Behavior-Based Intrusion Detection in Mobile Phone Systems

Boukerche, Azzedine; Notare, Mirela Sechi Moretti Annoni

doi:10.1006/jpdc.2002.1857

Cited by 53 publications

(29 citation statements)

References 7 publications

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“…The weekday feature was calculated by using the day feature; as people's activity on different weekdays could be different [4] [12]. A Radial Basis Network (RBF) was utilised in favour of other approaches given its previous success in [4] [7]. The configuration of which was iteratively modified to optimise performance.…”

Section: Methodsmentioning

confidence: 99%

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Behaviour Profiling on Mobile Devices

Clarke

Papadaki

et al. 2010

2010 International Conference on Emerging Security Technologies

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Section: Methodsmentioning

confidence: 99%

“…Any deviation between the current calling session and the historical profile that exceeds a threshold, is identified as an intrusion. Several studies were proposed by using this procedure, such as the European ASPECT (Advanced Security for Personal Communication Technologies) project [5], [6], and [7].…”

Section: Behaviour Based Mobile Idsmentioning

confidence: 99%

Behaviour Profiling on Mobile Devices

Clarke

Papadaki

et al. 2010

2010 International Conference on Emerging Security Technologies

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“…This is used to determine a more generalized projection of the vehicle's movement. Determining this generalized path is done with a similar learning method described by A. Boukerche et al [87,108] These two operations are conducted separately, as done in [30], except the pattern matching approach will sometimes use the movement projection's predicted AP to help differentiate between similar pattern predictions. By including some overlap between the two prediction methods, the prediction is more informed and accuracy is improved.…”

Section: Pattern Matching and Hybridmentioning

confidence: 99%

Predictive mobile IP handover for vehicular networks

Magnano

Xin

Boukerche

2015

2015 IEEE 40th Conference on Local Computer Networks (LCN)

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Vehicular networks are an emerging technology that offer potential for providing a variety of new services. However, extending vehicular networks to include IP connections is still problematic, due in part to the incompatibility of mobile IP handovers with the increased mobility of vehicles. The handover process, consisting of discovery, registration, and packet forwarding, has a large overhead and disrupts connectivity. With increased handover frequency and smaller access point dwell times in vehicular networks, the handover causes a large degradation in performance. This thesis proposes a predictive handover solution, us-

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“…Vice versa particular services or operations might be utilized in public areas or correspondingly high risk locations, allowing immediate yet discrete security adjustments to be made. This is achievable via the adaptation of behavior based identification techniques [25].…”

Section: Device Interactionmentioning

confidence: 99%

A distributed and cooperative user authentication framework

Hocking

Furnell

Clarke

et al. 2010

2010 Sixth International Conference on Information Assurance and Security

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Abstract-As the requirement for companies and individuals to protect information and personal details comes more into focus, the implementation of security that goes beyond the ubiquitous password or Personal Identification Number (PIN) is paramount. With the ever growing number of us utilizing more than one device simultaneously, the problem and need is compounded. This paper proposes a novel approach to security that leverages the collective confidence of user identity held by the multiplicity of devices present at any given time. User identity confidence is reinforced by sharing established credentials between devices, enabling them to make informed judgments on their own security position. An Adaptive Security Control Engine (ASCE) is outlined, illustrating how an environment sensitive and adaptive security envelope can be established and maintained around an individual.

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Behavior-Based Intrusion Detection in Mobile Phone Systems

Cited by 53 publications

References 7 publications

Behaviour Profiling on Mobile Devices

Behaviour Profiling on Mobile Devices

Predictive mobile IP handover for vehicular networks

A distributed and cooperative user authentication framework

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