Reputation attacks detection for effective trust assessment among cloud services

Talal H. Noor; Quan Z. Sheng; Abdullah Alfazi

doi:10.1109/TrustCom.2013.59

Reputation attacks detection for effective trust assessment among cloud services

Talal H. Noor, Quan Z. Sheng, Abdullah Alfazi

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

30 Citations (Scopus)

Abstract

Consumers' feedback is a good source to help assess overall trustworthiness of cloud services. However, it is not unusual that a trust management system experiences malicious behaviors from its users (i.e., collusion or Sybil attacks). In this paper, we propose techniques for the detection of reputation attacks to allow consumers to effectively identify trustworthy cloud services. We introduce a credibility model that not only identifies misleading trust feedbacks from collusion attacks but also detects Sybil attacks, either strategic (in a long period of time) or occasional (in a short period of time). We have collected a large collection of consumer's trust feedbacks given on real-world cloud services (over 10, 000 records) to evaluate and demonstrate the applicability of our approach and show the capability of detecting such malicious behaviors.

Original language	English
Title of host publication	TrustCom 2013
Subtitle of host publication	12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications : proceedings
Place of Publication	New Jersey, USA
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	469-476
Number of pages	8
ISBN (Print)	9780769550220
DOIs	https://doi.org/10.1109/TrustCom.2013.59
Publication status	Published - 2013
Externally published	Yes
Event	12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2013 - Melbourne, VIC, Australia Duration: 16 Jul 2013 → 18 Jul 2013

Other

Other	12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2013
Country/Territory	Australia
City	Melbourne, VIC
Period	16/07/13 → 18/07/13

Keywords

attacks detection
cloud computing
credentials
credibility
privacy
reputation
Trust management

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10.1109/TrustCom.2013.59

Cite this

Noor, T. H., Sheng, Q. Z., & Alfazi, A. (2013). Reputation attacks detection for effective trust assessment among cloud services. In TrustCom 2013: 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications : proceedings (pp. 469-476). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/TrustCom.2013.59

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title = "Reputation attacks detection for effective trust assessment among cloud services",

abstract = "Consumers' feedback is a good source to help assess overall trustworthiness of cloud services. However, it is not unusual that a trust management system experiences malicious behaviors from its users (i.e., collusion or Sybil attacks). In this paper, we propose techniques for the detection of reputation attacks to allow consumers to effectively identify trustworthy cloud services. We introduce a credibility model that not only identifies misleading trust feedbacks from collusion attacks but also detects Sybil attacks, either strategic (in a long period of time) or occasional (in a short period of time). We have collected a large collection of consumer's trust feedbacks given on real-world cloud services (over 10, 000 records) to evaluate and demonstrate the applicability of our approach and show the capability of detecting such malicious behaviors.",

keywords = "attacks detection, cloud computing, credentials, credibility, privacy, reputation, Trust management",

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year = "2013",

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booktitle = "TrustCom 2013",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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Noor, TH, Sheng, QZ & Alfazi, A 2013, Reputation attacks detection for effective trust assessment among cloud services. in TrustCom 2013: 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications : proceedings. Institute of Electrical and Electronics Engineers (IEEE), New Jersey, USA, pp. 469-476, 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2013, Melbourne, VIC, Australia, 16/07/13. https://doi.org/10.1109/TrustCom.2013.59

Reputation attacks detection for effective trust assessment among cloud services. / Noor, Talal H.; Sheng, Quan Z.; Alfazi, Abdullah.
TrustCom 2013: 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications : proceedings. New Jersey, USA: Institute of Electrical and Electronics Engineers (IEEE), 2013. p. 469-476.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AB - Consumers' feedback is a good source to help assess overall trustworthiness of cloud services. However, it is not unusual that a trust management system experiences malicious behaviors from its users (i.e., collusion or Sybil attacks). In this paper, we propose techniques for the detection of reputation attacks to allow consumers to effectively identify trustworthy cloud services. We introduce a credibility model that not only identifies misleading trust feedbacks from collusion attacks but also detects Sybil attacks, either strategic (in a long period of time) or occasional (in a short period of time). We have collected a large collection of consumer's trust feedbacks given on real-world cloud services (over 10, 000 records) to evaluate and demonstrate the applicability of our approach and show the capability of detecting such malicious behaviors.

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KW - cloud computing

KW - credentials

KW - credibility

KW - privacy

KW - reputation

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Reputation attacks detection for effective trust assessment among cloud services

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