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[PDF] Top 20 A Multi-Fusion Pattern Matching Algorithm for Signature-Based Network Intrusion Detection System

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A Multi-Fusion Pattern Matching Algorithm for Signature-Based Network Intrusion Detection System

A Multi-Fusion Pattern Matching Algorithm for Signature-Based Network Intrusion Detection System

... The existing and proposed algorithms are implemented in C programming language and have been compiled with the GNU C Compiler, using the optimization options -O3. The experiments were executed locally on a MacBook Pro ... See full document

8

INTRUSION DETECTION SOLUTION USING ANOMALY DETECTION SCHEME

INTRUSION DETECTION SOLUTION USING ANOMALY DETECTION SCHEME

... of detection engine detects intrusions that follow well-known patterns of attacks (or signatures) that use known software International Journal of Network Security & Its Applications The main restraint ... See full document

11

A graphics processing unit based network intrusion detection system with bloom filter pattern matching algorithm

A graphics processing unit based network intrusion detection system with bloom filter pattern matching algorithm

... a signature based Network Intrusion Detection System with the Graphics Processor Unit ...(FPGA), Network Processor and General Purpose Processor (CPU) for the ... See full document

21

Volume 2, Issue 8, August 2013 Page 286

Volume 2, Issue 8, August 2013 Page 286

... a network intruder intercepts data travelling through the network, and "Active" in which an intruder initiates commands to disrupt the network's normal ...are Network Intrusion ... See full document

8

Network Intrusion Detection Evading System using Frequent Pattern Matching

Network Intrusion Detection Evading System using Frequent Pattern Matching

... NIDS based on the C4.5 algorithm. This algorithm is a supervised learning classifier whose output is a ...get detection rate of our NIDS as 90.30%. Adaboost algorithm classifies attacks ... See full document

5

A Review of Intrusion Detection Technique in Cloud Architecture

A Review of Intrusion Detection Technique in Cloud Architecture

... is based on hybrid technique combining two low level components including fuzzy logic for misuse detection and neural networks for anomaly detection, and one high level component which is a central ... See full document

20

Analyzing pattern matching algorithms applied on snort intrusion detection system

Analyzing pattern matching algorithms applied on snort intrusion detection system

... and network-based IDS. Host-based IDS operates as traditional antivirus software collecting information from each individual computer system, and it can be blocked or detect ...the ... See full document

23

Signature 
		based intrusion detection in cloud based multi tenant system using MTM 
		algorithm

Signature based intrusion detection in cloud based multi tenant system using MTM algorithm

... The intrusion by the malicious attackers in real time cloud networks has major issues for security ...cloud network and addresses the mischievous and malicious behaviour, which is the root cause for the ... See full document

6

A General Study of Associations rule mining in Intrusion Detection System

A General Study of Associations rule mining in Intrusion Detection System

... from network audit data as models of “normal ...an algorithm for computing fuzzy association rules based on Borgelt’s prefix trees, modifications to the computation of support and confidence of fuzzy ... See full document

10

A FUZZY APPROACH FOR REPRESENTATIVE NODE SELECTION IN CROSS LAYER TCP

A FUZZY APPROACH FOR REPRESENTATIVE NODE SELECTION IN CROSS LAYER TCP

... effective system inspired from honeybees protection mechanism in nature is proposed to detect and prevent network ...of multi-agents deployed in distributed locations in the network to ... See full document

10

Pattern Matching Algorithm for Network Intrusion Detection Systems

Pattern Matching Algorithm for Network Intrusion Detection Systems

... Aparicio-Navarro et al. [33] finds three scenarios in which correctly labelled datasets are required. Stating that when using unsupervised IDS there is a need for labelled datasets to be trained. When the nature of an ... See full document

11

A New Multiple-Pattern Matching Algorithm for the Network Intrusion Detection System

A New Multiple-Pattern Matching Algorithm for the Network Intrusion Detection System

... Rabin–Karp algorithm is a string searching algorithm in 1987 that uses hashing to find any one of a set of pattern strings in a ...searching algorithm calculates a hash value for the ... See full document

7

A Study On Detection Of Distributed Denial Of Service Attacks Using Machine Learning Techniques

A Study On Detection Of Distributed Denial Of Service Attacks Using Machine Learning Techniques

... this algorithm, the data set is learnt and ...Tree algorithm can also be used for DOS attack ...tree algorithm for the detection of DoS attacks and then compares it with two rule based ... See full document

10

AN IMPROVED AND OPTIMIZED PATTERN MATCHING ALGORITHM BASED ON INTRUSION DETECTION SYSTEM

AN IMPROVED AND OPTIMIZED PATTERN MATCHING ALGORITHM BASED ON INTRUSION DETECTION SYSTEM

... topic. Intrusion detection system, as the second line of defense after the firewall in computer security system, can well improve the Computer security ...performance. Intrusion ... See full document

9

A Capability-Based Hybrid CPU/GPU Pattern Matching Algorithm for Deep Packet Inspection

A Capability-Based Hybrid CPU/GPU Pattern Matching Algorithm for Deep Packet Inspection

... Abstract: Network applications have been developed quickly during recent years, and communications between these applications involve a large quantity of data transfer through high speed ...ensure network ... See full document

10

Intrusion Detection Systems: A Survey and Taxonomy

Intrusion Detection Systems: A Survey and Taxonomy

... a system is named ‘Intrusion’, furthermore due to this, Intrusions often reveal vulnerabilities required to be identified as soon as ...possible. Intrusion Detection System (IDS) is a ... See full document

6

Exploration of Anomaly Based Intrusion Detection System: A Security Framework

Exploration of Anomaly Based Intrusion Detection System: A Security Framework

... security network. But still there are some existing concepts for intrusion detection ...anomaly based IDS by considering the parameters of false positive rate and detection ...anomaly ... See full document

6

INTRUSION DETECTION USING BIOLOGICAL INSPIRED IMMUNE SYSTEM

INTRUSION DETECTION USING BIOLOGICAL INSPIRED IMMUNE SYSTEM

... immune system of human. It incorporates artificial immune system using Innate and Adaptive Immune system for Intrusion ...in detection phase, these detector extensions detect anomalous ... See full document

8

Danger Theory Based Hybrid Intrusion Detection Systems for Cloud Computing

Danger Theory Based Hybrid Intrusion Detection Systems for Cloud Computing

... cloud based application software with a similar naming convention: desktop as a service, business process as a service, test environment as a service, communication as a ... See full document

5

A Signature-based Intrusion Detection System for the Internet of Things

A Signature-based Intrusion Detection System for the Internet of Things

... In this paper, we propose a signature-based IDS for IoT networks. We presented a high-level IDS architecture and its main components. The proposed approach involves both centralised and distributed modules ... See full document

7

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