A Novel Intrusion Detection System for Smart Space

2010 ◽  
pp. 307-333
Author(s):  
Bo Zhou ◽  
Qi Shi ◽  
Madjid Merabti
Keyword(s):  
Intrusion Detection ◽  
Ubiquitous Computing ◽  
Intrusion Detection System ◽  
Resource Constraints ◽  
Detection System ◽  
Future Research ◽  
Home Office ◽  
Ubiquitous Networks ◽  
Service Oriented ◽  
New Generation

An Intrusion Detection System (IDS) is a tool used to protect computer resources against malicious activities. Existing IDSs have several weaknesses that hinder their direct application to ubiquitous computing environments like smart home/office. These shortcomings are caused by their lack of considerations about the heterogeneity, flexibility and resource constraints of ubiquitous networks. Thus the evolution towards ubiquitous computing demands a new generation of resource-efficient IDSs to provide sufficient protections against malicious activities. In this chapter we proposed a Service-oriented and User-centric Intrusion Detection System (SUIDS) for ubiquitous networks. SUIDS keeps the special requirements of ubiquitous computing in mind throughout its design and implementation. It sets a new direction for future research and development.

scholarly journals A Hybrid Intrusion Detection System for IoT Applications with Constrained Resources

2020 ◽  
Vol 12 (1) ◽  
pp. 109-130 ◽  
Author(s):  
Chao Wu ◽  
Yuan'an Liu ◽  
Fan Wu ◽  
Feng Liu ◽  
Hui Lu ◽  
...  
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Resource Constraints ◽  
Detection System ◽  
Data Gathering ◽  
Malicious Nodes ◽  
Network Information ◽  
Malicious Node Detection ◽  
The Impact ◽  
Cyber Criminals

Network security and network forensics technologies for the Internet of Things (IoT) need special consideration due to resource-constraints. Cybercrimes conducted in IoT focus on network information and energy sources. Graph theory is adopted to analyze the IoT network and a hybrid Intrusion Detection System (IDS) is proposed. The hybrid IDS consists of Centralized and Active Malicious Node Detection (CAMD) and Distributed and Passive EEA (Energy Exhaustion Attack) Resistance (DPER). CAMD is integrated in the genetic algorithm-based data gathering scheme. CAMD detects malicious nodes manipulated by cyber criminals and provides digital evidence for forensics. DPER is implemented in a set of communication protocols to alleviate the impact of EEA attacks. Simulation experiments conducted on NS-3 platform showed the hybrid IDS proposed detected and traced malicious nodes precisely without compromising energy efficiency. Besides, the impact of EEA attacks conducted by cyber criminals was effectively alleviated.

Analysis of Intrusion Detection System

2011 ◽  
Vol 460-461 ◽  
pp. 451-454
Author(s):  
Yue Sheng Gu ◽  
Hong Yu Feng ◽  
Jian Ping Wang
Keyword(s):  
Information Security ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Intrusion Detection Systems ◽  
Future Research ◽  
Detection Model ◽  
Detection Systems ◽  
Detection Technology ◽  
Technology Concepts

Intrusion detection system is an important device of information security. This article describes intrusion detection technology concepts, classifications and universal intrusion detection model, and analysis of the intrusion detection systems weaknesses and limitations. Finally, some directions for future research are addressed.

Distributed Intrusion Detection Systems

2007 ◽  
pp. 231-238
Author(s):  
Rosalind Deena Kumari ◽  
G. Radhamani
Keyword(s):  
Intrusion Detection ◽  
System Architecture ◽  
Intrusion Detection System ◽  
Detection System ◽  
Research Work ◽  
Intrusion Detection Systems ◽  
Future Research ◽  
Detection Systems ◽  
Distributed Intrusion Detection ◽  
Entire Network

The recent tremendous increase in the malicious usage of the network has made it necessary that an IDS should encapsulate the entire network rather than at a system. This was the inspiration for the birth of a distributed intrusion detection system (DIDS). Different configurations of DIDSs have been actively used and are also rapidly evolving due to the changes in the types of threats. This chapter will give the readers an overview of DIDS and the system architecture. It also highlights on the various agents that are involved in DIDS and the benefits of the system. Finally, directions for future research work are discussed.

scholarly journals Intrusion Detection System for the Internet of Things Based on Blockchain and Multi-Agent Systems

Electronics ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 1120 ◽  
Author(s):  
Chao Liang ◽  
Bharanidharan Shanmugam ◽  
Sami Azam ◽  
Asif Karim ◽  
Ashraful Islam ◽  
...  
Keyword(s):  
Deep Learning ◽  
Internet Of Things ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Resource Constraints ◽  
Detection System ◽  
Learning Algorithms ◽  
Transport Layer ◽  
Multi Agent Systems ◽  
Multi Agent

With the popularity of Internet of Things (IoT) technology, the security of the IoT network has become an important issue. Traditional intrusion detection systems have their limitations when applied to the IoT network due to resource constraints and the complexity. This research focusses on the design, implementation and testing of an intrusion detection system which uses a hybrid placement strategy based on a multi-agent system, blockchain and deep learning algorithms. The system consists of the following modules: data collection, data management, analysis, and response. The National security lab–knowledge discovery and data mining NSL-KDD dataset is used to test the system. The results demonstrate the efficiency of deep learning algorithms when detecting attacks from the transport layer. The experiment indicates that deep learning algorithms are suitable for intrusion detection in IoT network environment.

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