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Khan, Saif Ali, Aggarwal, R. K, Kulkarni, Shashidhar.  2019.  Enhanced Homomorphic Encryption Scheme with PSO for Encryption of Cloud Data. 2019 5th International Conference on Advanced Computing Communication Systems (ICACCS). :395–400.
Cloud computing can be described as a distributed design that is accessible to different forms of security intrusions. An encoding technique named homomorphic encoding is used for the encoding of entities which are utilized for the accession of data from cloud server. The main problems of homomorphic encoding scheme are key organization and key allocation. Because of these issues, effectiveness of homomorphic encryption approach decreases. The encoding procedure requires the generation of input, and for this, an approach named Particle swarm optimization is implemented in the presented research study. PSO algorithms are nature encouraged meta-heuristic algorithms. These algorithms are inhabitant reliant. In these algorithms, societal activities of birds and fishes are utilized as an encouragement for the development of a technical mechanism. Relying on the superiority of computations, the results are modified with the help of algorithms which are taken from arbitrarily allocated pattern of particles. With the movement of particles around the searching area, the spontaneity is performed by utilizing a pattern of arithmetical terminology. For the generation of permanent number key for encoding, optimized PSO approach is utilized. MATLAB program is used for the implementation of PSO relied homomorphic algorithm. The investigating outcomes depicts that this technique proves very beneficial on the requisites of resource exploitation and finishing time. PSO relied homomorphic algorithm is more applicable in terms of completion time and resource utilization in comparison with homomorphic algorithm.
Yang, Xiaodong, Chen, Guilan, Wang, Meiding, Pei, Xizhen.  2019.  Lightweight Searchable Encryption Scheme Based on Certificateless Cryptosystem. 2019 4th International Conference on Mechanical, Control and Computer Engineering (ICMCCE). :669–6693.
Searchable encryption technology can guarantee the confidentiality of cloud data and the searchability of ciphertext data, which has a very broad application prospect in cloud storage environments. However, most existing searchable encryption schemes have problems, such as excessive computational overhead and low security. In order to solve these problems, a lightweight searchable encryption scheme based on certificateless cryptosystem is proposed. The user's final private key consists of partial private key and secret value, which effectively solves the certificate management problem of the traditional cryptosystem and the key escrow problem of identity-based cryptosystem. At the same time, the introduction of third-party manager has significantly reduced the burden in the cloud server and achieved lightweight multi-user ciphertext retrieval. In addition, the data owner stores the file index in the third-party manager, while the file ciphertext is stored in the cloud server. This ensures that the file index is not known by the cloud server. The analysis results show that the scheme satisfies trapdoor indistinguishability and can resist keyword guessing attacks. Compared with similar certificateless encryption schemes, it has higher computational performance in key generation, keyword encryption, trapdoor generation and keyword search.
Rao, Deepthi, Kumar, D.V.N. Siva, Thilagam, P. Santhi.  2018.  An Efficient Multi-User Searchable Encryption Scheme without Query Transformation over Outsourced Encrypted Data. 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS). :1-4.

Searchable Encryption (SE) schemes provide security and privacy to the cloud data. The existing SE approaches enable multiple users to perform search operation by using various schemes like Broadcast Encryption (BE), Attribute-Based Encryption (ABE), etc. However, these schemes do not allow multiple users to perform the search operation over the encrypted data of multiple owners. Some SE schemes involve a Proxy Server (PS) that allow multiple users to perform the search operation. However, these approaches incur huge computational burden on PS due to the repeated encryption of the user queries for transformation purpose so as to ensure that users' query is searchable over the encrypted data of multiple owners. Hence, to eliminate this computational burden on PS, this paper proposes a secure proxy server approach that performs the search operation without transforming the user queries. This approach also returns the top-k relevant documents to the user queries by using Euclidean distance similarity approach. Based on the experimental study, this approach is efficient with respect to search time and accuracy.

Hiremath, S., Kunte, S. R..  2018.  Ensuring Cloud Data Security Using Public Auditing with Privacy Preserving. 2018 3rd International Conference on Communication and Electronics Systems (ICCES). :1100-1104.

The Cloud computing in simple terms is storing and accessing data through internet. The data stored in the cloud is managed by cloud service providers. Storing data in cloud saves users time and memory. But once user stores data in cloud, he loses the control over his data. Hence there must be some security issues to be handled to keep users data safely in the cloud. In this work, we projected a secure auditing system using Third Party Auditor (TPA). We used Advanced Encryption Standard (AES) algorithm for encrypting user's data and Secure Hash Algorithm (SHA-2) to compute message digest. The system is executed in Amazon EC2 cloud by creating windows server instance. The results obtained demonstrates that our proposed work is safe and takes a firm time to audit the files.

