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 ...

Using a layered approach to network security that won’t overwhelm you with false alerts takes strategic planning. Here are some steps to follow for the best results. 1. Know your network. Gather as ...

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 ...

A robust intrusion prevention system (IPS) is crucial for enhancing cybersecurity. Built to detect and block potential threats actively, an IPS responds before harm can be caused to a system or the ...

Sources of information When determining if an intrusion has occurred, sources of information such as incoming packets or data are considered. Characterization The required method determines when the ...

With the advent of IoT and its immense possibilities through cloud randomization, connectivity has matured almost out of proportion; yet this factor has equally opened various attack surfaces thereby ...

Signatures and rules are the bulwark of traditional intrusion detection systems (IDS), however they are also a significant source of frustration. Most IDS systems are known for being noisy, generating ...

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 ...