Modelling User Behaviour for Detecting Application Layer Distributed Denial of Service (DDoS) Attacks

Seminar talk titled Modelling User Behaviour for Detecting Application Layer Distributed Denial of Service (DDoS) Attacks

Title Of the Talk: Modelling User Behaviour for Detecting Application Layer Distributed Denial of Service (DDoS) Attacks
Speaker: Amit Praseed
Host Faculty: Dr. Praveen T
Date &Time: Tuesday, 01st June 2021 12:00 - 13:30 Hrs

Abstract:

Application Layer Distributed Denial of Service (ALDDoS) attacks are one of the major challenges faced by web applications and cloud servers alike. These attacks can be executed with relatively few attack requests, and are capable of bypassing existing firewalls and DDoS detection mechanisms which rely on rate limiting techniques for attack detection and mitigation. Asymmetric DDoS attacks, which use computationally intensive search queries for launching attacks, further exacerbate this challenge. Existing detection mechanisms for ALDDoS attacks tend to use complex models and computationally intensive algorithms which make them inefficient for use in real-time. In this talk, I will discuss a method for representing the behavioral dynamics of web users using a probabilistic automata. I will also discuss how this model can be coupled with an efficient scoring mechanism to identify ALDDoS traffic.

Speaker Profile:

Amit Praseed is currently working as an Assistant Professor at the Indian Institute of Information Technology (IIIT) Sri City, Chittoor. He completed his Ph.D. from the National Institute of Technology (NIT) Karnataka, Surathkal in 2020. His thesis explored a more efficient approach for the detection of denial of service attacks at the application layer. His primary area of research is web security, with a specific focus on detecting and mitigating attacks against web applications. His research interests also include other areas related to web security and privacy such as fake news detection.

Date:
Tuesday, 01st June 2021 12:00 - 13:30 Hrs