Earticle

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Background
 3. Related Work
  3.1. Entropy Based Approach
 4. Simulation Methodology
  4.1. Performance Metrics
 5. Results and Discussion
  5.1. Outcome
 6. Future Work
 7. Conclusion
 References

키워드

저자

• Raghav Vadehra [ ECE Dept., GNDU, RC, Jalandhar ]
• Manjit Singh [ ECE Dept., GNDU, RC, Jalandhar ]
• Butta Singh [ CSE Dept., GNDU, RC, Jalandhar ]
• Nitika Chowdhary [ CSE Dept., GNDU, RC, Jalandhar ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605