A novel SSGK to protect the communication process and shared data from unauthorized access

A cloud-based big data sharing system uses a storage facility from a cloud specialist co-op to impart data to authentic clients. As opposed to customary arrangements, cloud supplier stores the mutual data in the huge server farms outside the trust area of the data proprietor, which may trigger the issue of data classification. This paper proposes a secret sharing group key management convention (SSGK) to secure the correspondence procedure and shared data from unapproved get to. Not quite the same as the earlier works, a shared key is utilized to encode the common data and a secret sharing plan is utilized to circulate the shared key in SSGK. The broad security and execution investigations demonstrate that our convention profoundly limits the security and protection dangers of sharing data in distributed storage and spares about 12% of extra storage space

Enhancing Privacy in Big Data through an Asymmetric Secure Storage Protocol with Data Sharing

Cloud computing has become integral to handling large-scale data in the era of big data. Storing such vast amounts of data locally is cost-prohibitive, necessitating the use of cloud storage services. However, reliance on a single cloud storage provider (CSP) raises concerns such as service interruptions and security vulnerabilities, including insider threats. To address these issues, this research proposes a novel approach where big data files are distributed across multiple CSPs using an asymmetric security framework. Metadata encryption and decentralized file access management are facilitated through a dew computing intermediary, enhancing security and ensuring privacy. Unlike previous approaches, this protocol employs group key encryption and secret sharing schemes within SSGK for efficient data protection and access control. Extensive security and performance evaluations demonstrate significant reductions in security risks and privacy breaches while optimizing storage efficiency

PRE+: dual of proxy re-encryption for secure cloud data sharing service

With the rapid development of very large, diverse, complex, and distributed datasets generated from internet transactions, emails, videos, business information systems, manufacturing industry, sensors and internet of things etc., cloud and big data computation have emerged as a cornerstone of modern applications. Indeed, on the one hand, cloud and big data applications are becoming a main driver for economic growth. On the other hand, cloud and big data techniques may threaten people and enterprises’ privacy and security due to ever increasing exposure of their data to massive access. In this paper, aiming at providing secure cloud data sharing services in cloud storage, we propose a scalable and controllable cloud data sharing framework for cloud users (called: Scanf). To this end, we introduce a new cryptographic primitive, namely, PRE+, which can be seen as the dual of traditional proxy re-encryption (PRE) primitive. All the traditional PRE schemes until now require the delegator (or the delegator and the delegatee cooperatively) to generate the re-encryption keys. We observe that this is not the only way to generate the re-encryption keys, the encrypter also has the ability to generate re-encryption keys. Based on this observation, we construct a new PRE+ scheme, which is almost the same as the traditional PRE scheme except the re-encryption keys generated by the encrypter. Compared with PRE, our PRE+ scheme can easily achieve the non-transferable property and message-level based fine-grained delegation. Thus our Scanf framework based on PRE+ can also achieve these two properties, which is very important for users of cloud storage sharing service. We also roughly evaluate our PRE+ scheme’s performance and the results show that our scheme is efficient and practica for cloud data storage applications.Peer ReviewedPostprint (author's final draft