Enabling Trust Assessment In Clouds-of-Clouds: A Similarity-Based Approach
ARES '17: Proceedings of the 12th International Conference on Availability, Reliability and Security
Article No.: 8, Pages 1 - 9
Abstract
In multi-cloud paradigm, cloud providers collaborate to form ad-hoc and ephemeral groups to fulfill the request of a single customer. In such settings, malevolent cloud providers may be tempted to provide cloud services that are below the expected quality. This temptation is further exacerbated by the inability of customers to effectively identify the responsible of service outage or degradation.
Furthermore, the highly competitive nature of cloud marketplaces leads each provider to propose regularly innovative new services, making the system open and highly dynamic. The introduction of new cloud services into the system challenges the established trust order as customers and providers must accept the risk of taking decisions under uncertainty. This problem, known as the cold-start problem, have been studied in the literature from the perspective of the individuals (providers/customers) but to the best of our knowledge, no prior work tried to address it from the perspective of the exchanged services and resources.
To that aim, we propose in this paper a similarity-based trust model that tackles both multi-cloud (i.e., group-repution) and services high turnover (i.e., cold-start). In our model, past similar experiences are transferred to the providers proposing new services to enable and boost decision making and collaboration. We propose also a schema to derive multi-cloud trust using both customers and providers feedback experiences. We present also evaluations results to show the benefit of using our proposal and their impact on the simulated cloud-marketplace.
References
[1]
Alfarez Abdul-rahman and Stephen Hailes. 1997. A Distributed Trust Model. Computer (1997).
[2]
D. Artz and Y. Gil. 2010. A survey of trust in computer science and the Semantic Web. Web Semantics: Science, Services and Agents on the World Wide Web 5, 2 (June 2010), 58--71.
[3]
B. Baranski, T. Bartz-Beielstein, R. Ehlers, T. Kajendran, B. Kosslers, J. Mehnen, T. Polaszek, R. Reimholz, J. Schmidt, K. Schmitt, D. Seis, R. Slodzinski, S. Steeg, N. Wiemann, and M. Zimmermann. 2006. The Impact of Group Reputation in Multiagent Environments. In 2006 IEEE International Conference on Evolutionary Computation. 1224--1231.
[4]
Matt Blaze, Joan Feigenbaum, and AngelosD. Keromytis. 1999. KeyNote: Trust Management for Public-Key Infrastructures. In Security Protocols, Bruce Christianson, Bruno Crispo, WilliamS. Harbison, and Michael Roe (Eds.). Lecture Notes in Computer Science, Vol. 1550. Springer Berlin Heidelberg, 59--63.
[5]
Chris Burnett, Timothy J. Norman, and Katia Sycara. 2013. Stereotypical trust and bias in dynamic multiagent systems. ACM Trans. Intell. Syst. Technol. 4, 2, Article 26 (April 2013), 22 pages.
[6]
E. Cayirci. 2013. A joint trust and risk model for MSaaS mashups. In Simulation Conference (WSC), 2013 Winter. 1347--1358.
[7]
Wenjuan Fan and Harry Perros. 2014. A novel trust management framework for multi-cloud environments based on trust service providers. Knowledge-Based Systems 70 (2014), 392--406.
[8]
S. Gupta and H.W. Kim. 2004. Virtual community: concepts, implications, and future research directions. In Proceedings of the 10th American Conference on Information System. 2679--2687.
[9]
S.M. Habib, S. Ries, and M. Muhlhauser. 2011. Towards a Trust Management System for Cloud Computing. In Trust, Security and Privacy in Computing and Communications (TrustCom), 2011 IEEE 10th International Conference on. 933--939.
[10]
Audun Jøsang. 2007. Trust and reputation systems. In Foundations of security analysis and design IV, Alessandro Aldini and Roberto Gorrieri (Eds.). Springer-Verlag, Berlin, Heidelberg, 209--245. http://dl.acm.org/citation.cfm?id=1793914.1793923
[11]
A. Jøsang, R. Ismail, and C. Boyd. 2007. A survey of trust and reputation systems for online service provision. Decision Support Systems 43, 2 (2007), 618--644.
[12]
I. Kaliszewski and D. Podkopaev. 2016. Simple Additive weighting-A Metamodel for Multiple Criteria Decision Analysis Methods. Expert Syst. Appl. 54, C (July 2016), 155--161.
[13]
Jaeyong Kang and Kwang Mong Sim. 2011. Cloudle: An Ontology-Enhanced Cloud Service Search Engine. (2011), 416--427.
