An Enhanced Associative Ant Colony Optimization Technique-based Intrusion Detection System

2014 ◽  
pp. 541-553
Author(s):  
Chetan Gupta ◽  
Amit Sinhal ◽  
Rachana Kamble
Keyword(s):  
Intrusion Detection ◽  
Ant Colony Optimization ◽  
Intrusion Detection System ◽  
Detection System ◽  
Optimization Technique ◽  
Ant Colony

scholarly journals A Novel Optimization Algorithm Based on Stinging Behavior of Bee

2018 ◽  
Vol 7 (4) ◽  
pp. 153
Author(s):  
S. Jayalakshmi ◽  
R. Aswini
Keyword(s):  
Intrusion Detection ◽  
Honey Bee ◽  
Optimization Algorithm ◽  
Intrusion Detection System ◽  
Detection System ◽  
Optimization Technique ◽  
Optimal Solution ◽  
Biological Behavior ◽  
New Host ◽  
Stinging Behavior

<span lang="EN-US">Optimization algorithms are search methods to find an optimal solution to a problem with a set of constraints. Bio-Inspired Algorithms (BIAs) are based on biological behavior to solve a real world problem. BIA with optimization technique is to improve the overall performance of BIA. The aim of this paper is to introduce a novel optimization algorithm which is inspired by natural stinging behavior of honey bee to find the optimal solution. This algorithm performs both monitor and sting if any occurrence of predators. By applying a novel optimization algorithm based on stinging behavior of bee, used to solve the intrusion detection problems. In this paper, a new host intrusion detection system based on novel optimization algorithm has been proposed and implemented. The performance of the proposed Anomaly-based Host Intrusion Detection System (A-HIDS) using a novel optimization algorithm based on stinging behavior of bee has been tested. In this paper, after an explanation of the natural stinging behavior of honey bee, a novel optimization algorithm and A-HIDS are described and implemented. The results show that the novel optimization algorithm offers some advantage according to the nature of the problem.</span>

scholarly journals Optimization of Rules for Intrusion Detection System (Org-Ids)

2019 ◽  
Vol 8 (3) ◽  
pp. 1356-1361
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Optimization Technique ◽  
Good Time ◽  
Rule Generation ◽  
Individual System ◽  
High Level ◽  
Memory Complexity ◽  
Entire Network

Computer Networks are prone to be attacked by a number of network attacks. To protect an individual system or the entire network from the malicious behaviour, a high level security system is needed. Intrusion detection system (IDS) is a system which give such protection to the network from the intrusions like misuse, unauthorised access etc. Even though many forms of new attacks come into practice, providing the security for the system from the known attack is also a challenging task. The solution is a Signature based IDS which is a potential tool to identify the known attack, sending alert and protect the networks. So a novel signature based IDS(ORG-IDS) with four phases such as Feature Selection, Classification, Optimized Rule generation and Pattern matching is proposed. For any efficient signature based IDS, it should have the signature rules in less number but it should be effective in identifying attacks with good time and memory complexity. In this paper, a new algorithm is proposed for Rule generation phase of proposed IDS to configure the rules by implementing Ant Colony Optimization Technique with Association Rule Mining . The parameters like number of rules, running time and memory utilization are measured and proved that this proposed algorithm outperforms the other existing algorithms.

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