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Detecting SYN flooding attacks
Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies, 2003We propose a simple and robust mechanism for detecting SYN flooding attacks. Instead of monitoring the ongoing traffic at the front end (like firewall or proxy) or a victim server itself, we detect the SYN flooding attacks at leaf routers that connect end hosts to the Internet. The simplicity of our detection mechanism lies in its statelessness and low
Haining Wang 0001 +2 more
openaire +2 more sources
Detecting DNS Amplification Attacks
2008DNS amplification attacks massively exploit open recursive DNS servers mainly for performing bandwidth consumption DDoS attacks. The amplification effect lies in the fact that DNS response messages may be substantially larger than DNS query messages. In this paper, we present and evaluate a novel and practical method that is able to distinguish between
Georgios Kambourakis +3 more
openaire +1 more source
Cyber attack estimation and detection for cyber-physical power systems
Applied Mathematics and Computation, 2021Jian Li
exaly
Detection, estimation, and compensation of false data injection attack for UAVs
Information Sciences, 2021Kexin Guo, Xiang Yu, Jianzhong Qiao
exaly
Effective and Efficient DDoS Attack Detection Using Deep Learning Algorithm, Multi-Layer Perceptron
Future Internet, 2023Hana Mujlid +2 more
exaly
Sparse Actuator Attack Detection and Identification: A Data-Driven Approach
IEEE Transactions on Cybernetics, 2023Yunsong Xu, Yuzhe Li, Yu Zhao
exaly
Brief Survey on Attack Detection Methods for Cyber-Physical Systems
IEEE Systems Journal, 2020Josep M Guerrero, Juan C Vásquez
exaly
Review on the application of deep learning in network attack detection
Journal of Network and Computer Applications, 2023Xingshu Chen
exaly
Optimized cyber-attack detection method of power systems using sliding mode observer
Electric Power Systems Research, 2022M J Yazdanpanah +2 more
exaly

