Fujitsu AI increases accuracy of malware intrusion detection

said braka 7:30 AM
Fujitsu Laboratories has now developed  that

learns from various characteristics, including time series log data, and from the relationships between those characteristics. With this technology, Fujitsu Laboratories succeeded in training its AI to recognize the relationships between the types and numbers of the various activities of  that has invaded an organization, as well as factors such as the spacing between these activities and their sequence, grasping the characteristics of malware. Using data provided by MWS2017, Fujitsu Laboratories tested this technology's ability to differentiate between day-to-day network communications and , and confirmed that by learning the numerous traces left by malware which change over time, it could detect malware with 93% accuracy.
Fujitsu Laboratories aims to commercialize this technology during fiscal 2017 as part of Fujitsu's AI technology, Fujitsu Human Centric AI Zinrai, aiming for fields outside cybersecurity, such as marketing using records of the activities of people over time. In addition, malware intrusion detection technology that utilizes this newly developed technology will be combined with previously developed cyberattack analysis technology to form a countermeasure support technology, which will be trialed internally during fiscal 2018. Details of this technology will be announced at the Anti Malware Engineering Workshop 2017 (MWS2017), to be held in Yamagata, Japan on October 23-25.


Read more at: https://phys.org/news/2017-10-fujitsu-ai-accuracy-malware-intrusion.html#jCp