Design and analysis of hybrid single packet IP traceback scheme. Issue 3 (1st May 2018)

• Record Type: Journal Article
• Authors: Murugesan, Vijayalakshmi; Shalinie, Mercy; Yang, Ming‐Hour
• Is Part Of: IET networks. Volume 7:Issue 3(2018)
• Page Start: 141
• Page End: 151
• Publication Date: 2018-05-01
• Subjects: IP networks -- security of data; hybrid single packet IP traceback scheme -- cyber threats -- cybercrime -- IP addresses -- CAIDA topology dataset; Computer network architectures -- Periodicals; Computer network protocols -- Periodicals; Information networks -- Periodicals; Telecommunication systems -- Periodicals; 004.605
• DOI: 10.1049/iet-net.2017.0115
• Languages: English
• ISSNs: 2047-4954

Abstract

Abstract : Although cybercrime and cyber threats are increasing significantly, yet prevention and security of the critical infrastructure are still far from perfect. The internet has no protection against malicious packet modifications. Attackers exploit such vulnerabilities to forge the source IP addresses while instigating an attack. Consequently, investigating cybercrime is becoming extremely difficult. The best antidote would be to weed out the problem at its root by identifying the source of the attack. The objective of this study is to propose an IP traceback scheme that can identify the origin of an attack with a single packet with minimum computational and storage overhead while ensuring a high degree of accuracy. Compared to the state‐of‐the‐art single packet IP traceback technique, the proposed scheme entails lesser computation overhead. According to CAIDA topology dataset, it requires only 320 kB of storage on each router. Storage requirement is several thousand times lesser than the pioneer single packet traceback scheme and 6.25 times lesser than the state‐of‐the‐art traceback scheme. It has the better endurance to the change in topology compared with the state‐of‐the‐art schemes. It identifies the attack node with high accuracy and minimal false positive. The obtained result has been validated to demonstrate its statistical significance.