Details

Autor(en) / Beteiligte

• Poluparthi, Bhanu Prakash
• Kishan, G. Mani
• Praneeth, V. Bala Sai
• Manikanta, A.
• Sarath, Greeshma

Titel

A Hybrid Trust Model for Cloud Service Provider Selection with NLP Support and Malicious User Feedback Filtering

Ist Teil von

• 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021, p.1-7

Ort / Verlag

IEEE

Erscheinungsjahr

2021

Quelle

IEEE Xplore

Beschreibungen/Notizen

• With the rapid development of Cloud Computing and the increase in Cloud Service Providers(Csp),there is an immense rise in the cloud services provided to the users. With a mass choice of CSPs, trust has become a major concern for both CSPs and the Cloud Service Users(CSU). It plays an important role in evaluating cloud services and helps in the robust selection of CSPs without compromising security, performance, and privacy. Research has been done in this field that talks about one-way trust between CSPs and CSUs but little to no work has been done which includes bi-directional trust in the same model. We propose a Trust model for cloud service selection that considers the bi-directional trust i.e., trust based on user requirements and user feedback, making it more reliable in real-life scenarios. An NLP approach that extracts requirement values from both text and numerical input and a Malicious Feedback Filtering Mechanism are proposed.