TITLE:
Hadoop Based Defense Solution to Handle Distributed Denial of Service (DDoS) Attacks
AUTHORS:
Shweta Tripathi, Brij Gupta, Ammar Almomani, Anupama Mishra, Suresh Veluru
KEYWORDS:
DDoS; DoS; Defense Mechanism; Characteristics; Hadoop; MapReduce
JOURNAL NAME:
Journal of Information Security,
Vol.4 No.3,
July
16,
2013
ABSTRACT:
Distributed denial of service (DDoS) attacks continues to grow as a
threat to organizations worldwide. From the first known attack in 1999 to the
highly publicized Operation Ababil, the DDoS attacks have a history of flooding
the victim network with an enormous number of packets, hence exhausting the
resources and preventing the legitimate users to access them. After having
standard DDoS defense mechanism, still attackers are able to launch an attack.
These inadequate defense mechanisms need to be improved and integrated with
other solutions. The purpose of this paper is to study the characteristics of
DDoS attacks, various models involved in attacks and to provide a timeline of defense
mechanism with their improvements to combat DDoS attacks. In addition to this,
a novel scheme is proposed to detect DDoS attack efficiently by using MapReduce
programming model.