An exhaustive study of DDOS attacks and DDOS datasets. (10th April 2020)

• Record Type: Journal Article
• Authors: Nehinbe, Joshua Ojo; Onyeabor, Uchechukwu Solomon
• Is Part Of: International journal of internet technology and secured transactions. Volume 10:Number 3(2020)
• Page Start: 268
• Page End: 285
• Publication Date: 2020-04-10
• Subjects: distributed denial of service -- DDOS -- intrusion -- intrusion detection system -- IDS -- intrusion prevention system -- IPS -- datasets; Internet -- Security measures -- Periodicals; Computer security -- Periodicals; Information systems management -- Security measures -- Periodicals; Computer networks -- Security measures -- Periodicals; Information technology -- Security measures -- Periodicals; 005.805
• Languages: English
• ISSNs: 1748-569X

Abstract

Conceptually, frequent distributed denial of service (DDOS) attacks on corporate networks constitute serious challenges that demand urgent explanations. Consequently, several organisations have lost long-standing reputations, suffered huge financial losses and low patronages due to DDOS attacks. Now the strengths and weaknesses of the available DDOS traces are not recently discussed in contemporary literatures. Therefore, feelers have begun to question the resolute and validity of the existing models despite the fact that they were duly evaluated using some standard DDOS datasets. This paper discusses DDOS attacks rudiments and elaborately explicates some of the challenges associated with DDOS datasets. We use C++ programming language to empirically demonstrate potential datasets that researchers can adopt to investigate DDOS attacks. The results suggest that researchers can secure informative DDOS datasets by merging different DDOS datasets. The outcome would help investigators, analysts, data donors and litigators to determine and enforce of legal rights against intruders.