Comparison of Two Sampling-Based Data Collection Mechanisms for Intrusion Detection System
نویسندگان
چکیده
Data collection mechanism is a crucial factor for the performance of intrusion detection system (IDS). Simple random sampling and Stratified random sampling techniques of statistics are introduced to the procedure of data collection for IDS, and formulas used to calculate the sample size of packets based on these sampling techniques are presented. The implementation of packets sampling is provided, and efficiencies of these data collection mechanisms for IDS are compared in this paper. Experimental results show these two mechanisms both can improve the efficiency of data collection and strengthen the processing performance of IDS, while stratified random sampling technique performs better especially in the largescale high-speed network.
منابع مشابه
A hybrid approach for database intrusion detection at transaction and inter-transaction levels
Nowadays, information plays an important role in organizations. Sensitive information is often stored in databases. Traditional mechanisms such as encryption, access control, and authentication cannot provide a high level of confidence. Therefore, the existence of Intrusion Detection Systems in databases is necessary. In this paper, we propose an intrusion detection system for detecting attacks...
متن کاملA hybridization of evolutionary fuzzy systems and ant Colony optimization for intrusion detection
A hybrid approach for intrusion detection in computer networks is presented in this paper. The proposed approach combines an evolutionary-based fuzzy system with an Ant Colony Optimization procedure to generate high-quality fuzzy-classification rules. We applied our hybrid learning approach to network security and validated it using the DARPA KDD-Cup99 benchmark data set. The results indicate t...
متن کاملSecuring Cluster-heads in Wireless Sensor Networks by a Hybrid Intrusion Detection System Based on Data Mining
Cluster-based Wireless Sensor Network (CWSN) is a kind of WSNs that because of avoiding long distance communications, preserve the energy of nodes and so is attractive for related applications. The criticality of most applications of WSNs and also their unattended nature, makes sensor nodes often susceptible to many types of attacks. Based on this fact, it is clear that cluster heads (CHs) are ...
متن کاملOverview of Intrusion Detection Techniques in Database
Data is one of the most valuable assets in today's world and is used in the everyday life of every person and organization. This data stores in a database in order to restore and maintain its efficiently. Since there is a database that can be exploited by SQL injection attacks, internal threats, and unknown threats, there are always concerns about the loss or alteration of data by unauthorized ...
متن کاملIntrusion Detection based on a Novel Hybrid Learning Approach
Information security and Intrusion Detection System (IDS) plays a critical role in the Internet. IDS is an essential tool for detecting different kinds of attacks in a network and maintaining data integrity, confidentiality and system availability against possible threats. In this paper, a hybrid approach towards achieving high performance is proposed. In fact, the important goal of this paper ...
متن کامل