The Practical OPNET User Guide for Computer Network Simulation

Sethi, Adarshpal S.; Hnatyshin, Vasil

doi:10.1201/b12515

Cited by 78 publications

(36 citation statements)

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“…A very wide variety of simulation tools are available like NS-2, OPNET [19], Glomosim, QualNet, OMNet++ etc. OPNET is used in this simulation study which provides better results with accuracy and supports with a user friendly GUI interface on Windows platform.…”

Section: Implementation Methodologymentioning

confidence: 99%

Mitigating Malicious Attacks Using Trust Based Secure-BEFORE Routing Strategy in Mobile Ad Hoc Networks

Shah¹,

Subramaniam²,

Dasarathan³

2016

CIT. J. comput. inf. technol.

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Mobile ad hoc Networks (MANET), being infrastructureless and dynamic in nature, are predominantly susceptible to attacks such as black hole, worm hole, cunning gray hole attack at source or destination. Various solutions have been put forth so far in literature in order to mitigate the effects of these attacks on the network performance and to improve the reliability of the network. However, these attacks are still prominently a serious threat in MANET. Hence, a trust based routing strategy termed Secure-BEFORE routing (BEst FOrwarding Route Estimation) is proposed to ensure optimal route estimation in computing the trust value and hop counts using the dummy packets inside the network at 1-hop level. It is observed that the overall performance of the network is improved in providing one-hop level security by maintaining the packet equivalence ratio. Malicious and suspicious nodes are isolated and eliminated from the network, based on their behavior. ACM CCS (2012) Classification:Security and privacy → Network security → Mobile and wireless security

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Section: Implementation Methodologymentioning

confidence: 99%

Mitigating Malicious Attacks Using Trust Based Secure-BEFORE Routing Strategy in Mobile Ad Hoc Networks

Shah¹,

Subramaniam²,

Dasarathan³

2016

CIT. J. comput. inf. technol.

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“…The OPNET [21] We adopt the MCC-based query system for electronic medical records as the simulation scenario. In the scenario, a mobile client requesting electronic medical records first connects to a BTS, which accesses the mesh backbone via the mesh router.…”

Section: Performance Evaluationmentioning

confidence: 99%

Toward better data veracity in mobile cloud computing: A context-aware and incentive-based reputation mechanism

Lin

Tian

et al. 2017

Information Sciences

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Abstract:As a promising next-generation computing paradigm, Mobile Cloud Computing (MCC) enables the large-scale collection and big data processing of personal private data. An important but often overlooked V of big data is data veracity, which ensures that the data used are trusted, authentic, accurate and protected from unauthorized access and modification. In order to realize the veracity of data in MCC, specific trust models and approaches must be developed. In this paper, a Category-based Context-aware and Recommendation incentive-based reputation Mechanism (CCRM) is proposed to defend against internal attacks and enhance data veracity in MCC. In the CCRM, innovative methods, including a data category and context sensing technology, a security relevance evaluation model, and a Vickrey-Clark-Groves (VCG)-based recommendation incentive scheme, are integrated into the process of reputation evaluation. Cost analysis indicates that the CCRM has a linear communication and computation complexity. Simulation results demonstrate the superior performance of the CCRM compared to existing reputation mechanisms under internal collusion attacks and bad mouthing attacks.

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“…Since the endto-end delays of PMU packets from the source applicatio n layer to destination application layer are required in order to accurately model PMU, traffic custom applications were defined. In OPNET, all custom applications are defined through a series of tasks [18]. Therefore, two tasks were configured by using the Task Config utility object in OPNET that represent traffic associated with the two types of PMUs that exist in the model.…”

Section: Network Simulationmentioning

confidence: 99%

Performance evaluation of MPLS-enabled communications infrastructure for wide area monitoring systems

Golshani

Taylor

Ashton

2015

11th IET International Conference on AC and DC Power Transmission

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In order to obtain the transient power system measurement information, Wide Area Monitoring Systems (WAMS) should be able to collect Phasor Measurement Unit (PMU) data in a timely manner. Therefore along with the continual deployment of PMUs in Great Britain (GB) transmission system substations, a high performance communications infrastructure is becoming essential with regard to the establishment of reliable WAMS. This paper focuses mainly on evaluating the performance of the real-time WAMS communication infrastructure when Multi-Protocol Label Switching (MPLS) capability is added to a conventional IP network.Furthermore, PMU communications from geographically distributed substations to a Phasor Data Concentrator (PDC) are investigated over different transport protocols. Using OPNET Modeler, simulations are performed based on the existing WAMS infrastructure as installed on the GB transmission system. The simulation results are analyzed in detail in order to fully determine the different characteristics of communication delays between PMUs and PDC.

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The Practical OPNET User Guide for Computer Network Simulation

Cited by 78 publications

References 0 publications

Mitigating Malicious Attacks Using Trust Based Secure-BEFORE Routing Strategy in Mobile Ad Hoc Networks

Mitigating Malicious Attacks Using Trust Based Secure-BEFORE Routing Strategy in Mobile Ad Hoc Networks

Toward better data veracity in mobile cloud computing: A context-aware and incentive-based reputation mechanism

Performance evaluation of MPLS-enabled communications infrastructure for wide area monitoring systems

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