Modelling and performance analysis of multi-hop ad hoc networks

Younes, Osama; Thomas, Nigel

doi:10.1016/j.simpat.2013.06.005

Cited by 14 publications

(10 citation statements)

References 25 publications

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“…To compute the average firing rate of transitions T C and T TO used in the AHA model and transitions T R and T UT used in OHD model, the fixed point iteration technique is used . For more information about how to use this technique to compute the firing time of transitions, the reader is referred to the literature . The AHA model and OHD model are solved iteratively using the fixed point iteration as follows: The OHD model is solved to compute the firing rate of transitions T C and T TO used in the AHA model. The AHA model is solved using the computed values in step 1, which is used to compute the firing rate of transitions T R and T UT used in the OHD model.…”

Section: Modeling Of Arp‐amentioning

confidence: 99%

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Modeling and performance analysis of a new secure address resolution protocol

Younes

2017

Int J Communication

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SummaryAddress Resolution Protocol (ARP) is an essential protocol for the operation of local area networks. It is used for mapping the logical address to the physical address. However, ARP was designed without any security features. Therefore, ARP is vulnerable to many ARP spoofing attacks, such as the host impersonation, man-in-the-middle (MITM), and denial of service (DoS) attacks. Many techniques were introduced in the literature for mitigating ARP spoofing attack. However, they could not provide protection against the host impersonation and DoS attacks. This work introduces a new technique to secure address resolution protocol called ARP Authentication (ARP-A). The proposed technique provides authentication for ARP messages and entities. In addition, it converts ARP from a stateless to a stateful protocol. To evaluate the performance of ARP-A, it was implemented on Linux. To investigate the scalability of ARP-A, a new analytical model was designed for it using stochastic reward nets. The results show that, compared with other related schemes introduced in the literature, ARP-A is more efficient in terms of security and performance. ARP is a stateless protocol 2 because it does not store the state of the ARP requests. It processes an ARP Reply message whether or not it sent an ARP Request. Due to its stateless property and lack of integrity and authenticity, ARP has some serious inherent security vulnerabilities. The ARP spoofing attack 3 can be performed by transmitting a spoofed ARP Request or Reply in the network. In this attack, the attacker associates his MAC address with the IP address of the victim. So, the traffic destined to the IP address of the victim will instead be forwarded to the attacker. The ARP spoofing attack is a serious security problem that threats LANs. 4 It is usually used to perform other types of LAN attacks, such as the man-in-the-middle (MITM), 5 denial of service (DoS), 6 and host impersonation attacks. 4

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Section: Modeling Of Arp‐amentioning

confidence: 99%

“…32 For more information about how to use this technique to compute the firing time of transitions, the reader is referred to the literature. [33][34][35][36] The AHA model and OHD model are solved iteratively using the fixed point iteration as follows:…”

Section: Modeling Of Arp-amentioning

confidence: 99%

Modeling and performance analysis of a new secure address resolution protocol

Younes

2017

Int J Communication

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“…They have used analysis of traffic loads of different nodes. Younes and Thomas [17] have presented an analytical framework for modeling and analysis of multi-hop ad hoc networks. The proposed framework is used to analyze the performance of multi-hop ad hoc networks as a function of network parameters, such as the transmission range, carrier sensing range, interference range, number of nodes, network area size, packet size, and packet generation rate.…”

Section: Related Workmentioning

confidence: 99%

Modeling and optimization of Quality of Service routing in Mobile Ad hoc Networks

2016

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Mobile ad hoc networks (MANETs) are a group of mobile nodes that are connected without using a fixed infrastructure. In these networks, nodes communicate with each other by forming a single-hop or multi-hop network. To design effective mobile ad hoc networks, it is important to evaluate the performance of multi-hop paths. In this paper, we present a mathematical model for a routing protocol under energy consumption and packet delivery ratio of multi-hop paths. In this model, we use geometric random graphs rather than random graphs. Our proposed model finds effective paths that minimize the energy consumption and maximizes the packet delivery ratio of the network. Validation of the mathematical model is performed through simulation.

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“…So high performance and being in high level of security are essential in this network type. 9,[11][12][13] This technique usually uses various modeling techniques such as Markovian modeling, process algebra, and Petri nets. This also increases the need for performance analysis of this network type versus operations of misbehavior nodes.…”

Section: Introductionmentioning

confidence: 99%

“…Due to the advantages of quick construction, numerical analysis, and the ability of high-level performance evaluation, analytical modeling techniques have been used for performance analysis of communication systems. 9,[11][12][13] This technique usually uses various modeling techniques such as Markovian modeling, process algebra, and Petri nets. Petri nets and its variations are a formal modeling tool, which is used for modeling a parallel, dynamic, asynchronous, and discrete system.…”

Section: Introductionmentioning

confidence: 99%

Misbehavior analysis of IEEE 802.11 MAC layer in mobile ad hoc network using stochastic reward nets

Tabari

Pouyan

2017

Int J Communication

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In this paper, we present a Petri net model for performance evaluation of IEEE 802.11 distributed coordination function as a popular media access control layer protocol in mobile ad hoc network. The goal of this evaluation is to examine this protocol under the existing of misbehavior nodes that selfishly try to grasp common channel in a neighbor area. The presented model consists of 2 separate models based on stochastic reward net (SRN), as a variation of stochastic Petri net. The first model, which is called one node operation model, is supposed for presenting all distributed coordination function operations in a single node such as collision avoidance, request to send/clear to send (RTS/CTS) handshake, and backoff mechanism. The next SRN model, all node operation model, is used for modeling nodes competition for occupying channel in a neighbor area. The models could be adjusted to a dynamic network with any number of nodes, dimension scale, and nodes' speed. For evaluation purpose, 4 distinct attack types implemented by modifying associated transitions in SRN models. The proposed SRN model has been quantified by deriving 2 performances metrics as Throughput and Delay. Both metrics are also compared to the value obtained from NS-2 in terms of different number of nodes and 3 packet generation rates.Three additional metrics measuring the channel usage are also quantified in terms of different attack strategies using only presented SRN model.

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Modelling and performance analysis of multi-hop ad hoc networks

Cited by 14 publications

References 25 publications

Modeling and performance analysis of a new secure address resolution protocol

Modeling and performance analysis of a new secure address resolution protocol

Modeling and optimization of Quality of Service routing in Mobile Ad hoc Networks

Misbehavior analysis of IEEE 802.11 MAC layer in mobile ad hoc network using stochastic reward nets

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