Intrusion detection in MANET using classification algorithms: The effects of cost and model selection

Mitrokotsa, Aikaterini; Dimitrakakis, Christos

doi:10.1016/j.adhoc.2012.05.006

Cited by 77 publications

(35 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Much work has been done which outlines classifiers using: decision trees [17], Hidden Naïve Bayes [18], and support vector machines (SVMs) [19], and the like. Research has also been conducted to show the effectiveness of clustering algorithms [20] and associators [21] in the network intrusion domain.…”

Section: IImentioning

confidence: 99%

Mining information assurance data with a hybrid intelligence/multi-agent system

Fowler

Hammell

2015

2015 IEEE/ACIS 14th International Conference on Computer and Information Science (ICIS)

View full text Add to dashboard Cite

In today's world an unprecedented and overwhelming volume of information is available to organizations of all sizes; the resultant "information overload" problem is well documented. This problem is especially challenging in the world of network intrusion detection. In this research we demonstrate that in the domain of offline network data mining, several different data mining algorithms (hybrid intelligence) operating concurrently on the same data in a multiagent system, and reporting their results for interpretation and interpolation, will yield more accurate characterizations and extract more knowledge than a single data mining algorithm acting on its own. We also briefly outline the design and functions of our SPADE-based multi-agent system, demonstrating its effectiveness at automating multi-path data mining tasks. This code ingests a PCAP, semi-autonomously preprocesses it and feeds it into Weka for processing/mining using several different algorithms. It then presents results to a human operator providing a feedback insertion point.

show abstract

Section: IImentioning

confidence: 99%

Mining information assurance data with a hybrid intelligence/multi-agent system

Fowler

Hammell

2015

2015 IEEE/ACIS 14th International Conference on Computer and Information Science (ICIS)

View full text Add to dashboard Cite

show abstract

“…In [63], authors presented the statistical classification based IDS in AODV reactive routing protocol. This scheme locally collects data and merges the collected data for classifying the model.…”

Section: Intrusion Detection Systemmentioning

confidence: 99%

A Survey on Contemporary MANET Security: Approaches for Securing the MANET

Patel¹,

Kamboj²

2017

IJET

View full text Add to dashboard Cite

Abstract-The wireless mobile nodes are capable to build spontaneously temporary wireless network in absence of infrastructure like AP, Router etc. and they act as a wireless router. Due to this, wireless mobile nodes are capable for forwarding messages to other nodes. MANET (Mobile Adhoc Network) is a one of the wireless network and forms a temporary connection across the mobile nodes without central infrastructure to exchange the information. Due to the characteristics of MANET, it is vulnerable to active and passive attacks from internal and external attacker. This will lead to various security challenges. There is a requirement to secure the MANET from threats and vulnerability. Many security mechanisms are established to secure and protect the MANET. This article is intended to provide contemporary MANET security with perspective of routing protocol security and data security with key management, and monitoring the MANET during routing and/or data transmission using IDS (Intrusion Detection System). This article presents the various attacks face by MANET and its security goals. The article explored various security solutions for routing protocols, data security using cryptography as a first line of defence, key management for securing communication. . MANET is a self-organized and less infrastructure temporary wireless network where the contents are transferred from node to node. In this environment, all nodes are equally works as a router. The MANET's characteristics are wireless link as a shared medium, dynamic topology, node mobility, limited energy, limited resources, distributed operations, fewer infrastructures, self organized, all nodes are not trusted, multipath route etc. MANET has unique challenges due to its characteristics. Hence, MANET is vulnerable toward a great variety of attacks [4] due to its challenges. However, MANET is flexible, scalable, relatively cheap and easily deployable at any place and time because of its characteristics. On the other side, the MANET is vulnerable to availability, integrity, privacy, indeed, eavesdropping and interception. It is also vulnerable to node suppression, node replication and node impersonation due to self organized topology. Secure routing, security of content transfer, quality of service (QoS) and service discovery are the main security goals in adhoc networking [3].MANET can be used in tactical networks like military communication and operations, emergency services like disaster recovery and rescue operation, commercial sector like networks of visitors at airports and PAN (Personal Area Network), enterprise networking like networks at construction sites, education network like virtual classrooms, entertainment network like multi user games, sensor network like animal movement, context aware services and coverage extension like linking up with the Internet, intranets etc.In this paper, we focus on contemporary MANET security. This paper is organized as follows. Section 2 describes the MANET attacks and security goal. Section 3 describes the approaches...

show abstract

“…Intrusion prevention can be used as a first line of defense, but this system was not sufficient to prevent it directly [3]. Intrusion detection system was used as a mechanism for representing promising security failures in the system.…”

Section: Introductionmentioning

confidence: 99%