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      • Impact Evaluation of Distributed Denial of Service Attacks using NS2

        Raghav Vadehra,Nitika Chowdhary,Jyoteesh Malhotra 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.8

        Distributed Denial of Service (DDoS) attacks has been a prominent threat to the Internet community. The attack effect is recognized by large number of client base due to the dependency of majority users on World Wide Web. In such an attack, the attacker targets a machine or a server to thwart its services to the intended users. These attacks are majorly motivated by the presence of multiple groups of hackers present on the Internet. As the research has progressed in this field, researchers have encountered a lot many ways through which attacks have been successful launched. In early years of its birth, the Internet was not designed keeping in mind various possible security aspects thus it lacked this immunity in present day. This paper covers the advent of the DDoS attacks along-with their types. We have also designed certain simulation scenarios based on flooding based DDoS attacks to measure its impact on legitimate users. A discussion on the present solutions to combat such attack situations concludes our work.

      • Evaluation of Flow and Average Entropy Based Detection Mecha-nism for DDoS Attacks using NS-2

        Raghav Vadehra,Manjit Singh,Butta Singh,Nitika Chowdhary 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.5

        Distributed Denial of Service (DDoS) attacks has started posing a serious threat to all sorts of businesses, which have used the power of internet to their credit. DDoS attacks have put a big question mark on the capabilities and reliability of the World Wide Web. The use of supreme techniques to combat the DDoS attacks has not been substantial enough to fight the distributed nature of attacks. Hackers have been successful in blocking the services and flooding traffic to servers, in spite of a tight check on the network. Thus, in the view of personal data being present on the web and the threat to global economy worth million dollars, it becomes really important to devise some new techniques that are self-capable enough to capture, trace and nullify the dangers posed by such attacks. This term paper talks about such solutions to combat DDoS attacks. Here, the flow entropy in combination with average entropy technique is used to detect an attack. It highlights how the loop holes of one technique are covered by the other, resulting in a considerable improvisation in the methods of how we deal with these attacks.

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