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Title |
Building On/off Attacks Detector for Effective Trust Evaluation in Cloud Services Environment |
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Author |
SALAH T. ALSHAMMARI, DR. AIIAD ALBESHRI, DR. KHALID ALSUBHI |
| Citation |
Vol. 24 No. 7 pp. 101-107 |
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Abstract |
Cloud computing is a widely used technology that has changed the way people and organizations store and access information. This technology is quite versatile, which is why extensive amounts of data can be stored in the cloud. Furthermore, businesses can access various services over the cloud without having to install applications. However, the cloud computing services are provided over a public domain, which means that both trusted and non-trusted users can access the services. Though there are several advantages of cloud computing services, especially to business owners, various challenges are also posed in terms of the privacy and security of information and online services. A kind of threat that is widely faced in the cloud environment is the on/off attack. In this kind of attack, a few entities exhibit proper behavior for a given time period to develop a highly a positive reputation and gather trust, after which they exhibit deception. A viable solution is provided by the given trust model for preventing the attacks. This method works by providing effective security to the cloud services by identifying malicious and inappropriate behaviors through the application of trust algorithms that can identify on-off attacks. |
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Keywords |
Trust Model, Reputation Attacks, Cloud Computing, On/off Attack, Cloud Services. |
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