A novel framework for mobile attack strategy modelling and vulnerability analysis in wireless ad hoc networks

Karyotis, Vasileios; Papavassiliou, Symeon; Grammatikou, Mary; Maglaris, Vasilis

doi:10.1504/ijsn.2006.011785

Cited by 25 publications

(14 citation statements)

References 14 publications

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“…Since unavailability of a percentage of the network for a time period causes reduced network operation, a combined metric for the number of infected nodes over a time interval is more suitable for the overall performance characterization. Therefore we use the Infection Efficiency I E , of an attack, which is defined as the integral of the time function of the number of infected network nodes [13] , to characterize the overall performance of an attack for a specific combination of system parameters. Intuitively, I E is the product of the number of infected network nodes in an interval by the duration of the corresponding interval, and therefore provides a combined measure of the instantaneous damage (i.e., absolute value of the number of infected nodes) and the corresponding interval that the damage takes place.…”

Section: Evaluation Metrics and Discussionmentioning

confidence: 99%

“…The recovery process is of similar nature, but not necessarily of the same statistical type. Throughout our analysis, following current literature paradigm [8,9,13] , we assume that the arrival process of infections in each link of a legitimate node is Poisson, while the recovery process of each network node is exponentially distributed. We denote by λ i the infection arrival rate of link i and by µ j the recovery rate of node j.…”

Section: System and Network Infection Modelsmentioning

confidence: 99%

“…We denote by λ i the infection arrival rate of link i and by µ j the recovery rate of node j. The described node infection model can be mapped to that of an M/M/1 queue, where an infection corresponds to an arrival that requires service, and the recovery process to the service itself [9,13] .…”

Section: System and Network Infection Modelsmentioning

confidence: 99%

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Malware-Propagative Mobile Ad Hoc Networks: Asymptotic Behavior Analysis

Karyotis

Kakalis

Papavassiliou

2008

J. Comput. Sci. Technol.

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In this paper, the spreading of malicious software over ad hoc networks, where legitimate nodes are prone to propagate the infections they receive from either an attacker or their already infected neighbors, is analyzed. Considering the Susceptible-Infected-Susceptible (SIS) node infection paradigm we propose a probabilistic model, on the basis of the theory of closed queuing networks, that aims at describing the aggregated behavior of the system when attacked by malicious nodes. Because of its nature, the model is also able to deal more effectively with the stochastic behavior of attackers and the inherent probabilistic nature of the wireless environment. The proposed model is able to describe accurately the asymptotic behavior of malware-propagative large scale ad hoc networking environments. Using the Norton equivalent of the closed queuing network, we obtain analytical results for its steady state behavior, which in turn is used for identifying the critical parameters affecting the operation of the network. Finally, through modeling and simulation, some additional numerical results are obtained with respect to the behavior of the system when multiple attackers are present, and regarding the time-dependent evolution and impact of an attack.

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Section: Evaluation Metrics and Discussionmentioning

confidence: 99%

Section: System and Network Infection Modelsmentioning

confidence: 99%

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Malware-Propagative Mobile Ad Hoc Networks: Asymptotic Behavior Analysis

Karyotis

Kakalis

Papavassiliou

2008

J. Comput. Sci. Technol.

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“…A similar approach, Ariadne [94], has been proposed for end-to-end authentication based on shared key pairs. Karyotis et al [95] performed a vulnerability analysis of wireless ad hoc networks through a probabilistic model. They evaluated various strategies used by attackers to launch different attacks and used simulations to analyze the impact of an attack.…”

Section: ) Other Intrusion Detection Proposalsmentioning

confidence: 99%

A Survey of MANET Intrusion Detection & Prevention Approaches for Network Layer Attacks

Nadeem¹,

Howarth

2013

IEEE Commun. Surv. Tutorials

196

108

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Abstract-In the last decade, mobile ad hoc networks (MANETs) have emerged as a major next generation wireless networking technology. However, MANETs are vulnerable to various attacks at all layers, including in particular the network layer, because the design of most MANET routing protocols assumes that there is no malicious intruder node in the network. In this paper, we present a survey of the main types of attack at the network layer, and we then review intrusion detection and protection mechanisms that have been proposed in the literature. We classify these mechanisms as either point detection algorithms that deal with a single type of attack, or as intrusion detection systems (IDSs) that can deal with a range of attacks. A comparison of the proposed protection mechanisms is also included in this paper. Finally, we identify areas where further research could focus.Index Terms-Intrusion detection and prevention, mobile ad hoc networks, network layer attacks, securing ad hoc networks.

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“…Karyotis et.al. [17] have designed a novel framework mobile attach strategy modeling and vulnerability analysis in wireless ad hoc networks.…”

Section: Security Protocolsmentioning

confidence: 99%

A Novel Algorithm HSHA to Secure Wireless Ad hoc Network

Patel¹,

Kumar²,

Kansara³

2012

IJAIS

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Ad hoc networks are a new wireless networking paradigm for mobile hosts. Unlike traditional mobile wireless networks, ad hoc networks do not rely on any fixed infrastructure. Instead, hosts rely on each other to keep the network connected. The military tactical and other security-sensitive operations are still the main applications of ad hoc networks, although there is a trend to adopt ad hoc networks for commercial uses due to their unique properties. One main challenge in design of these networks is their vulnerability to security attacks. Here we study the threats an ad hoc network faces and the security goals to be achieved. We identify the new challenges and opportunities posed by this new networking environment and explore new approaches to secure its communication. In particular, we take advantage of the inherent redundancy in ad hoc networks -multiple routes between nodes -to defend routing against denial of service attacks. We use replication and new cryptographic schemes, such as HSHA Key cryptography, to build a highly secure and highly available key management service, which forms the core of our security framework. It helps the network to let the intruder cannot access the packet without the proper authentication. Unauthorized user cannot access the packet. There are various consequences of this algorithm.

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A novel framework for mobile attack strategy modelling and vulnerability analysis in wireless ad hoc networks

Cited by 25 publications

References 14 publications

Malware-Propagative Mobile Ad Hoc Networks: Asymptotic Behavior Analysis

Malware-Propagative Mobile Ad Hoc Networks: Asymptotic Behavior Analysis

A Survey of MANET Intrusion Detection & Prevention Approaches for Network Layer Attacks

A Novel Algorithm HSHA to Secure Wireless Ad hoc Network

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