intrusion detection
Intrusion Detection and Countermeasure of Virtual Cloud Systems - State of the Art and Current Challenges
... Al-Jarrah et al. [31] suggest embedding the temporal behaviour of attacks into a Time Delay Neural Network (TDNN) model to defend against probe or reconnaissance attacks. The suggested system works on a universal IP plan ...
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Feature Extraction based Approaches for Improving the Performance of Intrusion Detection Systems
... and intrusion detection system model, dimension reduction methods are often used to select important features and to reduce dimension size for saving computational ...
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AN ANN APPROACH FOR NETWORK INTRUSION DETECTION USING ENTROPY BASED FEATURE SELECTION
... of intrusion detection which essentially analyzes the network traffic and tries to determine normal and abnormal patterns of ...NSL-KDD intrusion dataset using some neural network based techniques ...
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Intrusion Detection in Computer Networks using a Fuzzy-Heuristic Data Mining Technique
... According to the above discussion, it is clear that our proposed SA-based learning algorithm outperforms several other classification methods in the intrusion detection problem. By adjusting α as the ...
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Prototype of Intrusion Detection Model using UML 5.0 and Forward Engineering
... Host based solutions like Intrusion Detection System, various antivirus software and firewalls are usually used for anomaly types such as virus or intrusion detection. Although, these ...
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Analyzing Audit Trails in a Distributed and Hybrid Intrusion Detection Platform
... trusion Detection Systems (IDS). In addition to the widespread use of Intrusion Pre- vention Systems (IPS) as perimeter defense devices in systems and networks, various IDS solutions are used together as ...
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Performance Enhancement of Intrusion Detection using Neuro - Fuzzy Intelligent System
... deploying Intrusion Detection Systems (IDS). Intrusion detection types can be broadly classified into Anomaly detection and Misuse ...Misuse detection is an approach in detecting ...
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Amelioration of Attack Classifications for Evaluating and Testing Intrusion Detection System
... Abstract: Problem statement: The problem of the computer attack system has recently been much studied to improve the evaluation process of the Intrusion Detection Systems (IDS). Approach: This study aimed ...
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A survey on anomaly and signature based intrusion detection system (IDS)
... G.Imen Brahmi et al [ 7] proposed Hybrid (Misuse-Anomaly) IDS using data mining and mobile agent technology to detect known and novel attacks. It uses mobile agents to collect and analyze network traffic. Multiple copies ...
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A Study of Various Intrusion Detection Model Based on Data Fusion, Neural Network and D-S Theory
... basic detection layer Various IDS agents are arranged in the basic detection layer, different agents adopt different detecting methods to give detection to the collected system ...independence ...
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Effective Network Intrusion Detection using Classifiers Decision Trees and Decision rules
... Network Intrusion Detection aims at distinguishing the behavior of the ...years, Intrusion Detection System (IDS) is increasingly becoming a critical component to secure the ...of ...
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Analysis of Intrusion Detection Log Data on a Scalable Environment
... As long as a computer system or a network is connected to the Internet it will always be susceptible to becoming a victim of a potential attack - whether because the attacker wants to steal/access some information, to ...
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HYBRID OF FUZZY CLUSTERING NEURAL NETWORK OVER NSL DATASET FOR INTRUSION DETECTION SYSTEM
... Intrusion Detection System (IDS) is one of the component that take part in the system defence, to identify abnormal activities happening in the computer ...for intrusion detection have been ...
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RESEARCH ON SECURITY PROTOCOL FOR COLLABORATING MOBILE AGENTS IN NETWORK INTRUSION DETECTION SYSTEMS
... The focus of our research is on mobile agent communication security in an agent based intrusion detection system in Wireless Local Area Network (WLAN). The WLAN infrastructure is protected using ...
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Design Hybrid method for intrusion detection using Ensemble cluster classification and SOM network
... for intrusion detection are often ineffective in dealing with dynamic changes in intrusion patterns and ...these intrusion classes has not been able to detect new intrusions as well as known ...
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Cognitive Approach Based User Node Activity Monitoring for Intrusion Detection in Wireless Networks
... Doumit and Agrawal [8] have proposed light-weight intrusion detection system. It uses both anomaly based intrusion detection and host-based data collection mechanism. In this approach, all the ...
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The Proposal Of Hybrid Intrusion Detection For Defence Of Sync Flood Attack In Wireless Sensor Network
... The next prevalent form of intrusion detection model is through signature matching. Referred to as signature-based IDS, our system received the abnormal data packets and match packet attributes against a ...
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SECURITY IN VEHICULAR AD HOC NETWORK BASED ON INTRUSION DETECTION SYSTEM
... VANETs. Intrusion detection imposes various challenges to efficient implementation of ...several intrusion detection measures have been ...
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Towards Multi-Stage Intrusion Detection using IP Flow Records
... for intrusion detection in high-speed networks using IP flow ...stage detection process. An initial intrusion alert is also sent to the consolidated intrusion alert ...
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Intrusion Detection Systems Based On Packet Sniffing
... network intrusion detection: signature detection, and anomaly ...signature detection approach utilizes well-known signatures for network traffic to identify potentially malicious ...anomaly ...
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