An Intrusion Detection Scheme for Home Wireless Sensor Networks

2011 ◽  
Vol 121-126 ◽  
pp. 3799-3804
Author(s):  
Min Wei ◽  
Kee Wook Rim ◽  
Kee Cheon Kim
Keyword(s):  
Intrusion Detection ◽  
Wireless Sensor ◽  
Network Intrusion Detection ◽  
Home Networks ◽  
Wireless Data ◽  
Detection Scheme ◽  
Security Enhancement ◽  
Network Intrusion ◽  
Wireless Home Networks ◽  
Multi Agents

In this paper, we propose an intrusion detection framework through multi-agents scheme for wireless home automation networks. Our mechanisms include the wireless sensor network intrusion detection architecture and an intrusion detection scheme for security enhancement. For the performance evaluation of our mechanism, we use the wireless data measured on the real wireless home networks. The simulation results show that the security manager detect the intrusion attack to improve the whole performance of the system, and can prolong the lifetime of the network.

Research of Wireless Sensor Network Intrusion Detection Based on Ant-Miner

2014 ◽  
Vol 989-994 ◽  
pp. 4832-4836
Author(s):  
Tao Liu ◽  
Shao Yu Liu ◽  
Dan Wei ◽  
Jie Cui
Keyword(s):  
Wireless Sensor Network ◽  
Intrusion Detection ◽  
Sensor Network ◽  
False Positive Rate ◽  
True Positive Rate ◽  
Wireless Sensor ◽  
Network Intrusion Detection ◽  
Detection Scheme ◽  
Network Intrusion ◽  
Positive Rate

In this paper, we propose an intrusion detection program based on improved Ant-Miner (AM). The proposal needs to collecting out the node data, using intrusion detection module to test, compared with other wireless sensor network intrusion detection scheme, this scheme saves energy consumption of the sensor node effectively. Through the network simulation, this scheme proposed has a lower false positive rate and a higher true positive rate comparing with the current typical wireless sensor network testing program.

Enhance Network Intrusion Detection System by Exploiting BR Algorithm as an Optimal Feature Selection

2015 ◽  
pp. 17-32 ◽  
Author(s):  
Soukaena Hassan Hashem
Keyword(s):  
Intrusion Detection ◽  
Wireless Network ◽  
Intrusion Detection System ◽  
Missing Values ◽  
Detection System ◽  
Network Intrusion Detection ◽  
Wireless Data ◽  
Data Set ◽  
Network Intrusion ◽  
Network Intrusion Detection System

This chapter aims to build a proposed Wire/Wireless Network Intrusion Detection System (WWNIDS) to detect intrusions and consider many of modern attacks which are not taken in account previously. The proposal WWNIDS treat intrusion detection with just intrinsic features but not all of them. The dataset of WWNIDS will consist of two parts; first part will be wire network dataset which has been constructed from KDD'99 that has 41 features with some modifications to produce the proposed dataset that called modern KDD and to be reliable in detecting intrusion by suggesting three additional features. The second part will be building wireless network dataset by collecting thousands of sessions (normal and intrusion); this proposed dataset is called Constructed Wireless Data Set (CWDS). The preprocessing process will be done on the two datasets (KDD & CWDS) to eliminate some problems that affect the detection of intrusion such as noise, missing values and duplication.

scholarly journals Research on Wireless Sensor Network Intrusion Detection Technology

2016 ◽  
Vol 44 ◽  
pp. 01053
Author(s):  
Qing Gang Fan ◽  
Li Wang ◽  
Yun Jie Zhu ◽  
Yan Ning Cai ◽  
Yong Qiang Li
Keyword(s):  
Wireless Sensor Network ◽  
Intrusion Detection ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Network Intrusion Detection ◽  
Network Intrusion ◽  
Detection Technology

scholarly journals Hybrid Intrusion Detection using Machine Learning for Wireless Sensor Networks

2019 ◽  
Vol 8 (12) ◽  
pp. 4867-4871
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Main Idea ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Limited Resources ◽  
Network Intrusion Detection ◽  
Network Intrusion ◽  
Physical Accessibility

This Wireless sensor network (WSN) is a network of sensors, which is capable of communicating with each other and sensing some changes in parameters such as temperature, humidity etc. Such networks are beneficial in many fields, such as military industries, health monitoring, environmental tracking, monitoring of traffic. However, WSN’s are easy to be attacked because of its properties such as untrusted broadcast transmission media, physical accessibility of sensors. So, protecting networks against attacks is one of most important issues in network and information security domain. As Sensor nodes have limited resources, authentication and encryption cannot be implemented directly to it. Hence, we propose a Hybrid Intrusion Detection System, which consists of Host Based Intrusion Detection system (HBIDS) and Network Intrusion Detection System (NIDS). In NIDS anomaly in network traffic, is detected. In HBIDS, patterns of misuse are detected from information collected at particular host or sensor. The main idea is to collect each sensor node’s data and anomaly is detected in network and this detected intrusion is compared with signatures of attack in misuse detection system.

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