Recent research has focused on developing advanced intrusion detection systems (IDS) that leverage deep learning techniques to enhance the security of in-vehicle networks. One notable approach to ...

Network-based intrusion detection involves a network device that looks at company network traffic for suspicious patterns. When suspicious patterns in traffic are noticed, an administrator is ...

The recent CSE-CIC-IDS2018 testbed for intrusion detection is a collaborative project between CSE and CIC. The attacker-network includes 50 terminals while the victim-network is implemented as a Local ...

Data-centric security is an approach to information security that emphasizes protecting the data itself rather than focusing ...

In an article recently published in the journal Electronics, researchers in Germany explored the application of deep learning ...

Generative AI is revolutionizing the field of cybersecurity by providing advanced tools for threat detection, analysis, and ...

The private equity money should help network detection and response firm ExtraHop extend the power of its platform to consolidate adjacent markets like intrusion detection, network forensics ...