Synchronous Relaying Of Sensor Data

In this paper we have put forth a novel methodology to relay data obtained by inbuilt sensors of smart phones in real time to remote database followed by fetching of this data . Smart phones are becoming very common and they are laced with a number of sensors that can not only be used in native applications but can also be sent to external nodes to be used by third parties for application and service development

Social Internet of Things and New Generation Computing -- A Survey

Social Internet of Things (SIoT) tries to overcome the challenges of Internet of Things (IoT) such as scalability, trust and discovery of resources, by inspiration from social computing. This survey aims to investigate the research done on SIoT from two perspectives including application domain and the integration to the new computing models. For this, a two-dimensional framework is proposed and the projects are investigated, accordingly. The first dimension considers and classifies available research from the application domain perspective and the second dimension performs the same from the integration to new computing models standpoint. The aim is to technically describe SIoT, to classify related research, to foster the dissemination of state-of-the-art, and to discuss open research directions in this field.Comment: IoT, Social computing, Surve

Anonymous Authentication of Decentralized Access Control of Data Stored in Cloud

Cloud computing is location that allows users to store the data. Cloud computing is logically developed technology to store data from more than one user. In decentralized access control data is stored securely in cloud and here only valid users are able to decrypt the data stored in cloud and this is added feature of this scheme. This scheme supports anonymous authentication. It also supports construction, variation and reading data stored in cloud and also deals with user revocation. This access control scheme is decentralized and robust which is different from other access control scheme and costs are equivalent to centralized approaches. DOI: 10.17762/ijritcc2321-8169.16049

Remote Data Auditing in a Cloud Computing Environment

In the current paradigms of information technology, cloud computing is the most essential kind of computer service. It satisfies the need for high-volume customers, flexible computing capabilities for a range of applications like as database archiving and business analytics, and the requirement for extra computer resources to provide a financial value for cloud providers. The purpose of this investigation is to assess the viability of doing data audits remotely inside a cloud computing setting. There includes discussion of the theory behind cloud computing and distributed storage systems, as well as the method of remote data auditing. In this research, it is mentioned to safeguard the data that is outsourced and stored in cloud servers. There are four different techniques of remote data auditing procedures that are presented here for distributed cloud services. There are several difficulties associated with data audit methods; however, these difficulties may be overcome by using a variety of techniques, such as the Boneh-Lynn-Shacham signature or the automated blocker protocol. In addition to that, other difficulties associated with distributed-based remote data auditing solutions are discussed. In addition, a variety of approaches might be researched further for further examination in order to find answers to these impending problems

Authentic and Anonymous Data Sharing with Data Partitioning in Big Data

A Hadoop is a framework for the transformation analysis of very huge data. This paper presents an distributed approach for data storage with the help of Hadoop distributed file system (HDFS). This scheme overcomes the drawbacks of other data storage scheme, as it stores the data in distributed format. So, there is no chance of any loss of data. HDFS stores the data in the form of replica’s, it is advantageous in case of failure of any node; user is able to easily recover from data loss unlike other storage system, if you loss then you cannot. We have proposed ID-Based Ring Signature Scheme to provide secure data sharing among the network, so that only authorized person have access to the data. System is became more attack prone with the help of Advanced Encryption Standard (AES). Even if attacker is successful in getting source data but it’s unable to decode it

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

Secure Data Sharing with Data Partitioning in Big Data

Hadoop is a framework for the transformation analysis of very huge data. This paper presents an distributed approach for data storage with the help of Hadoop distributed file system (HDFS). This scheme overcomes the drawbacks of other data storage scheme, as it stores the data in distributed format. So, there is no chance of any loss of data. HDFS stores the data in the form of replica’s, it is advantageous in case of failure of any node; user is able to easily recover from data loss unlike other storage system, if you loss then you cannot. We have implemented ID-Based Ring Signature Scheme to provide secure data sharing among the network, so that only authorized person have access to the data. System is became more attack prone with the help of Advanced Encryption Standard (AES). Even if attacker is successful in getting source data but it’s unable to decode it

Security Enhancement in Cloud System by Anonymous Request Access

Cloud computing is a computing technology or information technology architecture used by organization or individuals. It launches data storage and interactive paradigm with some advantages like on-demand self-services, ubiquitous network access. Due to popularity of cloud services, security and privacy becomes major issue. There is the issue of legitimate responsibility for information (If a client stores some information in the cloud, can the cloud supplier benefit from it?). Numerous Terms of Service assentions are quiet on the topic of proprietorship. Physical control of the PC hardware (private cloud) is more secure than having the gear off site and under another person's control (open cloud). This conveys awesome motivation to open distributed computing administration suppliers to organize building and keeping up solid administration of secure administration. This paper addresses design of proposed system