Trustee-based social authentication has attracted increasing attentions and has been shown to be a promising backup authentication mechanism . Specifically, a user’s security in trustee-based social authentications relies on the security of his or her trustees; if all trustees of a user are already compromised, then the attacker can also compromise him or her because […]
CLOUD COMPUTING WITH SHARED AUTHORITY BASED PRIVACY-PRESERVING AUTHENTICATION PROTOCOL
In our model, privacy is accomplished by encrypting the data it can prevent the un authorized access. We are going to raise the privacy level of the data owner and the confidentiality of the data by providing access to users. Here we proposed the secured system and data owner can decide whether the user can […]
BROKER-LESS PUBLISH/SUBSCRIBE SYSTEMS WITH IDENTITY-BASED ENCRYPTION
In publish/subscribe (pub/sub) communication, Publishers inject information into the pub/sub system, and subscribers specify the events of interest by means of subscriptions. Published events are routed to their relevant subscribers, without the publishers knowing the relevant set of subscribers, or vice versa. This abstract presents a novel approach to provide confidentiality and authentication in a […]
SAPA PROTOCOL FOR CLOUD STORAGE
In this abstract, we propose a shared authority based privacy preserving authentication protocol (SAPA) for the cloud data storage, which realizes authentication and authorization without compromising a user’s private information. The main contributions are as follows. 1) Identify a new privacy challenge in cloud storage, and address a subtle privacy issue during a user challenging […]
STOCHASTIC POWER REDUCTION SCHEME BASED POWER COST REDUCTION IN DISTRIBUTED DATA CENTERS
Geographically distributed data centers are contains a huge number of servers. Our goal then is to minimize power cost by deciding, how to distribute the workload from the front-end servers to the back-end clusters, how many servers to activate at each back-end cluster at any given time; and how to set the service rates (or […]
BROKER-LESS PUBLISH/SUBSCRIBE SYSTEMS WITH IDENTITY-BASED ENCRYPTION
In publish/subscribe (pub/sub) communication, Publishers inject information into the pub/sub system, and subscribers specify the events of interest by means of subscriptions. Published events are routed to their relevant subscribers, without the publishers knowing the relevant set of subscribers, or vice versa. This abstract presents a novel approach to provide confidentiality and authentication in a […]
STOCHASTIC POWER REDUCTION SCHEME BASED POWER COST REDUCTION IN DISTRIBUTED DATA CENTERS
Geographically distributed data centers are contains a huge number of servers. Our goal then is to minimize power cost by deciding, how to distribute the workload from the front-end servers to the back-end clusters, how many servers to activate at each back-end cluster at any given time; and how to set the service rates (or […]
REDUCING POWER COST USING SAVE ALGORITHM IN DISTRIBUTED DATA CENTERS
In this abstract propose a two-time-scale control algorithm aimed at reducing power cost and facilitating a power cost versus delay trade-off in geographically distributed data centers. By extending the traditional Lyapunov optimization approach, which operates on a single time scale, to two different time scales, we derive analytical bounds on the time average power cost […]
CLOUD BACKUP SERVICES OF PERSONAL STORAGE USING APPLICATION-AWARE LOCAL-GLOBAL SOURCE DEDUPLICATION
Data deduplication, an effective data compression approach that exploits data redundancy, partitions large data objects into smaller parts, called chunks, represents these chunks by their fingerprints (i.e., generally a crypto-graphic hash of the chunk data), replaces the duplicate chunks with their fingerprints after chunk fingerprint index lookup, and only transfers or stores the unique chunks […]
ALG-DEDUPE FOR CLOUD BACKUP SERVICES OF PERSONAL STORAGE
In this abstract, we propose ALG-Dedupe, an Application-aware Local-Global source deduplication scheme that not only exploits application awareness, but also combines local and global duplication detection, to achieve high deduplication efficiency by reducing the deduplication latency to as low as the application-aware loc al de-duplication while saving as much cloud storage cost as the application-aware […]
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