A Survey on Big Data and DDoS Attack

Abstract

Big data is the term for any collection of datasets so large and complex that it becomes difficult to process using traditional data processing applications. Everything now a day’s become electronic and connected to internet to transmit and store data. That is way rate of data flow over the internet has been increased. The volume, velocity and verity (3v’s) of data flow has introduced the new term called Big Data. Later on 2v’s (value and veracity) are added by IBM and Oracle in Big data’s definition. The technologies used by bigdata applications to handle the massive data are Hadoop, Map Reduce, and Apache Hiver. Most of companies adopted and shifted their business to Bigdata (Hadoop), But still some companies like Govt. organization and other security firms are hesitating to shift on it due to its security logs.

          This research work is about availability threats like Distributed Denial of Service (DDoS) attacks. Security in this world of digital computing plays a typical role. Since all the operations are automated and large volumes of data are being maintained in the servers. We observe that there are significant differences in the histogram under different scenarios, so that attack detection based on packet attribute analysis will be effective.