Bio
K Munivara Prasad is a dedicated researcher and academician based in India, with a strong focus on computer networks and security. He has contributed to the field through several notable publications, including works on flooding attacks, DoS and DDoS defense mechanisms, and bio-inspired anomaly detection for web application attacks. His research interests span across network security, performance analysis, and information systems. With a background that includes B.Tech, ME, and Ph.D. qualifications, he has been affiliated with institutions such as Rayalaseema University, Kurnool, JNTUH, and Sree Vidyanikethan Engineering College. He has also served as a reviewer for the Global Journal of Computer Science and Technology (GJCST), reflecting his expertise and commitment to advancing knowledge in his domain.
Experience
Sree Vidyanikethan Engineering College
0 - 0Research
DoS and DDoS Attacks: Defense, Detection and Traceback Mechanisms – A Survey
Denial of Service (DoS) or Distributed Denial of Service (DDoS) attacks are typically explicit attempts to exhaust victim’s bandwidth or disrupt legitimate users’ access to services. Traditional architecture of internet is vulnerable to DDoS attacks and it provides an opportunity to an attacker to gain access to a large number of compromised computers by exploiting their vulnerabilities to set up attack networks or Botnets. Once attack network or Botnet has been set up, an attacker invokes a large-scale, coordinated attack against one or more targets. Asa result of the continuous evolution of new attacks and ever-increasing range of vulnerable hosts on the internet, many DDoS attack Detection, Prevention and Traceback mechanisms have been proposed, In this paper, we tend to surveyed different types of attacks and techniques of DDoS attacks and their countermeasures. The significance of this paper is that the coverage of many aspects of countering DDoS attacks including detection, defence and mitigation, traceback approaches, open issues and research challenges.
Modeling and Counter Measures of Flooding Attacks to Internet Threat Monitors (ITM): Using Botnet and Group-Testing approach
The Internet Threat Monitoring (ITM),is a globally scoped Internet monitoring system whose goal is to measure, detect, characterize, and track threats such as distribute denial of service(DDoS) attacks and worms. To block the monitoring system in the internet the attackers are targeted the ITM system. In this paper we address flooding attack against ITM system in which the attacker attempt to exhaust the network and ITM’s resources, such as network bandwidth, computing power, or operating system data structures by sending the malicious traffic. We propose an information-theoretic frame work that models the flooding attacks using Botnet on ITM.we propose a novel group testing (GT)-based approach deployed on back-end servers, which not only offers a theoretical method to obtain short detection delay and low false positive/negative rate, but also provides an underlying framework against general network attacks.
