Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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Subject: search.filters.subject.Homomorphic Encryption

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    Efficient privacy preserving ranked search over encrypted data
    (Institute of Electrical and Electronics Engineers Inc., 2016) Praseed, A.; Sudheesh, R.K.; Chandrasekaran, K.
    Cloud computing and its ever so increasing prominence has rendered it as an unavoidable component for data storage and other data services. The security challenges of storing sensitive data on the cloud is reduced to an extent by the Encryption of data, though in the process of encrypted data search, efficiency is compromised. The encrypted data on the cloud can be retrieved using Searchable Symmetric Encryption (SSE). The current work uses multi-keyword searchable encryption scheme with top-k retrieval to avoid compromises on data privacy occurred by using Order Preserving Encryption schemes. The encryption scheme uses homomorphic encryption and vector space model. The vector space model provides the required search accuracy. The homomorphic encryption allows majority of the computation to be done at the server side while concealing the sensitive data. The user alone can identify the final result of the relevance calculation and request for the actual file. In this paper, phrase searching is included to improve the search results on the encrypted data. To accomplish this we maintain a list of the keyword locations in the encrypted file index. The cloud server, which we assume to be honest-but-curious, operates on these encrypted values and identifies if the words occur in close proximity without knowing the actual locations of these words and the words itself. © 2015 IEEE.
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    Blockchain-based Data Security and Integrity Management Framework for Cyber-Physical Systems Using Hyperledger and Storj
    (Institute of Electrical and Electronics Engineers Inc., 2025) Vanja, S.K.; Janani, T.
    Modern Cyber-Physical Systems (CPS) generate large volumes of sensitive data, requiring secure management. Traditional centralized storage systems are vulnerable to breaches and unauthorized access, making them unsuitable for safeguarding CPS data. This paper presents a blockchain-based architecture integrating Hyperledger Fabric and Storj to enhance data security, integrity, and privacy. Hyperledger Fabric ensures data integrity and transparency through a tamper-proof distributed ledger, fine-grained a ccess c ontrol, a nd automated smart contract protocols. Storj provides decentralized storage, splitting encrypted data into segments across global nodes to eliminate single points of failure and improve redundancy. Experimental evaluation demonstrates a 20% improvement in data retrieval speed, 100% integrity accuracy, and 1,000 transactions per second with minimal CPU usage. Additionally, the integration of homomorphic encryption enables real-time computations on encrypted data while preserving privacy. The proposed framework addresses critical CPS challenges, delivering a scalable, secure, and resilient system for managing CPS data. © 2025 IEEE.