Hybrid approaches for improving cybersecurity and network intrusion system
Abstract
Protecting critical infrastructure from cyberattacks has become an urgent global concern. The difficulty of providing sufficient security for the computer system is made more pressing by the increasing frequency with which cyberattacks are being launched. Intrusion detection systems (IDSs) are crucial for efficient network management and upkeep. Many researchers in the field of information safety are watching for deep learning and machine-learning techniques to develop effective IDSs. These IDSs can swiftly and mechanically identify malicious threats. Every network, regardless of its size, is susceptible to hacking. To safeguard one’s network ...
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