USER DATA-CENTRIC AUTHENTICATION FOR NETWORK DATA RETRIEVAL

Big data introduces significant demands on network infrastructure, necessitating secure and efficient data retrieval with in-network caching. Information-Centric Networking (ICN) addresses these challenges by caching data across intermediate physical entities (IPEs) and enabling retrieval from nearby sources. However, unpredictable behaviors of users, IPEs, and publishers during data retrieval introduce risks such as malicious data-poisoning and request flooding. Existing systems primarily authenticate between users and publishers, resulting in increased delays and network vulnerabilities. To resolve these issues, we propose DC Auth, a trust model integrating Certificate Authority (CA)-based and neighbor-based trust to achieve efficient and secure data-centric authentication. Simulations confirm that DC Auth significantly reduces delays while enhancing security by mitigating various attacks.