Trust-Based Content Distribution for Mobile Ad Hoc Networks

Djatmiko, Mentari; Boreli, Roksana; Seneviratne, Aruna; Ries, Sebastian

doi:10.1109/mascots.2011.48

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…This paper proposed an adaptive FANET routing protocol based on a cleaning system to use Network Simulator 2 (NS-2) for simulation and quality of service (QoS) to validate the adaptive FANET protocol, and evaluate it based on the quality of the experience. With the emergence of the Ad Hoc Flying Network (FANET) created new valueadded services 10 . The proposed mechanism is based on the central gravity positioning technique, which uses fuzzy logic to calculate the position of the unknown node of the UAV 11 .…”

Section: Security Challenges In Fanetmentioning

confidence: 99%

Secure malicious node detection in flying ad-hoc networks using enhanced AODV algorithm

Chandrasekar,

Shanmugavalli,

Mahesh

et al. 2024

Sci Rep

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In wireless networking, the security of flying ad hoc networks (FANETs) is a major issue, and the use of drones is growing every day. A distributed network is created by a drone network in which nodes can enter and exit the network at any time. Because malicious nodes generate bogus identifiers, FANET is unstable. In this research study, we proposed a threat detection method for detecting malicious nodes in the network. The proposed method is found to be most effective compared to other methods. Malicious nodes fill the network with false information, thereby reducing network performance. The secure ad hoc on-demand distance vector (AODV) that has been suggested algorithm is used for detecting and isolating a malicious node in FANET. In addition, because temporary flying nodes are vulnerable to attacks, trust models based on direct or indirect reliability similar to trusted neighbors have been incorporated to overcome the vulnerability of malicious/selfish harassment. A node belonging to the malicious node class is disconnected from the network and is not used to forward or forward another message. The FANET security performance is measured by throughput, packet loss and routing overhead with the conventional algorithms of AODV (TAODV) and reliable AODV secure AODV power consumption decreased by 16.5%, efficiency increased by 7.4%, and packet delivery rate decreased by 9.1% when compared to the second ranking method. Reduced packet losses and routing expenses by 9.4%. In general, the results demonstrate that, in terms of energy consumption, throughput, delivered packet rate, the number of lost packets, and routing overhead, the proposed secure AODV algorithm performs better than the most recent, cutting-edge algorithms.

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Section: Security Challenges In Fanetmentioning

confidence: 99%

Secure malicious node detection in flying ad-hoc networks using enhanced AODV algorithm

Chandrasekar,

Shanmugavalli,

Mahesh

et al. 2024

Sci Rep

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“…This approach is more appropriate as the trust on a node ends up unverifiable with time until the point when it is refreshed straightaway. Mentari Djatmiko et al [1] proposed a novel probabilistic node choice model which gives a heap adjusting inside the number of inhabitants in nodes. Thus, a node's likelihood for being chosen for a cooperation will relate to its trust esteem.…”

Section: Literature Reviewmentioning

confidence: 99%

Enhancement of Security in Flying AD-HOC Network Using a Trust Based Routing Mechanism

Sharma¹,

Jameel²

2019

IJITEE

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Security is one of the most vital aspect for implementing FANETs in adverse environments. Hence, research in this area has emerged as an important FANETs field in the recent past. Compared to wired networks, FANETs are more vulnerable to security attacks due to lack of a trusted centralized authority and easy eavesdropping. Further, as nodes in flying ad-hoc networks are susceptible to attacks, a trust model based on direct, as well as indirect trust degrees from similar trusted neighbors is integrated in order to overcome the vulnerability due to attacks by malicious/selfish nodes and to provide reliable packet transmissions. Fading away of trust is incorporated with a perspective to ensure the uncertainty of trust with time until it is updated. Also, AODV algorithm is used for routing in combination with calculated trust values so that efficient transmission of messages can take place.

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A trust value-based scheme for efficient contents sharing over mobile P2P networks

Kim

2015

J Supercomput

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Trust-Based Content Distribution for Mobile Ad Hoc Networks

Cited by 3 publications

References 8 publications

Secure malicious node detection in flying ad-hoc networks using enhanced AODV algorithm

Secure malicious node detection in flying ad-hoc networks using enhanced AODV algorithm

Enhancement of Security in Flying AD-HOC Network Using a Trust Based Routing Mechanism

A trust value-based scheme for efficient contents sharing over mobile P2P networks

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