Classification Based on both Attribute Value Weight and Tuple Weight under the Cloud Computing
نویسندگان
چکیده
منابع مشابه
DoS-Resistant Attribute-Based Encryption in Mobile Cloud Computing with Revocation
Security and privacy are very important challenges for outsourced private data over cloud storages. By taking Attribute-Based Encryption (ABE) for Access Control (AC) purpose we use fine-grained AC over cloud storage. In this paper, we extend previous Ciphertext Policy ABE (CP-ABE) schemes especially for mobile and resource-constrained devices in a cloud computing environment in two aspects, a ...
متن کاملParallel search over encrypted data under attribute based encryption on the Cloud Computing
Data confidentiality in the Cloud Computing is a very challenging task. Encryption is one of the most secure methods ensuring this task, and searchable encryption techniques are used to search on encrypted data without the need for decryption. But, despite this secure measure some leaks may appear when searching over data. In this article, we propose to improve confidentiality of outsourced dat...
متن کاملAttribute-Based Encryption Optimized for Cloud Computing
In this work, we aim to make attribute-based encryption (ABE) more suitable for access control to data stored in the cloud. For this purpose, we concentrate on giving to the encryptor full control over the access rights, providing feasible key management even in case of multiple independent authorities, and enabling viable user revocation, which is essential in practice. Our main result is an e...
متن کاملA Survey on Attribute Based Encryption Scheme in Cloud Computing
Cloud computing, is an emerging computing paradigm, enabling users to remotely store their data in a server and provide services on-demand. In cloud computing cloud users and cloud service providers are almost certain to be from different trust domains. Data security and privacy are the critical issues for remote data storage. A secure user enforced data access control mechanism must be provide...
متن کاملDeep Collaborative Weight-based Classification
One of the biggest problems in deep learning is its difficulty to retain consistent robustness when transferring the model trained on one dataset to another dataset. To conquer the problem, deep transfer learning was implemented to execute various vision tasks by using a pre-trained deep model in a diverse dataset. However, the robustness was often far from state-of-the-art. We propose a collab...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2013
ISSN: 1024-123X,1563-5147
DOI: 10.1155/2013/436368