An intelligent intrusion detection system for secure wireless communication using IPSO and negative selection classifier

2018 ◽  
Vol 22 (S5) ◽  
pp. 12429-12441 ◽  
Author(s):  
G. Bhuvaneswari ◽  
G. Manikandan
Keyword(s):  
Wireless Communication ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Negative Selection ◽  
Detection System

Physical Layer Intrusion Detection System Based on Channel Prediction for Wireless Networks

2014 ◽  
Vol 556-562 ◽  
pp. 2711-2714
Author(s):  
Soo Young Shin ◽  
Isnan Arif Wicaksono
Keyword(s):  
Wireless Networks ◽  
Wireless Communication ◽  
Intrusion Detection ◽  
False Alarm ◽  
Intrusion Detection System ◽  
Time Slot ◽  
Detection System ◽  
Physical Layer ◽  
False Alarm Ratio ◽  
Channel Prediction

Wireless Networks suffer from many constraints including wireless communication channel, internal and external attacks, security becomes the main concern to deal with such kind of networks. Therefore, an intrusion detection system (IDS) is required that monitors the network, detects misbehavior or anomalies and notifies other nodes in the network to avoid or punish the misbehaving nodes. This paper describes the simple method to detect the intruder in wireless communication system based on physical layer characteristics. Channel prediction method is used in receiver part to predict the transmission channel for the next time slot. Then, in the next time slot the result is compared with the actual value of channel from the channel estimation. Number of detection and false alarm ratio is measured as performance matrices of the simulation. Based on simulation result, the proposed intrusion detection system give high detection ratio and low false alarm ratio for given threshold.

scholarly journals Trust based Intrusion Detection System Architecture for WSN

2020 ◽  
Vol 8 (6) ◽  
pp. 700-703
Keyword(s):  
New Species ◽  
Wireless Communication ◽  
Intrusion Detection ◽  
Significant Role ◽  
System Architecture ◽  
Intrusion Detection System ◽  
Detection System ◽  
Research Paper ◽  
Software Application ◽  
Security Scheme

Today there are extraordinary attacks on all kind of networks. Security for Payload is considered one of the biggest agenda for all kind of organizations. To deal with new species if attacks like threat, which are blended in nature, no security platform can take guarantee for their intrusion protection. Among all security platforms, intrusion detection system (IDS) are being used to do the inspection of all the packets or data being transferred between two nodes, A software application , that is responsible doing the monitoring of any kind of unwanted or to monitor the activity which is malicious in nature. This research acquaints about handling unknown attacks through Intrusion Detection System. For improving security in wireless communication, Intrusion Detection System (IDS) plays significant role, which includes information about network and security scheme. Hence, this research paper focused on development of appropriate system architecture for IDS system

A New Negative Selection Algorithm for Adaptive Network Intrusion Detection System

2014 ◽  
Vol 8 (4) ◽  
pp. 1-25 ◽  
Author(s):  
Chikh Ramdane ◽  
Salim Chikhi
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Negative Selection ◽  
Detection System ◽  
Selection Algorithm ◽  
High Detection Rate ◽  
Negative Selection Algorithm ◽  
Detection Systems ◽  
Network Intrusion ◽  
System Adaptation

Negative Selection Algorithm (NSA) is one of the widely used techniques for Intrusion Detection Systems (IDS) designing. In this paper, the proposed is an IDS based on a new model of NSA namely HNSA-IDSA (Hybrid NSA for Intrusion Detection System Adaptation). The proposed system can detect unknown attacks; moreover can be adapted automatically when new profiles' changes of the system are detected. To determine the efficiency of the proposed approach, the standard KDD99 dataset was used for performing experiments. The obtained results show that the authors' mechanism outperforms some literature techniques providing variant important properties as high detection rate, low false positive, adaptability and new attacks detection.

Sign in / Sign up

Export Citation Format

Share Document