Researchers report a lightweight, imbalance-aware intrusion detection system achieving up to 0.9998 accuracy on IoT and medical IoT benchmark datasets.

IDS, an intrusion detection framework that pairs a Concrete Autoencoder-based feature selection mechanism with Bayesian ...

Selection, placement and maintenance of intrusion detection systems (IDS) are based on the requirements and current infrastructure of a company. One product may work well for one company and fail for ...

Intrusion detection technology presents a confusing array of acronyms, abstract concepts, and hazy deliverables. This exacerbates the difficult situation for executives who are asked to pay for these ...

An international reserch team developed two deep learning-based IDS models to enhance cybersecurity in SCADA systems. The hybrid approach reportedly improves detection of complex and novel cyber ...

Because of large revenue pools, cybersecurity experts recognize trucking as one of the most cyberattacked industries of today. Intrusion detection systems (IDS) are designed to protect you from ...

An intrusion prevention system (IPS) is a cybersecurity tool that examines network traffic to identify potential threats and automatically take action against them. An IPS might, for example, ...

Security advances push intrusion detection deeper into the network, relegating its role to forensics investigation and internal monitoring. Drowning in signature libraries and reactive event ...

New platforms and software deliver high-performance, pervasive protection supporting overall e-business resilience SAN JOSE, Calif., May 6, 2002 - Cisco Systems, the leader in networking for the ...

It's two years since the IEEE ratified 802.11i, slightly less since the Wi-Fi Alliance introduced the WPA2 certification. And still, insecurity over security is hindering wireless LAN ...