Ramana Rao Kompella +2 more
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DDoS Attack Detection Based on DBN in SDN Environment [PDF]
Jisuanji gongcheng, 2020 The main security threats to Software Defined Network(SDN),a new type of network architecture,are from DDoS attacks.Hence,theestablishment of an efficient DDoS attack detection system is importantt to network security management.In the SDN environment ...
ZHU Jing, WU Zhongdong, DING Longbin, WANG Yang
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On the difficulty of scalably detecting network attacks [PDF]
Proceedings of the 11th ACM conference on Computer and communications security, 2004 Most network intrusion tools (e.g., Bro) use per-flow state to reassemble TCP connections and fragments in order to detect network attacks (e.g., SYN Flooding or Connection Hijacking) and preliminary reconnaissance (e.g., Port Scans). On the other hand, if network intrusion detection is to be implemented at high speeds at network vantage points, some ...
Kirill Levchenko +2 more
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Attack Pattern Analysis Framework for a Multiagent Intrusion Detection System [PDF]
International Journal of Computational Intelligence Systems, 2008 The paper proposes the use of attack pattern ontology and formal framework for network traffic anomalies detection within a distributed multi-agent Intrusion Detection System architecture.
Grzegorz Kolaczek, Krzysztof Juszczyszyn
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Detection and Defense Mechanism of LDoS Attack in SDN Environment
Jisuanji kexue yu tansuo, 2020 Low-rate denial of service (LDoS) attack is a new type of network attack, which is characterized by low attack cost and strong concealment. As a new type of network architecture, software defined network (SDN) is also threatened by LDoS attacks.
YAN Tong, BAI Zhihua, GAO Zhen, YAN Lina, ZHOU Lei
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