[14]
Natallia Kokash. 2006. A Comparison of Web Service Interface Similarity Measures. (2006), 220--231. http://dl.acm.org/citation.cfm?id=1565192.1565213
[15]
M. Lacoste, M. Miettinen, N. Neves, F. M. V. Ramos, M. Vukolic, F. Charmet, R. Yaich, K. Oborzynski, G. Vernekar, and P. Sousa. 2016. User-Centric Security and Dependability in the Clouds-of-Clouds. IEEE Cloud Computing 3, 5 (Sept 2016), 64--75.
[16]
Talal H. Noor and Quan Z. Sheng. 2011. Trust As a Service: A Framework for Trust Management in Cloud Environments. In Proceedings of the 12th International Conference on Web Information System Engineering (WISE'11). Springer-Verlag, Berlin, Heidelberg, 314--321. http://dl.acm.org/citation.cfm?id=2050963.2050992
[17]
E. Tatara, M.J. North, T. R. Howe, N. T. Collier, and J. R. Vos. 2005. An Introduction to Repast Simphony Modeling using a Simple Predator-Prey Example. In Proceedings of the Agent 2005 Conference on Generative Social Processes, Models and Mechanisms, C. M. Macal, M. J. North, and D. Sallach (Eds.).
[18]
F. Xie, Z. Chen, H. Xu, X. Feng, and Q. Hou. 2013. TST: Threshold based similarity transitivity method in collaborative filtering with cloud computing. Tsinghua Science and Technology 18, 3 (June 2013), 318--327.
[19]
Reda Yaich, Olivier Boissier, Gauthier Picard, and Philippe Jaillon. 2012. An Adaptive and Socially-Compliant Trust Management System for Virtual Communities. In The 27th ACM Symposium On Applied Computing (SAC 2012). ACM Press. http://www.acm.org/conferences/sac/sac2012/
[20]
Reda Yaich, Olivier Boissier, Gauthier Picard, and Philippe Jaillon. 2013. Adaptiveness and Social-Compliance in Trust Management within Virtual Communities. Web Intelligence and Agent Systems (WIAS), Special Issue: Web Intelligence and Communities 11, 4 (2013).
[21]
Reda Yaich, Sabir Idrees, Nora Cuppens, Frédéric Cuppens, Marc Lacoste, Nizar Kheir, Ruan He, Khalifa Toumi, Krzysztof Oborzynski, Meilof Veeningen, and Paulo Sousa. 2015. D1.2 - SUPERCLOUD Self-Management of Security Specification. SUPERCLOUD (2015). https://supercloud-project.eu/downloads/SC-D1.2-Self-Management_Security_Specification-PU-M09.pdf
[22]
Giorgos Zacharia, Alexandros Moukas, and Pattie Maes. 2000. Collaborative reputation mechanisms for electronic marketplaces. Decision Support Systems 29, 4 (2000), 371--388.
Index Terms
- Enabling Trust Assessment In Clouds-of-Clouds: A Similarity-Based Approach
Recommendations
A Trust Management Solution in the Context of Hybrid Clouds
WETICE '14: Proceedings of the 2014 IEEE 23rd International WETICE ConferenceCloud computing is a revolutionary paradigm which enables on-demand provisioning of computing resources. Resources are delivered to cloud consumers in the form of infrastructure, platform and software services. These resources are deployed on three ...
In Clouds Shall We Trust?
Cloud computing will become ubiquitous, but what we can do to improve our ability to provide users and providers of cloud computing with trust in the software services and infrastructure that make up the cloud. In this article we touch on issues of the ...
Operational trust in Clouds' environment
ISCC '11: Proceedings of the 2011 IEEE Symposium on Computers and CommunicationsCloud infrastructure is expected to support Internet scale critical applications (e.g. hospital systems and smart grid systems). Critical infrastructure and even organizations will not outsource their critical resources on public Cloud without strong ...
Comments
Information & Contributors
Information
Published In
August 2017
853 pages
ISBN:9781450352574
DOI:10.1145/3098954
Copyright © 2017 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 29 August 2017
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Funding Sources
Conference
ARES '17
ARES '17: International Conference on Availability, Reliability and Security
August 29 - September 1, 2017
Reggio Calabria, Italy
Acceptance Rates
ARES '17 Paper Acceptance Rate 100 of 191 submissions, 52%;
Overall Acceptance Rate 228 of 451 submissions, 51%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 62Total Downloads
- Downloads (Last 12 months)1
- Downloads (Last 6 weeks)0
Reflects downloads up to 03 Mar 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in