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10 maj 2022 · Hybrid intelligent systems have been developed to solve the challenges of the existing intrusion detection systems, such as high rate of false-positive alerts and low detection rate of novel attacks. Hybrid is a technique that combines misuse-based and anomaly-based techniques [5].
18 lut 2020 · An intrusion detection system, IDS for short, monitors network and system traffic for any suspicious activity. Once any potential threats have been identified, intrusion detection software sends notifications to alert you to them.
17 sty 2023 · Due to this, the development of an effective and intelligent ID system is of the utmost importance. In this study, a hybrid ID framework based on Deep Learning is created using a convolutional recurrent neural network (CRNN) that detects hostile network attacks.
6 sty 2024 · In this paper, we conducted a chronological systematic review of hybrid intrusion detection systems covering all domains.
17 lip 2019 · Chao Shen et al. proposed Hybrid-Augmented device fingerprinting for IDS in Industrial Control System Networks. They used different machine learning techniques to analyse network packets to filter anomaly traffic to detect in the intrusions in ICS networks (Shen et al., 2018 ).
An Intrusion Detection System (IDS) is a network security technology originally built for detecting vulnerability exploits against a target application or computer. The IDS is also a listen-only device. The IDS monitors traffic and reports results to an administrator.
4 wrz 2023 · To optimize the detection performance of malicious activities in network traffic, four hybrid intrusion detection systems for satellite-terrestrial communication systems (SAT-IDSs) are proposed in this paper.
