Mobile Hybrid Intrusion Detection

Mobile Hybrid Intrusion Detection PDF Author: Álvaro Herrero
Publisher: Springer Science & Business Media
ISBN: 3642182984
Category : Computers
Languages : en
Pages : 151

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Book Description
This monograph comprises work on network-based Intrusion Detection (ID) that is grounded in visualisation and hybrid Artificial Intelligence (AI). It has led to the design of MOVICAB-IDS (MObile VIsualisation Connectionist Agent-Based IDS), a novel Intrusion Detection System (IDS), which is comprehensively described in this book. This novel IDS combines different AI paradigms to visualise network traffic for ID at packet level. It is based on a dynamic Multiagent System (MAS), which integrates an unsupervised neural projection model and the Case-Based Reasoning (CBR) paradigm through the use of deliberative agents that are capable of learning and evolving with the environment. The proposed novel hybrid IDS provides security personnel with a synthetic, intuitive snapshot of network traffic and protocol interactions. This visualisation interface supports the straightforward detection of anomalous situations and their subsequent identification. The performance of MOVICAB-IDS was tested through a novel mutation-based testing method in different real domains which entailed several attacks and anomalous situations.

Mobile Hybrid Intrusion Detection

Mobile Hybrid Intrusion Detection PDF Author: Álvaro Herrero
Publisher: Springer Science & Business Media
ISBN: 3642182984
Category : Computers
Languages : en
Pages : 151

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Book Description
This monograph comprises work on network-based Intrusion Detection (ID) that is grounded in visualisation and hybrid Artificial Intelligence (AI). It has led to the design of MOVICAB-IDS (MObile VIsualisation Connectionist Agent-Based IDS), a novel Intrusion Detection System (IDS), which is comprehensively described in this book. This novel IDS combines different AI paradigms to visualise network traffic for ID at packet level. It is based on a dynamic Multiagent System (MAS), which integrates an unsupervised neural projection model and the Case-Based Reasoning (CBR) paradigm through the use of deliberative agents that are capable of learning and evolving with the environment. The proposed novel hybrid IDS provides security personnel with a synthetic, intuitive snapshot of network traffic and protocol interactions. This visualisation interface supports the straightforward detection of anomalous situations and their subsequent identification. The performance of MOVICAB-IDS was tested through a novel mutation-based testing method in different real domains which entailed several attacks and anomalous situations.

Mobile Hybrid Intrusion Detection

Mobile Hybrid Intrusion Detection PDF Author: Ãlvaro Herrero
Publisher:
ISBN: 9783642183003
Category :
Languages : en
Pages : 158

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Book Description


Movicab-ids

Movicab-ids PDF Author: Álvaro Herrero
Publisher:
ISBN:
Category :
Languages : en
Pages : 240

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Book Description


Intrusion Detection and Prevention for Mobile Ecosystems

Intrusion Detection and Prevention for Mobile Ecosystems PDF Author: Georgios Kambourakis
Publisher: CRC Press
ISBN: 1315305828
Category : Computers
Languages : en
Pages : 559

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Book Description
This book presents state-of-the-art contributions from both scientists and practitioners working in intrusion detection and prevention for mobile networks, services, and devices. It covers fundamental theory, techniques, applications, as well as practical experiences concerning intrusion detection and prevention for the mobile ecosystem. It also includes surveys, simulations, practical results and case studies.

Intrusion Detection and Prevention for Mobile Ecosystems

Intrusion Detection and Prevention for Mobile Ecosystems PDF Author: Georgios Kambourakis
Publisher: CRC Press
ISBN: 131530581X
Category : Computers
Languages : en
Pages : 477

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Book Description
This book presents state-of-the-art contributions from both scientists and practitioners working in intrusion detection and prevention for mobile networks, services, and devices. It covers fundamental theory, techniques, applications, as well as practical experiences concerning intrusion detection and prevention for the mobile ecosystem. It also includes surveys, simulations, practical results and case studies.

Hybrid Intrusion Detection System for Contemporary Network Intrusion Dataset

Hybrid Intrusion Detection System for Contemporary Network Intrusion Dataset PDF Author: 廖證模
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description


A Hybrid Intrusion Detection System Based on Different Machine Learning Algorithms

A Hybrid Intrusion Detection System Based on Different Machine Learning Algorithms PDF Author: Kayvan Atefi
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description


Intrusion Detection

Intrusion Detection PDF Author: Zhenwei Yu
Publisher: World Scientific
ISBN: 1848164475
Category : Computers
Languages : en
Pages : 185

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Book Description
Introduces the concept of intrusion detection, discusses various approaches for intrusion detection systems (IDS), and presents the architecture and implementation of IDS. This title also includes the performance comparison of various IDS via simulation.

An Adaptive Hybrid Intrusion Detection System

An Adaptive Hybrid Intrusion Detection System PDF Author: Mahbod Tavallaee
Publisher:
ISBN:
Category : Anomaly detection (Computer security)
Languages : en
Pages : 338

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Book Description


Hybrid Layered Intrusion Detection System

Hybrid Layered Intrusion Detection System PDF Author: Varsha Sainani
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
The increasing number of network security related incidents has made it necessary for the organizations to actively protect their sensitive data with network intrusion detection systems (IDSs). Detecting intrusion in a distributed network from outside network segment as well as from inside is a difficult problem. IDSs are expected to analyze a large volume of data while not placing a significant added load on the monitoring systems and networks. This requires good data mining strategies which take less time and give accurate results. In this study, a novel hybrid layered multiagent-based intrusion detection system is created, particularly with the support of a multi-class supervised classification technique. In agent-based IDS, there is no central control and therefore no central point of failure. Agents can detect and take predefined actions against malicious activities, which can be detected with the help of data mining techniques. The proposed IDS shows superior performance compared to central sniffing IDS techniques, and saves network resources compared to other distributed IDSs with mobile agents that activate too many sniffers causing bottlenecks in the network. This is one of the major motivations to use a distributed model based on a multiagent platform along with a supervised classification technique. Applying multiagent technology to the management of network security is a challenging task since it requires the management on different time instances and has many interactions. To facilitate information exchange between different agents in the proposed hybrid layered multiagent architecture, a low cost and low response time agent communication protocol is developed to tackle the issues typically associated with a distributed multiagent system, such as poor system performance, excessive processing power requirement, and long delays. The bandwidth and response time performance of the proposed end-to-end system is investigated through the simulation of the proposed agent communication protocol on our private LAN testbed called Hierarchical Agent Network for Intrusion Detection Systems (HAN-IDS). The simulation results show that this system is efficient and extensible since it consumes negligible bandwidth with low cost and low response time on the network.