A Novel DDOS Attack Detection and Prevention Using DSA-DPI Method

Abstract

In the current Internet world, connection of computers, IoT devices, and mobile devices together becomes common activity. Because of the enormous advantages available with the Internet, many applications are connected to it even without the proper authentication from the user end. The same activity happens at the public network also enable the user device get hacked by the third-party attack holders. Distributed denial of service (DDoS) attacks act as the one of the common malfunctions happen in the systems. Detection of such attack and defending mechanism against it is much more important. Software defines networks have the facility to configure the network platforms with the preventive measures from the DDoS attacks. It is mandatory to design a preventive system for DDoS attacks and developing an analysis module to test the pattern of activity happens during the attack is important. The proposed system is focused on implementing such module that detects and prevents the DDoS attacks over the Internet. DDoS is the type of attack that overloads the firewall by unwanted malware scripts. The system provides the robust preventing mechanism called digital signature algorithm (DSA) collaborated with deep packet inspection (DPI), together called as DSA-DPI model to prevent the DDoS attacks. Our proposed design provides preventive alters on infrastructure before the malware attack get happens.