Αποτελέσματα Αναζήτησης
10 Μαΐ 2022 · Hybrid is a technique that combines misuse-based and anomaly-based techniques [5]. The hybrid technique resolves the disadvantages of the two legacy IDSs. Research shows that hybrid detection systems have better performance compared to single IDS.
4 Φεβ 2019 · In this study, a hybrid and layered Intrusion Detection System (IDS) is proposed that uses a combination of different machine learning and feature selection techniques to provide high performance intrusion detection in different attack types.
17 Ιαν 2020 · In this paper, a Hybrid IDS (HIDS) is proposed by combining the C5 decision tree classifier and One Class Support Vector Machine (OC-SVM). HIDS combines the strengths of SIDS) and Anomaly-based Intrusion Detection System (AIDS).
1 Ιουλ 2019 · In this study, a hybrid and layered Intrusion Detection System (IDS) is proposed that uses a combination of different machine learning and feature selection techniques to provide high...
12 Ιαν 2024 · To address this critical need for advanced defense mechanisms, we propose an Ensemble Defense System (EDS). An EDS is a cybersecurity framework aggregating multiple security tools designed to...
21 Φεβ 2023 · With the consideration that different techniques can learn the characteristics of data from different perspectives, in this work, we propose a hybrid IDS that combines an RF and an AE. In particular, the hybrid IDS comprises two steps in the detection phase.
1 Νοε 2020 · In this paper, we propose a hybrid anomaly-based IDS that can be installed at any networked site of the IoE architecture, such as Advanced Metering Infrastructure (AMI), to counteract security attacks.
