scholarly journals A ROLE OF INTRUSION DETECTION SYSTEM FOR WIRELESS LAN USING VARIOUS SCHEMES AND RELATED ISSUES

2013 ◽  
Vol 10 (9) ◽  
pp. 979-985
Author(s):  
Ethala
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Wireless Lan ◽  
Detection System

scholarly journals An analytical survey on the role of machine learning algorithms in case of intrusion detection

2020 ◽  
Vol 5 (19) ◽  
pp. 32-35
Author(s):  
Anand Vijay ◽  
Kailash Patidar ◽  
Manoj Yadav ◽  
Rishi Kushwah
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Handling Mechanism ◽  
The Impact

In this paper an analytical survey on the role of machine learning algorithms in case of intrusion detection has been presented and discussed. This paper shows the analytical aspects in the development of efficient intrusion detection system (IDS). The related study for the development of this system has been presented in terms of computational methods. The discussed methods are data mining, artificial intelligence and machine learning. It has been discussed along with the attack parameters and attack types. This paper also elaborates the impact of different attack and handling mechanism based on the previous papers.

Optimized Packet Filtering Honeypot with Snooping Agents in Intrusion Detection System for WLAN

2018 ◽  
Vol 12 (1) ◽  
pp. 53-62 ◽  
Author(s):  
Gulshan Kumar ◽  
Rahul Saha ◽  
Mandeep Singh ◽  
Mritunjay Kumar Rai
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Wireless Lan ◽  
Network Performance ◽  
Detection System ◽  
Queuing Delay ◽  
Strongly Coupled ◽  
Network Intrusion ◽  
Simulation Scenario ◽  
The Impact

Wireless LAN networks are considered to be widely used and efficient infrastructure used in different domains of communication. In this paper, we worked on Network Intrusion Detection System (NIDS) to prevent intruder's activities by using snooping agents and honeypot on the network. The idea behind using snooping agents and honeypot is to provide network management in term of monitoring. Honey pot is placed just after the Firewall and intrusion system have strongly coupled synchronize with snooping agents Monitoring is considered at packet level and pattern level of the traffic. Simulation filtered and monitor traffic for highlight the intrusion in the network. Further attack sequence has been created and have shown the effects of attack sequence on scenario which have both honey pot and snoop agent with different network performance parameters like throughput, network load, queuing delay, retransmission attempt and packet. The simulation scenario shows the impact of attack on the network performance.

scholarly journals DEVELOPMENT OF AN INTRUSION DETECTION SYSTEM IN A COMPUTER NETWORK

2014 ◽  
Vol 12 (5) ◽  
pp. 3479-3485
Author(s):  
Babatunde R.S ◽  
Adewole K.S ◽  
Abdulsalam S.O ◽  
Isiaka R.M
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Preventive Measures ◽  
Computer Network ◽  
Detection System ◽  
Denial Of Service ◽  
Network System ◽  
Network Attack ◽  
Network Technologies

The development of network technologies and application has promoted network attack both in number and severity.  The last few years have seen a dramatic increase in the number of attacks, hence, intrusion detection has become the mainstream of information assurance. A computer network system should provide confidentiality, integrity and assurance against denial of service. While firewalls do provide some protection, they do not provide full protection.  This is because not all access to the network occurs through the firewall.  This is why firewalls need to be complemented by an intrusion detection system (IDS).An IDS does not usually take preventive measures when an attack is detected; it is a reactive rather than proactive agent. It plays the role of an informant rather than a police officer. In this research, an intrusion detection system that can be used to deny illegitimate access to some operations was developed. The IDS also controls the kind of operations performed by users (i.e. clients) on the network. However, unlike other methods, this requires no encryption or cryptographic processing on a per-packet basis. Instead, it scans the various messages sent on a network by the user. The system was developed using MicrosoftVisual Basic.

scholarly journals Intrusion Detection System using Datamining Based Enhanced Framework

2019 ◽  
Vol 9 (1) ◽  
pp. 5013-5017
Keyword(s):  
Genetic Algorithms ◽  
Network Security ◽  
Intrusion Detection ◽  
Decision Tree ◽  
Intrusion Detection System ◽  
Detection System ◽  
Experimental Results ◽  
Network Resources ◽  
Classification Techniques

With the significant increase in the use of computers over the network and the development of applications on different platforms, the focus is on network security. The identification of multiple attacks is actually an important element of network security. The role of the IDS is to track and prevent unauthorized use or damage to network resources and systems. An intrusion detection system using Datamining Based Enhanced Framework (DEF) is presented in this paper. The model is assisted by the K-mean Clustering and Decision Tree (DT) classification techniques in which genetic algorithms (GA) for clusters, max runs and confidence can be used. The experimental results shows the promising outcome of the proposed Datamining Based Enhanced Framework (DEF).

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