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On May 12th, 2017, organizations across the world were attacked by a new, fast-spreading piece of malware we now know as WannaCry. It is now considered one of the most widespread, and notoriously destructive malware attacks in history, halted only by a researcher getting a lucky break, registering a domain name embedded in the malware that unexpectedly acted as a kill switch. But even today, more than two years hence, WannaCry continues to affect thousands of computers worldwide.
Cybersecurity threats have been growing significantly in both volume and sophistication over the past decade. This poses great challenges to malware detection without considerable automation. In this paper, we have proposed a novel approach by extending our recently suggested artificial neural network (ANN)- based model with feature selection using the principal component analysis (PCA) technique for malware detection.
標的型攻撃を積極的に仕掛けるサイバー攻撃の増加傾向が目立っています。「Matrix」は、このような手法を用いる最新のマルウェアです。本書では、拡散していないものの継続的に開発されている、このランサムウェア脅威について、SophosLabs が掘り下げて解説しています。