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Identification and detection of DDoS attack on smart home infrastructure using machine learning models. [PDF]

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Raja TV, Ezziane Z, He J, Ma X, Wali-Zubair Kazaure A.   +4 more
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An Empirical Evaluation of Information Metrics for Low-Rate and High-Rate DDoS Attack Detection

Pattern Recognition Letters, 2015
Abstract Distributed Denial of Service (DDoS) attacks represent a major threat to uninterrupted and efficient Internet service. In this paper, we empirically evaluate several major information metrics, namely, Hartley entropy, Shannon entropy, Renyi’s entropy, generalized entropy, Kullback–Leibler divergence and generalized information distance ...
D K Bhattacharyya
exaly   +3 more sources

Modeling of low-rate DDoS-attacks

Proceedings of the 12th International Conference on Security of Information and Networks, 2019
The paper presents the results of the analysis and simulation study of Denial of Service attacks for a variety of services that store, process and transmit data to the Internet. Focuses on the simulation of low-rate Distributed Denial of Service attacks on the infrastructure of the global dynamic routing Border Gateway Protocol (BGP) and HyperText ...
Yaroslav Tarasov, Ekaterina Pakulova, Oleg Basov   +2 more
openaire   +1 more source

A Study on Low-Rate DDoS Attacks in Real Networks

2013 International Conference on Information Science and Applications (ICISA), 2013
DDoS attacks are becoming more advanced to attack with a small traffic that is difficult to detect. In this paper, we propose two DDoS attacks that send a small traffic. One named SQL Search attack that is modified DoS attack using SQL wildcards. The other named Mass Contents Request attack that request large files.
Jin-Seok Yang, Min-Woo Park, Tai-Myoung Chung   +2 more
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Information metrics for low-rate DDoS attack detection: A comparative evaluation

2014 Seventh International Conference on Contemporary Computing (IC3), 2014
Invasion by Distributed Denial of Service (DDoS) is a serious threat to services offered on the Internet. A low-rate DDoS attack allows legitimate network traffic to pass and consumes low bandwidth. So, detection of this type of attacks is very difficult in high speed networks.
Monowar H. Bhuyan, D. K. Bhattacharyya, Jugal K. Kalita   +2 more
openaire   +1 more source

A TCP-friendly AQM algorithm to mitigate low-rate DDoS attacks

International Journal of Autonomous and Adaptive Communications Systems, 2016
Although the existing robust random early detection RRED algorithm can preserve normal TCP throughput under various low-rate distributed denial-of-service LDDoS attacks, it fails to maintain the fairness among TCP flows and counter large-scale LDDoS attacks or address-spoofing LDDoS attacks.
Jiarun Lin, Changwang Zhang, Zhiping Cai, Qiang Liu 0004, Jianping Yin   +4 more
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Detection of Low-rate DDoS Attack Based on Self-Similarity

2010 Second International Workshop on Education Technology and Computer Science, 2010
Distributed Denial-of-Service (DDos) attack is one of the high threats to the Internet. This paper proposes a measure based on Hurst coefficient to detect DDoS on Low-rate. The result of experiments shows that the measure can detect the DDoS intrusion hided in the normal data traffic in real time.
Zhang Sheng, Zhang Qifei, Pan Xuezeng, Zhu Xuhui   +3 more
openaire   +1 more source