Αποτελέσματα Αναζήτησης
10 Μαΐ 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].
Intrusion detection systems (IDS) are designed to detect specific issues, and are categorized as signature-based (SIDS) or anomaly-based (AIDS). IDS can be software or hardware. How do SIDS and AIDS detect malicious activity? What is the difference between the two? What are the four IDS evasion techniques discussed, and how do they evade an IDS?
Security has many layers and components, one of them is the monitoring and reporting component, and part of this are the intrusion detection systems (IDS). The paper is presenting an architecture of an open-source, modular, hybrid IDS system which is combining the advantages of both host and network IDS. 1. Introduction.
13 Μαρ 2021 · 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...
Hybrid learning approach achieved much reduced false alarm rate with an average below than 0.5%, while keeping the accuracy and the detection rate on average higher than 99%. This approach can classify all data correctly except for attack type U2R and R2L. HIDS is used to detect intrusion by CH of CWSN [2].
4 Μαρ 2021 · IDS typically uses one of two approaches: anomaly-based or signature-based. This paper proposes a model (known as “AS-IDS”) that combines these two approaches to detect known and unknown attacks in IoT networks. The proposed model has three phases: traffic filtering, preprocessing and the hybrid IDS.
1 Μαΐ 2009 · In this paper we propose a hybrid IDS by combining the two approaches in one system. The hybrid IDS is obtained by combining packet header anomaly detection (PHAD) and network traffic anomaly detection (NETAD) which are anomaly-based IDSs with the misuse-based IDS Snort which is an open-source project.
