IEEE Dot Net Projects in Chennai

Abstract:

Users can store their data on the cloud using cloud storage services to save money on local data storage and maintenance. Many data integrity auditing techniques have been proposed to protect the integrity of data stored in the cloud. A user must use his private key to generate data authenticators in most, if not all, of the available schemes to do data integrity auditing. As a result, the user must have a hardware token (e.g., a USB token or a smart card) to store his private key and remember a password to activate it.

Abstract:

A heterogeneous information network (HIN) has been employed to define complex and heterogeneous auxiliary data in recommender systems, referred to as HIN-based recommendation, due to its flexibility in modeling data heterogeneity. It’s difficult to come up with appropriate approaches for HIN-based recommendation in terms of both extraction and utilization of data from HINs. Most HIN-based recommendation methods rely on path-based similarity, which cannot fully mine latent structure features of users and items. HERec is a novel heterogeneous network embedding-based approach for HIN-based recommendation that we propose in this paper.

Abstract:

Many online information platforms have emerged as an important business model to meet society’s needs for person-specific data, where a service provider collects raw data from data contributors and then provides value-added data services to data consumers. However, data consumers have a significant problem in the data trading layer, namely, how to check whether the service provider has genuinely obtained and processed data? Furthermore, data contributors are often reluctant to provide sensitive personal information or their true names to data consumers. We present TPDM, a method for integrating truthfulness and privacy preservation in data marketplaces, in this study.

Abstract:

Users may now share their images, films, and other media content with anyone, anywhere, due to the increased use of social networks. However, easy access to user-generated media content raises privacy problems. In large-scale media sharing systems, traditional access control procedures, in which a single access policy is created for a specific piece of material, are unable to meet user privacy needs. Instead, various levels of access privileges for shared media material should be configured.

Abstract:

Social networking sites have interaction millions of users across the world. The customers’ interactions with these social sites, consisting of Twitter and Facebook have a tremendous impact and occasionally unwanted repercussions for daily life. Spammers have turned prominent social media sites into a target for transmitting a vast amount of irrelevant and harmful information. Twitter, for example, has become one of the most widely utilized platforms of all time, allowing an excessive amount of spam to emerge. Fake users send unwanted tweets to users to advertise businesses or websites, which not only affect legitimate users but also consume resources.

Abstract:

This paper proposes a new framework for reversible data hiding in encrypted JPEG images. To encrypt a JPEG image to a smaller size while keeping the format interoperable with JPEG decoders, we first give a JPEG encryption method. The server embeds additional messages into the ciphertext to generate a marked encrypted JPEG bitstream after a picture owner uploads encrypted JPEG bitstreams to cloud storage. We present a hybrid embedding approach for data concealing that includes two stages: Huffman code mapping and ordered histogram shifting.