An Implementation of Intrusion Detection System Using Genetic Algorithm

Hoque, Mohammad Sazzadul; Mukit, Md. Abdul; Bikas, Md. Abu Naser

doi:10.5121/ijnsa.2012.4208

Cited by 130 publications

(33 citation statements)

References 13 publications

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“…Some of the resulted models are based on genetic algorithms [14,15,16], while others are based on data mining [17,18,19]. Despite the popularity of these techniques, the proposed solutions are far from meeting the target as long as the information security is concerned.…”

Section: Related Workmentioning

confidence: 99%

A Formal Framework for Intrusion Detection within an Information System based on Workflow Audit

Roger¹,

Georges²,

Nicolas³

et al. 2013

IJCA

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Nowadays information systems are very critical and important as their various users are distributed around the world. The role played by the information system in the evolution of the society has led to a new form of economy, the leaders in this economy are those who will be able to master their information system in terms of security issues. Based on the quality of data managed in the information system for decision making, the security issue becomes more and more crucial. Among the challenges that are faced in the information system, it appears that the intrusion detection problem is the major challenge that needs to be discussed first as all attacks start with the intrusion which precedes various malicious activities. Many works had been done in this domain but the intrusion detection problem is still an open research topic in computer science. In this paper, the described problem is considered as an engineering one. The approach used in this research is based on the workflow theory which allows carrying out an efficient identification in different activities that are able to be performed. The defined approach is focused on a formal and sound description of resources that participate in the execution of identified activities. The result of this paper is the definition of a formal framework for intrusion detection based on workflow execution analysis.

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Section: Related Workmentioning

confidence: 99%

A Formal Framework for Intrusion Detection within an Information System based on Workflow Audit

Roger¹,

Georges²,

Nicolas³

et al. 2013

IJCA

View full text Add to dashboard Cite

show abstract

“…Due to the large volumes of security audit data as well as the complex and dynamic properties of intrusion behaviors, several machine learning based intrusion detection techniques have been applied to network-based traffic data and host-based data in the last decades. [10].…”

Section: Related Workmentioning

confidence: 99%

Implementation of Intelligent Multi-Layer Intrusion Detection Systems (IMLIDS)

Badr¹

2013

IJCA

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Intrusion Detection System (IDS) has increasingly become a crucial issue for computer and network systems. Optimizing performance of IDS becomes an important open problem which receives more and more attention from the research community.This paper, design and develop a proposed multi-layer intrusion detection model to achieve high efficiency and improve the detection and classification rate accuracy. Also the proposed model was improved the detection rate for known and unknown attacks by training the hybrid model on the known intrusion data. Then the model applied for unknown attacks by introducing new types of attacks that are never seen by the training module.The experimental results showed that the proposed multi-layer model using C5 decision tree achieves higher classification rate accuracy, and less false alarm rate.

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“…To implement and measure the performance of our system we used the KDD99 benchmark datasets and obtained reasonable detection rate. [14].…”

Section: Related Workmentioning

confidence: 99%

Use of Genetic Algorithm in Network Security

Lobo¹,

Chavan²

2012

IJCA

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After overcoming some drawbacks from an improved genetic feedback algorithm based network security policy framework. A motivation was experienced for the need of a strong network security policy framework. In this paper a strong network model for security function is presented. A gene for a network packet is defined through fitness function and a method to calculate fitness function is explained. The basic attacks encountered can be categorized as buffer overflow, array index out of bound, etc. A stress is given on passive attack, active attack, its types and brute force attack. An analysis on recent attacks and security is provided. Finally the best policy using a comparator is found. The main aim of this paper is threat detection, time optimization, performance increase in terms of accuracy and policy automation. For experimenting real data set from the internet and local network is used. Jpcap, winpcap, Colasoft Capsa 7 open source software are used for implementation. 73% efficiency is achieved because we add 3 networking terms such as payload, checksum, and sequence number. A client server environment is made use of. General TermsGenetic algorithm, Network security, Crossover technique.

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An Implementation of Intrusion Detection System Using Genetic Algorithm

Cited by 130 publications

References 13 publications

A Formal Framework for Intrusion Detection within an Information System based on Workflow Audit

A Formal Framework for Intrusion Detection within an Information System based on Workflow Audit

Implementation of Intelligent Multi-Layer Intrusion Detection Systems (IMLIDS)

Use of Genetic Algorithm in Network Security

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