Trust management systems for wireless sensor networks: Best practices

López, Javier; Román, Rodrigo; Agudo, Isaac; Fernández-Gago, Carmen

doi:10.1016/j.comcom.2010.02.006

Cited by 195 publications

(121 citation statements)

References 21 publications

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“…A neighboring node behavior monitoring approach for trust evaluation through a direct observation procedures is proposed in [25]. It describes the malicious behavior of a node depends on the number of packets forwarded for on receiving from the neighboring nodes.…”

Section: Trust-based Security Approachesmentioning

confidence: 99%

A Reliable Trustworthy Approach Based on Node Behavior Prediction for Secure Routing in MANET

Sridevi¹,

Mandapati²

2017

IJIES

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An unstructured version of a traditional wireless network provides a mobile ad hoc network (MANET) that is well suited for emergencies. However, due to lack of infrastructure and resource limitations, many performance problems occur at the same time. High-security vulnerabilities are likely to arise, largely because of dynamic behavior, and the complete communication cycle dependent on unidentified nodes which join and leaves as they want. Several past security schemes studies suggested that reliable and trusted nodes can minimize communication overhead and achieve higher throughput. This kind of scheme affects the route chosen for communication because it cannot distinguish between intentional and unintentional errors at runtime. It is, therefore, important to categorize node activities and also provide a node recovery scheme to regain their original reliability for the genuine nodes. In this paper, we propose a Reliable Trustworthy Approach (RTA) based on node behavior prediction for secure routing. It presents a behavior prediction algorithm for recognizing node behavior by differentiating among the unintentional transient errors and intentional malicious behavior, and the RTA mechanism which provides a method for node trust computation and a method for trust recovery. Experiment results show throughput improvisation against the malicious node intrusion. With increasing, malicious nodes in network RTA mechanism effectively predicted with an optimal packet loss and delay it attained prove the effectiveness of the mechanism.

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Section: Trust-based Security Approachesmentioning

confidence: 99%

A Reliable Trustworthy Approach Based on Node Behavior Prediction for Secure Routing in MANET

Sridevi¹,

Mandapati²

2017

IJIES

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“…[Lopez et al 2010;Özdemir and Xiao 2009;Sang et al 2006]). However, they focus on attacks conducted through the network layer, while malicious data injections are given little attention.…”

Section: Related Surveysmentioning

confidence: 99%

Detecting Malicious Data Injections in Wireless Sensor Networks

Illiano

Lupu

2015

ACM Comput. Surv.

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Wireless Sensor Networks are widely advocated to monitor environmental parameters, structural integrity of the built environment and use of urban spaces, services and utilities. However, embedded sensors are vulnerable to compromise by external actors through malware but also through their wireless and physical interfaces. Compromised sensors can be made to report false measurements with the aim to produce inappropriate and potentially dangerous responses. Such malicious data injections can be particularly difficult to detect if multiple sensors have been compromised as they could emulate plausible sensor behaviour such as failures or detection of events where none occur. This survey reviews the related work on malicious data injection in wireless sensor networks, derives general principles and a classification of approaches within this domain, compares related studies and identifies areas that require further investigation.

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“…First of all, by evaluating and storing the reputation ("what is generally said or believed about a person or the character or standing of a thing") of other members, it is possible to calculate how much those members can be trusted ("the firm belief in the reliability or truth or strength of an entity") to perform a particular task [9] . Secondly, just as the content mentioned above, the trust relation between the service providers and users involves the problems of taking risks under uncertainties, and behavior expectation and prediction.…”

Section: Basic Trust Theorymentioning

confidence: 99%

A multi-dimensional trust-aware cloud service selection mechanism based on evidential reasoning approach

Fan

Yang

Perros

et al. 2014

Int. J. Autom. Comput.

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Abstract:In the last few years, cloud computing as a new computing paradigm has gone through significant development, but it is also facing many problems. One of them is the cloud service selection problem. As increasingly boosting cloud services are offered through the internet and some of them may be not reliable or even malicious, how to select trustworthy cloud services for cloud users is a big challenge. In this paper, we propose a multi-dimensional trust-aware cloud service selection mechanism based on evidential reasoning (ER) approach that integrates both perception-based trust value and reputation based trust value, which are derived from direct and indirect trust evidence respectively, to identify trustworthy services. Here, multi-dimensional trust evidence, which reflects the trustworthiness of cloud services from different aspects, is elicited in the form of historical users feedback ratings. Then, the ER approach is applied to aggregate the multi-dimensional trust ratings to obtain the real-time trust value and select the most trustworthy cloud service of certain type for the active users. Finally, the fresh feedback from the active users will update the trust evidence for other service users in the future.

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Trust management systems for wireless sensor networks: Best practices

Cited by 195 publications

References 21 publications

A Reliable Trustworthy Approach Based on Node Behavior Prediction for Secure Routing in MANET

A Reliable Trustworthy Approach Based on Node Behavior Prediction for Secure Routing in MANET

Detecting Malicious Data Injections in Wireless Sensor Networks

A multi-dimensional trust-aware cloud service selection mechanism based on evidential reasoning approach

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