Network anomaly detection is an important and dynamic research area. Many Network Intrusion Detection methods and Systems (NIDS) have been proposed in the literature. In this paper, the authors ...
In this paper, a few methods for anomaly detection in computer networks with the use of time series methods are proposed. The special interest was put on Brown’s exponential smoothing, seasonal ...
Businesses and organizations are under heavier fire than usual from cyberattacks, with 57% of CIOs and CISOs reporting at least one significant cybersecurity incident at their companies. Whether the ...
According to a new market research report "Anomaly Detection Market by Solution (Network and User Behavior Anomaly Detection), Technology (Big Data Analytics, Data Mining and Business Intelligence, ...
Enterprise networks are experiencing massive change, with cloud, IoT, and mobility, causing legacy perimeters to transition from private networks, to borderless infrastructures. Meanwhile, adversaries ...
PALO ALTO, Calif.--(BUSINESS WIRE)--LiveAction, a leader in end-to-end visibility for network security and performance, today announced the release of ThreatEye NV. A network detection and response ...
Network behavior anomaly detection does not provide a true security solution against viruses and worms. With the growing sophistication, speed and damage potential of today’s virus and worm attacks, ...
SAN JOSE, Calif., March 22, 2023 /PRNewswire/ -- Vectra AI, the leader in AI-driven hybrid cloud threat detection and response, today announced the introduction of Vectra Match. Vectra Match brings ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results