Trusted spanning trees for Delay Tolerant Mobile Ad Hoc Networks

Piyatumrong, Apivadee; Bouvry, Pascal; Guinand, Frédéric; Lavangnananda, Kittichai

doi:10.1109/smcia.2008.5045948

Cited by 8 publications

(5 citation statements)

References 15 publications

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“…Notably, an observable characteristic, namely authority, can be regarded as a simple criterion for making a judgment regarding trustworthy under complex social conditions [109]. In prior studies, authority has usually been used to assess people's reliability [110].…”

Section: Hypothesis 2bmentioning

confidence: 99%

Understanding the Impact of Opinion Leaders’ Characteristics on Online Group Knowledge-Sharing Engagement from In-Group and Out-Group Perspectives: Evidence from a Chinese Online Knowledge-Sharing Community

Liu

Zhang

et al. 2019

Sustainability

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Opinion leaders often play key roles in online knowledge-sharing communities, which has intrigued a lot of researchers and practitioners worldwide. However, it is not clear how various characteristics of opinion leaders may affect different online groups’ knowledge-sharing engagement. This paper aims to answer this question by building upon social capital theory to examine the differential influences of opinion leaders’ characteristics (interactivity, authority, and activity) on online groups. In-groups and out-groups were distinguished, and the study used the context of an investment-oriented online knowledge-sharing community. By leveraging a unique aggregated group-level secondhand dataset collected from Snowball.com, we conducted log-linear and Poisson regression models. The results revealed that the intensity of online group knowledge-sharing engagement was heavily contingent upon the types of characteristics of opinion leaders. We found that in-group knowledge-sharing engagement (generating new knowledge) was driven by an opinion leader’s interactivity and authority, whereas out-group knowledge-sharing engagement (developing new members) could not be facilitated by these types of characteristics. Instead, the opinion leader’s activity hindered out-group users from joining in-groups. The study also identified a “mutual promotion” issue, which was generated from the association between in-group and out-group knowledge-sharing engagement.

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Section: Hypothesis 2bmentioning

confidence: 99%

Understanding the Impact of Opinion Leaders’ Characteristics on Online Group Knowledge-Sharing Engagement from In-Group and Out-Group Perspectives: Evidence from a Chinese Online Knowledge-Sharing Community

Liu

Zhang

et al. 2019

Sustainability

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“…[4] proposed trust-based secure routing protocols in malicious DTNs. [18] proposed spanning tree algorithms for trust management in DTNs. However, both assumed that trust is already in place.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Trust Management for Delay Tolerant Networks and Its Application to Secure Routing

Chen¹,

Bao²,

Chang³

et al. 2012

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The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Delay tolerant networks (DTNs) are characterized by high end-to-end latency, frequent disconnection, and opportunistic communication over unreliable wireless links. In this paper, we design and validate a dynamic trust management protocol for secure routing optimization in DTN environments in the presence of well-behaved, selfish and malicious nodes. We develop a novel model-based methodology based on Stochastic Petri Net (SPN) techniques for the analysis of our trust protocol and validate it via extensive simulation. Moreover, we address ABSTRACTDelay tolerant networks (DTNs) are characterized by high end-to-end latency, frequent disconnection, and opportunistic communication over unreliable wireless links. In this paper, we design and validate a dynamic trust management protocol for secure routing optimization in DTN environments in the presence of well-behaved, selfish and malicious nodes. We develop a novel model-based methodology based on Stochastic Petri Net (SPN) techniques for the analysis of our trust protocol and validate it via extensive simulation. Moreover, we address dynamic trust management, i.e., determining and applying the best operational settings at runtime in response to dynamically changing network conditions to minimize trust bias and to maximize the routing application performance. We perform a comparative analysis of our proposed routing protocol against existing trust-based (SReD) and non-trust based (PROPHET and epidemic) protocols. The results demonstrate that our protocol is able to deal with selfish behaviors and is resilient against trust-related attacks. Furthermore, our trust-based routing protocol can effectively trade off message overhead and message delay for a significant gain in delivery ratio. Our trust-based routing protocol operating under identified best settings outperforms SReD and PROPHET, and approaches the ideal performance of epidemic routing in delivery ratio and message delay without incurring high message or protocol maintenance overhead.(a) Papers published in peer-reviewed journals (N/A for none)Enter List of papers submitted or published that acknowledge ARO support from the start of the project to the date of this printing. List the papers, including journal references, in the following categories:

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“…The messages generated from one source are transmitted to many or group of recipients [10,11,12,13]. To meet the goals of reliability, scalability and to minimize the goal of end-to-end delay the minimum spanning tree for broadcasting has been used in these proposals.…”

Section: Introductionmentioning

confidence: 99%

Learning Automata Based Contention Aware Data Forwarding Scheme for Safety Applications in Vehicular Ad Hoc Networks

Kumar

Iqbal

James

et al. 2013

2013 IEEE 10th International Conference on E-Business Engineering

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With an exponential growth of demands of the users to access various resources during mobility lead to the popularity of Vehicular Ad Hoc Networks (VANETs). Users may access various resources from cloud which consists of many resources for the ease of users. VANETs have been used in wide range of applications such as Intelligent Transport Systems (ITS), Safety alarms on roads/in community, online resource access using Internet connectivity etc. Among these applications, safety applications are most important and various proposals exist in literature for the same. But most of the existing proposals have used unicast sender based data forwarding which results an overall performance degradation with respect to the metrics such as packet delivery ratio, end-to-end delay and reliable data transmission. Keeping in view of the above, in this paper, we propose new Learning Automata based Contention Aware Data forwarding scheme for VANETs using cloud infrastructure. Learning Automata (LAs) are assumed to be located in the vehicles which share the information (such as vehicles density, directions of the vehicles or vehicles velocity etc) with the other LAs for taking the adaptive decisions about data forwarding. Based upon these values, automaton performs its action. Corresponding to each action performed by the automaton, its action may be rewarded or penalized by some constant values from the environment where it is working. Based upon the inputs from the environment, each automaton updates its action probability values for the next rounds. An adaptive Learning Automata based Contention Aware Data Forwarding (LACADF) algorithm is also proposed. The proposed scheme is evaluated with respect to different network parameters such as message overhead, throughput, delay etc. with varying density and mobility of the vehicles. The results obtained show that the proposed scheme is better than the other conventional schemes with respect to the above metrics.

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Trusted spanning trees for Delay Tolerant Mobile Ad Hoc Networks

Cited by 8 publications

References 15 publications

Understanding the Impact of Opinion Leaders’ Characteristics on Online Group Knowledge-Sharing Engagement from In-Group and Out-Group Perspectives: Evidence from a Chinese Online Knowledge-Sharing Community

Understanding the Impact of Opinion Leaders’ Characteristics on Online Group Knowledge-Sharing Engagement from In-Group and Out-Group Perspectives: Evidence from a Chinese Online Knowledge-Sharing Community

Dynamic Trust Management for Delay Tolerant Networks and Its Application to Secure Routing

Learning Automata Based Contention Aware Data Forwarding Scheme for Safety Applications in Vehicular Ad Hoc Networks

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