Privacy Enhanced Pervasive Computing Model with Dynamic Trust and Security
| Autor: | Manjula Dhanabalachandran, Geetha Mariappan |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Information privacy
Focus (computing) Ubiquitous computing General Computer Science Computer science business.industry Internet privacy General Engineering Denial-of-service attack Service provider Computer security computer.software_genre Security management Session (computer science) business computer Access time |
| Zdroj: | Research Journal of Applied Sciences, Engineering and Technology. 7:4872-4876 |
| ISSN: | 2040-7467 2040-7459 |
| DOI: | 10.19026/rjaset.7.877 |
| Popis: | The objective of the research work is to propose a policy aware privacy enhancement model using dynamic trust and security management techniques. The different polices of the stakeholders incorporating device manufacturer, service provider, Mobile agents and mobile users are considered to achieve an enhanced privacy for on-demand request. The entities involving direct and indirect trust establishment with all forms of uncertainties like DDoS attacks are considered along with multiple layers of security management operations across varying trusted entities. The focus is to enhance the existing privacy through an efficient, preventive, detective, response mechanisms for those attacks, which will address the problem of DDoS before, during and after an actual attack. The session time and access time are controlled by the privileges and rights for disclosure of information in pervasive environment. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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