An On-line DDoS Attack Traceback and Mitigation System Based on Network Performance Monitoring

Su, Wei-Tsung; Lin, Tzu‐Chieh; Hsu, Jang-Pong; Kuo, Yau‐Hwang

doi:10.1109/icact.2008.4494041

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…The intermediate respectively routers forward requests to further upstream intermediate routers to find the source of the flow. Furthermore, Su, Wu, Hsu, and Kuo [31], on the basis of the performance of the network introduced a traceback and mitigation method. The author claims that this is based on the monitoring packet loss and even the rate at which packets arrive.…”

Section: Entropy Based Mechanismsmentioning

confidence: 99%

Edge Based Network Attack Detection Using Pulsar

Dash¹

2020

IJISRT

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The edge-based network attacks are increasing largely in size, scale and frequency with the booming internet. The Distributed Denial of Service (DDoS) attacks is one of the most diffused types of attacks in the cyberworld which is a great concern for all organizations today. There were 5.2 billion Google searches in the year 2017 alone. Research shows that there cannot be a better example to show how prevalent internet use is nowadays. What started off as a point to point conversation in 1970s as a mode of communication has expanded to millions and millions of devices communicating with each other via some or the other form of the web. And therefore, this research focuses on the strategic approach that has been taken to defend from the growing cyber threat. In this dissertation, the focus is on defending against these edge-based network attacks and collaborating with other neighboring networks in order to communicate with them to transfer information about potentially malicious hosts. This research has focused on exploring ways of integrating the Software Defined Networking with the pub-sub messaging system in order to show a collaborative approach of defense to these attacks. The attacks from unknown multiple sources have also been analyzed in order to cope with them through this robust solution that has been proposed and implemented in this dissertation.

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Section: Entropy Based Mechanismsmentioning

confidence: 99%

Edge Based Network Attack Detection Using Pulsar

Dash¹

2020

IJISRT

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“…are proposed to trace the DDoS attack sources based on network performance monitoring [14]. A packet filter controller which adapts to queue length is proposed to mitigate the DDoS attack in this paper.…”

Section: Ddos Attack Traceback and Mitigation System (Datms)mentioning

confidence: 99%

Towards DoS attack prevention based on clustering architecture in mobile IP communication

Parvin

Ali

Singh

et al. 2009

2009 35th Annual Conference of IEEE Industrial Electronics

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Mobile IP communication, like wired communication and mobile ad hoc networking, is vulnerable to Denial-of-Service (DoS) attacks. In this paper, we propose using a lightweight packet filtering technique in different domains and base stations to reduce/eliminate the threat of DoS attacks on mobile IP networks. The proposed technique will be able to detect and filter out any suspected packets containing spoofed IP address created by DoS attackers. The results of our experiments indicate that our proposed technique can significantly reduce the effect of DoS attacks and improves performance of mobile IP communication. I.

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