International Journal Of Imaging

Abstract

Dark-TRACER : Early Detection Framework for Malware Activity Based on Anomalous Spatiotemporal Patterns

Author: Ms. Ch. Sandhya, A. Akhila, Ch.Sharan, E.Nikitha, M.Nithin

Abstract:

As cyberattacks become increasingly prevalent globally, there is a need to identify trends in these cyberattacks and take suitable countermeasures quickly. The darknet, an unused IP address space, is relatively conducive to observing and analyzing indiscriminate cyberattacks because of the absence of legitimate communication. Indiscriminate scanning activities by malware to spread their infections often show similar spatiotemporal patterns, and such trends are also observed on the darknet. To address the problem of early detection of malware activities, we focus on anomalous synchronization of spatiotemporal patterns observed in darknet traffic data. Our previous studies proposed algorithms that automatically estimate and detect anomalous spatiotemporal patterns of darknet traffic in real time by employing three independent machine learning methods. In this study, we integrated the previously proposed methods into a single framework, which we refer to as Dark-TRACER, and condu