@article{MAKHILLIJSC20149421207,
    title = {UDP Worm Detection in IPv6 Networks Using Entropy Variations},
    journal = {International Journal of Soft Computing},
    volume = {9},
    number = {4},
    pages = {219-225},
    year = {2014},
    issn = {1816-9503},
    doi = {ijscomp.2014.219.225},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2014.219.225},
    author = {D.,P.,S. and},
    keywords = {IPv6,UDP worms,DDoS,entropy,threshold,false positive},
    abstract = {Distributed Denial of Service (DDoS) attacks are one of the 
  most common threats to the internet. However, the unreliable communication is 
  made through Routing System that formulates to trace the source of these attacks 
  makes very tough. In IPv6, finding worms in UDP is not an easier task. Researchers 
  propose a UDP worm detection technique in IPv6 which basically uses the entropy 
  variations between regular flow and DDoS attacks. This is primarily different 
  from commonly used packet evaluation techniques. In comparison to the existing 
  DDoS entropy techniques, the proposed approach obtain a number of advantages 
  it specially handles the UDP communication traffic, efficiently scalable, strong 
  and not in favour of packet attack and free from attack traffic prototype. The 
  investigational and model results are obtained to express the value and competence 
  of the proposed method.}
    }