METHOD TO ACHIEVE SECURITY AND STORAGE SERVICES IN CLOUD COMPUTING

Cloud storage enables users to remotely store their data and enjoy the on-demand high quality cloud applications without the burden of local hardware and software management. Though the benefits are clear, such a service is also relinquishing users ‘physical possession of their outsourced data, which inevitably poses new security risks toward the correctness of the data in cloud. In order to address this new problem and further achieve a secure and dependable cloud storage service, we propose in this paper a flexible distributed storage integrity auditing mechanism, utilizing the homomorphism token and distributed erasure-coded data. The proposed design allows users to audit the cloud storage with very lightweight communication and computation cost. The auditing result not only ensures strong cloud storage correctness guarantee, but also simultaneously achieves fast data error localization, i.e., the identification of misbehaving server. Considering the cloud data are dynamic in nature, the proposed design further supports secure and efficient dynamic operations on outsourced data, including block modification, deletion, and append. Analysis shows the proposed scheme is highly efficient and resilient against Byzantine failure, malicious data modification attack, and even server colluding attacks

A Survey on Secure Storage Services in Cloud Computing

Cloud computing is an emerging technology and it is purely based on internet and its environment It provides different services to users such as Software-as-a-Service SaaS PaaS IaaS Storage-as-a-service SaaS Using Storage-as-a-Service users and organizations can store their data remotely which poses new security risks towards the correctness of data in cloud In order to achieve secure cloud storage there exists different techniques such as flexible distributed storage integrity auditing mechanism distributed erasure-coded data Merkle Hash Tree MHT construction etc These techniques support secure and efficient dynamic data storage in the cloud This paper also deals with architectures for security and privacy management in the cloud storage environmen

Remote Data Integrity Checking in Cloud Computing

Cloud computing is an internet based computing which enables sharing of services. It is very challenging part to keep safely all required data that are needed in many applica f or user in cloud. Storing our data in cloud may not be fully trustworthy. Since client doesnt have copy of all stored data, he has to depend on Cloud Service Provider. This work studies the problem of ensuring the integrity and security of data storage in Cloud Computing. This paper, proposes an effective and flexible Batch Audit sche me with dynamic data support to reduce the computation overheads. To ensure the correctness of users data the task of allowing a third party auditor (TPA), on behalf of the cloud client, to verify the integrity of the data stored in the cloud. We consider symmetric encryption for effective utilization of outsourced cloud data under the model, it achieve the storage security in multi cloud data storage. The new scheme further supports secure and efficient dynamic operation sondata blocks, including data i nserti on, update,delete and replacement. Extensive securityand performance analysis shows that the proposed sche me is highlyef ficient and resilient again st By zantinef ailure, maliciousd a ta modification at tack, and even server colliding a ttacks

Self-healing in unattended wireless sensor networks

Wireless sensor networks (WSNs) appeal to a wide range of applications that involve the monitoring of various physical phenomena. However, WSNs are subject to many threats. In particular, lack of pervasive tamper-resistant hardware results in sensors being easy targets for compromise. Having compromised a sensor, the adversary learns all the sensor secrets, allowing it to later encrypt/decrypt or authenticate messages on behalf of that sensor. This threat is particularly relevant in the novel unattended wireless sensor networks (UWSNs) scenario. UWSNs operate without constant supervision by a trusted sink. UWSN?s unattended nature and increased exposure to attacks prompts the need for special techniques geared towards regaining security after being compromised. In this article, we investigate cooperative self-healing in UWSNs and propose various techniques to allow unattended sensors to recover security after compromise. Our techniques provide seamless healing rates even against a very agile and powerful adversary. The effectiveness and viability of our proposed techniques are assessed by thorough analysis and supported by simulation results. Finally, we introduce some real-world issues affecting UWSN deployment and provide some solutions for them as well as a few open problems calling for further investigation