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

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 Evaluation of DDoS attacks Detection in a New Intrusion Dataset Based on Classification Algorithms

2019 ◽  
Vol 1 (3) ◽  
pp. 49-55 ◽  
Author(s):  
Amer A. Abdulrahman ◽  
Mahmood K. Ibrahem
Keyword(s):  
Intrusion Detection ◽  
Computer Security ◽  
System Architecture ◽  
Intrusion Detection System ◽  
Network Flows ◽  
Detection System ◽  
Machine Learning Algorithms ◽  
Strategic Decision ◽  
Classification Algorithms ◽  
Ddos Attack

Intrusion detection system is an imperative role in increasing security and decreasing the harm of the computer security system and information system when using of network. It observes different events in a network or system to decide occurring an intrusion or not and it is used to make strategic decision, security purposes and analyzing directions. This paper describes host based intrusion detection system architecture for DDoS attack, which intelligently detects the intrusion periodically and dynamically by evaluating the intruder group respective to the present node with its neighbors. We analyze a dependable dataset named CICIDS 2017 that contains benign and DDoS attack network flows, which meets certifiable criteria and is openly accessible. It evaluates the performance of a complete arrangement of machine learning algorithms and network traffic features to indicate the best features for detecting the assured attack classes. Our goal is storing the address of destination IP that is utilized to detect an intruder by method of misuse detection.

Redundancy Management and Host Intrusion Detection in WSN

2020 ◽  
pp. 153-167 ◽  
Author(s):  
Vijander Singh ◽  
Ramesh C. Poonia ◽  
Linesh Raja ◽  
Gourav Sharma ◽  
Narendra Kumar Trivedi ◽  
...  
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Access Point ◽  
Brute Force ◽  
Software Application ◽  
Redundancy Management ◽  
Different Types ◽  
Network Event

Intrusion detection system (IDS) is a software application that gives the facility to monitor the traffic of network, event, or activities on networks and finds if any malicious operation occurs. Hackers use different types of attacks to capture the information and use brute force attacks to match the authenticated key with the key, which the hacker has in its stable. When there is a match, the hacker gets the authenticated key through which he can connect with the hotspot or AP. IDS finds invalid or any other misbehavior in the system. The protocol will take care of it; protocol checks the MAC address of the device which wishes to connect with the hotspot or AP, and if any device repeatedly enters a wrong password, the protocol will gives a pop up on the administrator system. The objective of this chapter is to provide information about the protocol that behaves like IDS and is pre-implemented in the routers, which gives the alert to the administrator if any intruder tries to connect with the hotspot or AP (access point) with the rapid wrong key.

Sign in / Sign up

Export Citation Format

Share Document