Maohong, Zhang, Aihua, Yang, Hui, Liu.  2018.  Research on Security and Privacy of Big Data Under Cloud Computing Environment. Proceedings of the 2Nd International Conference on Big Data Research. :52-55.

With the rapid development of computer science, Internet and information technology, the application scale of network is expanding constantly, and the data volume is increasing day by day. Therefore, the demand for data processing needs to be improved urgently, and Cloud computing and big data technology as the product of the development of computer networks came into being. However, the following data collection, storage, and the security and privacy issues in the process of use are faced with many risks. How to protect the security and privacy of cloud data has become one of the urgent problems to be solved. Aiming at the problem of security and privacy of data in cloud computing environment, the security of the data is ensured from two aspects: the storage scheme and the encryption mode of the cloud data.

Singh, R., Ataussamad, Prakash, S..  2017.  Privacy Preserving in TPA for Secure Cloud by Using Encryption Technique. 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS). :1–5.

With all data services of cloud, it's not only stored the data, although shared the data among the multiple users or clients, which make doubt in its integrity due to the existence of software/hardware error along with human error too. There is an existence of several mechanisms to allow data holders and public verifiers to precisely, efficiently and effectively audit integrity of cloud data without accessing the whole data from server. After all, public auditing on the integrity of shared data with pervious extant mechanisms will somehow affirm the confidential information and its identity privacy to the public verifiers. In this paper, to achieve the privacy preserving public for auditing, we intended an explanation for TPA using three way handshaking protocol through the Extensible Authentication Protocol (EAP) with liberated encryption standard. Appropriately, from the cloud, we use the VerifyProof execute by TPA to audit to certify. In addition to this mechanism, the identity of each segment in the shared data is kept private from the public verifiers. Moreover, rather than verifying the auditing task one by one, this will capable to perform, the various auditing tasks simultaneously.

Dai, H., Zhu, X., Yang, G., Yi, X..  2017.  A Verifiable Single Keyword Top-k Search Scheme against Insider Attacks over Cloud Data. 2017 3rd International Conference on Big Data Computing and Communications (BIGCOM). :111–116.

With the development of cloud computing and its economic benefit, more and more companies and individuals outsource their data and computation to clouds. Meanwhile, the business way of resource outsourcing makes the data out of control from its owner and results in many security issues. The existing secure keyword search methods assume that cloud servers are curious-but-honest or partial honest, which makes them powerless to deal with the deliberately falsified or fabricated results of insider attacks. In this paper, we propose a verifiable single keyword top-k search scheme against insider attacks which can verify the integrity of search results. Data owners generate verification codes (VCs) for the corresponding files, which embed the ordered sequence information of the relevance scores between files and keywords. Then files and corresponding VCs are outsourced to cloud servers. When a data user performs a keyword search in cloud servers, the qualified result files are determined according to the relevance scores between the files and the interested keyword and then returned to the data user together with a VC. The integrity of the result files is verified by data users through reconstructing a new VC on the received files and comparing it with the received one. Performance evaluation have been conducted to demonstrate the efficiency and result redundancy of the proposed scheme.

Gurjar, S. P. S., Pasupuleti, S. K..  2016.  A privacy-preserving multi-keyword ranked search scheme over encrypted cloud data using MIR-tree. 2016 International Conference on Computing, Analytics and Security Trends (CAST). :533–538.

With increasing popularity of cloud computing, the data owners are motivated to outsource their sensitive data to cloud servers for flexibility and reduced cost in data management. However, privacy is a big concern for outsourcing data to the cloud. The data owners typically encrypt documents before outsourcing for privacy-preserving. As the volume of data is increasing at a dramatic rate, it is essential to develop an efficient and reliable ciphertext search techniques, so that data owners can easily access and update cloud data. In this paper, we propose a privacy preserving multi-keyword ranked search scheme over encrypted data in cloud along with data integrity using a new authenticated data structure MIR-tree. The MIR-tree based index with including the combination of widely used vector space model and TF×IDF model in the index construction and query generation. We use inverted file index for storing word-digest, which provides efficient and fast relevance between the query and cloud data. Design an authentication set(AS) for authenticating the queries, for verifying top-k search results. Because of tree based index, our scheme achieves optimal search efficiency and reduces communication overhead for verifying the search results. The analysis shows security and efficiency of our scheme.