No abstract

No abstract

Knowledge Management Systems whose applications are on e-government services which employ natural language processing techniques, machine learning techniques, case based reasoning and several related several techniques.

Online cloud data storage is a rapidly growing pillar of the IT industry that offers data owners an array of attractive developments in highly sought-after online scalable storage services. Cloud users can easily access these services and have the flexibility to manage their process data effectively without worrying about the deployment or maintenance of personal storage devices. As a result, the number of cloud users has increased to purchase these convenient and cost-effective services, while CSPs are also rising to meet this demand for appealing cloud solutions. However, there is one major security issue related to outsourced data on shared cloud storage: its privacy and accuracy cannot be guaranteed as it may be vulnerable to unauthorized access by malicious insiders or hackers from outside sources. To address this problem, we suggest implementing partial signature-based data auditing systems so that both privacy and accuracy can be fortified while reducing the computational cost associated with auditing processes significantly. This system would involve using cryptographic techniques such as homomorphic encryption and hash functions, which would enable secure sharing between multiple parties while ensuring integrity checks on stored files at regular intervals for any potential tampering attempts made by external attackers or malicious insiders who may try to gain unauthorized access into confidential user information stored within cloud sites.Another benefit of the plan is that it supports dynamic operation on outsourced data. Our research work may achieve the desired security qualities, according to the security analysis, and it is effective for real-world applications, as demonstrated by simulation outcomes of dynamic operations on various numbers of data blocks and sub-blocks

No abstract