Anomaly Based IDS Using Variable Size Detector Generation in AIS: A Hybrid Approach
نویسندگان
چکیده
منابع مشابه
An Overview of IDS Using Anomaly Detection
Intrusion detection is the process of monitoring and analyzing the events occurring in a computer system in order to detect signs of security problems. The problem of intrusion detection can be solved using anomaly detection techniques. For instance, one is given a set of connection data belonging to different classes (normal activity, different attacks) and the aim is to construct a classifier...
متن کاملAn enhanced Hybrid Anomaly-based Detection Approach
During the last decade, Intrusion Detection Systems (IDSs) have played an important role in defending critical computer systems and networks from cyber-attacks. Anomaly detection techniques have received a particularly great amount of attention because they offer intrinsic ability to detect unknown attacks. In this paper, we propose an enhanced hybrid anomaly detection approach based on negativ...
متن کاملA Novel Signal-Based Approach to Anomaly Detection in IDS Systems
In this paper we present our original methodology, in which Matching Pursuit is used for networks anomaly and intrusion detection. The architecture of anomaly-based IDS based on signal processing is presented. We propose to use mean projection of the reconstructed network signal to determine if the examined trace is normal or attacked. Experimental results confirm the efficiency of our method i...
متن کاملA Cross-Layer, Anomaly-Based IDS for WSN and MANET
Intrusion detection system (IDS) design for mobile adhoc networks (MANET) is a crucial component for maintaining the integrity of the network. The need for rapid deployment of IDS capability with minimal data availability for training and testing is an important requirement of such systems, especially for MANETs deployed in highly dynamic scenarios, such as battlefields. This work proposes a tw...
متن کاملA hybrid approach for efficient anomaly detection using metaheuristic methods
Network intrusion detection based on anomaly detection techniques has a significant role in protecting networks and systems against harmful activities. Different metaheuristic techniques have been used for anomaly detector generation. Yet, reported literature has not studied the use of the multi-start metaheuristic method for detector generation. This paper proposes a hybrid approach for anomal...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Machine Learning and Computing
سال: 2012
ISSN: 2010-3700
DOI: 10.7763/ijmlc.2012.v2.113