Featuring Trust and Reputation Management Systems for Constrained Hardware Devices

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

doi:10.4108/icst.autonomics2007.2260

Cited by 9 publications

(6 citation statements)

References 26 publications

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“…The results are presented in Figs. 10,11,12 and are similar to sinkhole. Unlike in sinkhole, the analysis to detect selective forwarding attack is performed over five rounds by the mobile-node.…”

Section: Simulation Resultsmentioning

confidence: 77%

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Dynamic camouflage event based malicious node detection architecture

2010

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Compromised sensor nodes may collude to segregate a specific region of the sensor network preventing event reporting packets in this region from reaching the basestation. Additionally, they can cause skepticism over all data collected. Identifying and segregating such compromised nodes while identifying the type of attack with a certain confidence level is critical to the smooth functioning of a sensor network. Existing work specializes in preventing or identifying a specific type of attack and lacks a unified architecture to identify multiple attack types. Dynamic Camouflage Event-Based Malicious Node Detection Architecture (D-CENDA) is a proactive architecture that uses camouflage events generated by mobile-nodes to detect malicious nodes while identifying the type of attack. We exploit the spatial and temporal information of camouflage event while analyzing the packets to identify malicious activity. We have simulated D-CENDA to compare its performance with other techniques that provide protection against individual attack types and the results show marked improvement in malicious node detection while having significantly less false positive rate. Moreover, D-CENDA can identify the type of attack and is flexible to be configured to include other attack types in future.

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Section: Simulation Resultsmentioning

confidence: 77%

“…the onus of identifying such mal-intent is left to the sensor nodes. There have been numerous reputation-based systems, which use this methodology attempting to solve the problem of intrusion detection and mal-behavior detection of sensor nodes [2,3,11]. Krontiris et al design an IDS to detect specifically sinkhole attacks [5].…”

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confidence: 99%

Dynamic camouflage event based malicious node detection architecture

2010

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“…The honesty issue has been recognized in ubiquitous systems and is labeled as extremely important property of any trust management system for ubiquitous applications [8,19,23]. Because of subverted nodes, other nodes are faced with the problem of distinguishing honest from dishonest recommendations.…”

Section: Honesty Filteringmentioning

confidence: 99%

Feedback behavior and its role in trust assessment for peer-to-peer systems

Azzedin

Ridha

2010

Telecommun Syst

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One of the significant characteristics of ubiquitous environments is the need for trust management due to the vital role trust plays in the success of such environments. Recommenders constitute an important component for managing trust because they can corrupt the recommendation network by providing bogus feedback resulting in losing transactions with trustworthy nodes and committing transactions with untrustworthy nodes. Honesty checking schemes, assume that a recommender is consistent and thus does not change its recommendation behavior. In this paper, we shed light on the inconsistent recommenders' behavior. That is, recommenders change their recommendation strategy. To the best of our knowledge, this is the first attempt at linking the behavior change to honesty checking. We propose a new honesty checking algorithm and show through extensive simulation experiments its performance compared to existing honesty checking algorithms.

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“…In turn, trust and reputation management has captured the attention of several research groups from both industry and academia in the recent years, leading to a current solid as well as promising research field.…”

Section: Introductionmentioning

confidence: 99%

Reputation‐based Web service orchestration in cloud computing: A survey

Mármol¹,

Kuhnen²

2013

Concurrency and Computation

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Cloud computing is no longer the future but the present. Every day, more and more companies and service providers transfer their businesses and operations to the cloud, benefiting from its multiple advantages. Moreover, the flexibility offered by many cloud services allows to easily build sophisticated services by just composing simpler ones, rather than creating them from zero. Yet, to mitigate potential security threats and keep the maximum performance at any time, a smart selection of those composite services constitutes a key aspect. In this paper, we introduce the reader to the problem of Web service selection based on their reputation scores and subsequently present a survey on some of the most relevant reputation-based Web service orchestration schemes for cloud computing in the literature. For each one of these approaches, a thorough analysis of their pros and cons has been performed, providing a comprehensive comparison amongst all of them leading to the conclusion that, to the best of our knowledge, there is no one single model elegantly fitting to each and every situation that could occur in such a dynamic environment like cloud computing. Finally, we present some current challenges and future research trends in the field of reputation-based service orchestration in cloud computing.Yet, to create a successful composite service, such as when building a puzzle, the correct pieces need to be chosen. For one or another reason (failure, malware, exhausted resources, etc), the individual services composing the bigger one might unexpectedly change their behaviour throughout time [10,11], degrading their performance (and, in turn, the performance of the composite service) or even constituting a security threat or breach. Therefore, it is a wise strategy not to base a composite service on fixed simpler ones, but rather making the latter replaceable whenever needed in order to keep always the maximum performance and level of assurance.Trust and reputation management has emerged in the last years as a smart and accurate solution to tackle these issues [12][13][14][15]. Actually those systems have been widely accepted and deployed, finding them in a multitude of different environments and scenarios [16,17]. This appealing area of knowledge has captured the attention of both industry and academia, leading to several successful products [13] and patents [18][19][20][21][22][23].In this paper, we performed a survey of some of the main research approaches dealing with the problem of reputation-based Web service (WS) orchestration for cloud computing environments. We described each of those solutions, thoroughly analysing their advantages and shortcomings. Moreover, a comprehensive comparative amongst them led us to the conclusion that none of the studied models gracefully fits to each and every situation that could emerge in a highly dynamic environment such as cloud computing. Finally, we also studied some current research challenges, as well as future trends in the field of reputation-based service orchestration in ...

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Featuring Trust and Reputation Management Systems for Constrained Hardware Devices

Cited by 9 publications

References 26 publications

Dynamic camouflage event based malicious node detection architecture

Dynamic camouflage event based malicious node detection architecture

Feedback behavior and its role in trust assessment for peer-to-peer systems

Reputation‐based Web service orchestration in cloud computing: A survey

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