A collaborative trust management scheme for emergency communication using delay tolerant networks

Asuquo, Philip; Cruickshank, Haitham; Ogah, Chibueze P. Anyigor; Lei, Ao; Sun, Zhili

doi:10.1109/asms-spsc.2016.7601469

Cited by 9 publications

(5 citation statements)

References 20 publications

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“…The authors also analyzed the impact of selfish nodes on packet delivery ratio in DTNs. The paper [192] proposed collaborative trust management system which is actually Watch-dog based system to detect malicious node in post disaster scenario. Watch-Dog based system is not very effective in DTNs due to high ratio of false positive.…”

Section: Review Of Literaturementioning

confidence: 99%

A taxonomy on misbehaving nodes in delay tolerant networks

Khalid

Ullah

Ahmed

et al. 2018

Computers & Security

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Delay Tolerant Networks (DTNs) are type of Intermittently Connected Networks (ICNs) featured by long delay, intermittent connectivity, asymmetric data rates and high error rates. DTNs have been primarily developed for InterPlanetary Networks (IPNs), however, have shown promising potential in challenged networks i.e. DakNet, ZebraNet, KioskNet and WiderNet. Due to unique nature of intermittent connectivity and long delay, DTNs face challenges in routing, key management, privacy, fragmentation and misbehaving nodes. Here, misbehaving nodes i.e. malicious and selfish nodes launch various attacks including flood, packet drop and fake packets attack, inevitably overuse scarce resources (e.g., buffer and bandwidth) in DTNs. The focus of this survey is on a review of misbehaving node attacks, and detection algorithms. We firstly classify various of attacks depending on the type of misbehaving nodes. Then, detection algorithms for these misbehaving nodes are categorized depending on preventive and detective based features. The panoramic view on misbehaving nodes and detection algorithms are further analyzed, evaluated mathematically through a number of performance metrics. Future directions guiding this topic are also presented.

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Section: Review Of Literaturementioning

confidence: 99%

A taxonomy on misbehaving nodes in delay tolerant networks

Khalid

Ullah

Ahmed

et al. 2018

Computers & Security

Self Cite

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“…Proposed algorithms do not consider SPDA. Researchers in article [45] proposed "watchdog" based collaborative-trust-management-system, which detects misbehaving nodes in natural disaster scenarios. This research article does not consider SPDA.…”

Section: Review Of Literaturementioning

confidence: 99%

FAPMIC: Fake Packet and Selective Packet Drops Attacks Mitigation by Merkle Hash Tree in Intermittently Connected Networks

et al. 2023

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Delay/Disruption Tolerant Networks (DTNs) are a special category of IntermittentlyCon-nectedNetworks (ICNs). It has features such as long-delay, frequent-disruption, asymmetrical-data-rates, and high-bundle-error-rates. DTNs have been mainly developed for planet-to-planet networks, commonly known as Inter-Planetary-Networks (IPNs). However, DTNs have shown undimmed potency in challenged communication networks, such as DakNet, ZebraNet, KioskNet and WiderNet. Due to unique characteristics (Intermittent-connectivity and long-delay) DTNs face tough/huge/several challenges in various research areas i.e bundle-forwarding, key-distribution, privacy, bundle-fragmentation, and malicious/selfish nodes particularly. Malicious/selfish nodes launch various catastrophic attacks, this includes, fake packet attacks, selective packet drops attacks, and denial-of-service/flood attacks. These attacks inevitably consume limited resources (persistent-buffer and bandwidth) in DTNs. Fake-packet and selective-packet-drops attacks are top among the challenging attacks in ICNs. The focus of this article is on critical analyses of fake-packet and selective-packet-drops attacks. The panoramic view on misbehavior nodes mitigation algorithms are analyzed, and evaluated mathematically through several parameters for detection probability/accuracy. This article presents a novel algorithm to detects/mitigates fake-packet and selective-packet-drops attacks. Trace-driven simulation results show the proposed algorithm of this article accurately (enhanced detectionaccuracy, reduces false-positive/false-negative rates) detects malicious nodes which launch fake-packet and selective-packet-drops attacks, unlike previously proposed algorithms which detect only one attack (fakepacket or packet-drops at a time) or detect only malicious path (do not exactly detect malicious nodes which launch attacks).

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“…The Collaborative Trust Management Scheme (CTMS) [58] is based on the typical MANET watchdog technique, which examines traffic on the network and identifies nodes behaving inappropriately. By counting the packets that each node must receive and computing a trust level for each neighbor node as the ratio of packets forwarded to the ratio of packets relayed to it, a simple watchdog deployment able to run in a node monitors the messages transferred and received by the neighboring nodes.…”

Section: Collaborative Trust Management Schemementioning

confidence: 99%

Performance Evaluation and Comparison of Cooperative Frameworks for IoT-Based VDTN

Rehman¹,

Zubair²,

Aly

et al. 2023

Sustainability

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The term “Internet of Things” (IoT) refers to an architecture in which digital objects have identification, sensing, connectivity, and processing capabilities that allow them to connect with other devices as well as perform tasks on the internet. There are many applications of IoT, among which Vehicle Delay-Tolerant Networks (VDTNs) are one of the best known. This new generation of vehicular networks can be applied in a variety of circumstances. For example, it can be employed to make data connections possible in densely crowded cities and as well as in remote and sparsely populated places with weak connectivity. These environments are characterized by frequent network partitioning, inconsistent connectivity, considerable propagation delays, high error rates, and short contact duration. Most of these behaviours are due to node selfishness. This task is crucial because selfish behaviour by nodes may make other nodes hesitant to cooperate. Selfish nodes have significant negative impacts on the effectiveness and efficiency of the network as a whole. To solve these issues, cooperative strategies that motivate nodes to share their resources must be considered. Important contributions to cooperation for vehicular networks are presented in this article, which investigates the effects of six different cooperative techniques on network performance and makes corresponding suggestions for their use in IoT-based VDTNs. Across all simulations, our results show that the studied strategies are all able to increase overall network performance by improving throughput and packet delivery probability, which in turn reduces average packet delivery time, energy consumption, overhead ratio, and the number of packets dropped.

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A collaborative trust management scheme for emergency communication using delay tolerant networks

Cited by 9 publications

References 20 publications

A taxonomy on misbehaving nodes in delay tolerant networks

A taxonomy on misbehaving nodes in delay tolerant networks

FAPMIC: Fake Packet and Selective Packet Drops Attacks Mitigation by Merkle Hash Tree in Intermittently Connected Networks

Performance Evaluation and Comparison of Cooperative Frameworks for IoT-Based VDTN

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