A Privacy Preserving Prediction-based Routing Protocol for Mobile Delay Tolerant Networks

Hasan, Omar; Miao, Jingwei; Mokhtar, Sonia Ben; Brunie, Lionel

doi:10.1109/aina.2013.6

Cited by 8 publications

(4 citation statements)

References 29 publications

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“…Concerning the second point, we agree on that events can only be used if they are trustable: a possible solution to tackle this point may be the definition of a social filter to evaluate the event providers and the events themselves [15] [16]. This social filter operates on a social network of services to compute the strength of the relationships between them through a trust interference algorithm.…”

Section: Resultsmentioning

confidence: 99%

A Platform for Event-Driven Agility of Processes: A Delivery Context Use-Case

Barthe‐Delanoë

Lauras

Truptil

et al. 2013

IFIP Advances in Information and Communication Technology

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Abstract. The French SocEDA project aims at providing a Service Oriented Architecture (SOA) platform for dynamic and complex event-driven interactions between large highly distributed and heterogeneous service systems. This platform should be able to combine a publish/subscribe mechanism (to collect events coming from heterogeneous and distributed services) with complex event processing of these collected events in order to detect interesting situations a service should react on. The SocEDA platform should also offer suggestions about relevant changes (adaptation) to do in running processes and services. The context of city logistics is chosen to show some of the basic abilities of the SocEDA platform and the relevance of event management in everyday situations.

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Section: Resultsmentioning

confidence: 99%

A Platform for Event-Driven Agility of Processes: A Delivery Context Use-Case

Barthe‐Delanoë

Lauras

Truptil

et al. 2013

IFIP Advances in Information and Communication Technology

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“…3PR [69], is a communication privacy-preserving scheme that uses machine learning techniques to learn user's mobility patterns to predict their future routes and uses those predicted routes to route message. This is done by calculating the maximum likelihood of a node encountering the destination, and then, these likelihood values are hidden from other nodes within and outside the community.…”

Section: ) Privacy Enhancing Schemesmentioning

confidence: 99%

A Survey on Privacy Issues in Mobile Social Networks

Sai

2020

IEEE Access

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Mobile Social Networks (MSNs) are a category of social networks that have features of both traditional OSNs and Location-Based Social Networks (LBSNs). MSNs provide users with an opportunity to explore social media, connect with people nearby, or with those sharing similar interests. The ease with which people can connect and use these networks to obtain information, share user-centric data, and request services on the go through their mobile devices as long as they have access to the internet has made MSNs omnipresent. Due to the widespread nature of MSNs and the lack of effective privacy-preserving architecture makes them a target for several attacks by adversaries and the users of the networks are completely vulnerable to these privacy breaches. With the advancements in technology, the number of attacks and their possible solutions is complex and expansive. Therefore, there is a need to properly categorize them to understand the intricacies of different attacks and the concepts used by researchers to devise different solutions. This survey on privacy issues in MSNs serves as a way to provide an introduction to MSNs. We categorize privacy in MSN on the basis of the aspect they effect and summarize the different threats in each category. Furthermore, we provide an elaborate classification of the various privacy-preserving solutions proposed in recent research works, under each category of privacy. We also review different datasets and data generation tools that can be used by future researchers in this field.

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“…In our evaluation, we adopt the community-based mobility model proposed in [37], which has been widely utilized for the evaluation of community-based routing protocols [38,16]. In this mobility model, each community is associated with a geographical area.…”

Section: Mobility Modelmentioning

confidence: 99%

A delay and cost balancing protocol for message routing in mobile delay tolerant networks

Miao¹,

Hasan²,

Mokhtar³

et al. 2015

Ad Hoc Networks

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The increasing pervasiveness of mobile devices with networking capabilities has led to the emergence of Mobile Delay Tolerant Networks (MDTNs). The characteristics of MDTNs, which include frequent and long-term partitions, make message routing a major challenge in these networks. Most of the existing routing protocols either allocate an unlimited number of message copies or use a fixed number of message copies to route a message towards its destination. While the first approach unnecessarily floods the network, the rigidity of the second approach makes it inefficient from the viewpoint of message replication. Hence, the question that we address in this paper is: "how to dynamically allocate message copies in order to strike a balance between the delay and cost of message delivery?". We present a novel adaptive multi-step routing protocol for MDTNs. In each routing step, our protocol reasons on the remaining time-tolive of the message in order to allocate the minimum number of copies necessary to achieve a given delivery probability. Experiment results demonstrate that our protocol has a higher delivery ratio and a lower delivery cost compared to the state-of-the-art Spray-and-Wait and Bubble protocols.

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A Privacy Preserving Prediction-based Routing Protocol for Mobile Delay Tolerant Networks

Cited by 8 publications

References 29 publications

A Platform for Event-Driven Agility of Processes: A Delivery Context Use-Case

A Platform for Event-Driven Agility of Processes: A Delivery Context Use-Case

A Survey on Privacy Issues in Mobile Social Networks

A delay and cost balancing protocol for message routing in mobile delay tolerant networks

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