Thursday, 15 January 2015

ANONYMOUS AUTHENTICATION OF CLOUDS DATA WITH DA CONTROL USING ATTRIBUTE BASED ENCRYPTION

S.Abirami, J.Sangeetha
1PG Student STET Women’s college, Mannargudi.
2Professor of CS department, STET Women’s college, Mannargudi.

 Cloud computing is a rising technology delivers a lot of new challenges for data security and access control when clients outsource sensitive data for offering on cloud servers, which computing standard  assets of the computing framework are given as a service over the Internet. As guaranteeing as it may be, this standard additionally are not inside the same trusted dominion as data possessors. In any case, in completing thus, these results unavoidably present a substantial processing overhead on the data possessor for key distribution and data administration when fine-grained data access control is in demand, and subsequently don't scale well. The issue of at the same time accomplishing fine-grainedness, scalability, and data confidentiality of access control really still remains uncertain. This paper addresses this open issue by, on one hand, characterizing and implementing access policies based on data qualities, and, then again, permitting the data owner to representative the majority of the calculation undertakings included in fine-grained data access control to un-trusted cloud servers without unveiling the underlying data substance. We accomplish this goal by exploiting and combining techniques of decentralized key policy Attribute Based Encryption (KP-ABE). Extensive investigation shows that the proposed approach is highly efficient and secure. Cloud computing is typically defined as a type of computing that relies on sharing computing resources rather than having local servers or personal devices to handle applications .Cloud Computing is the internet-based storage for files, applications, and infrastructure. Cloud computing involves deploying groups of remote servers and software networks that allow centralized data storage and online access to computer services or resources. Centralized computing is computing done at a central location, using terminals that are attached to a central computer. The computer itself may control all the peripherals directly or they may be attached via a terminal server. Information security is a critical issue in cloud computing environments, so the nature of cloud computing raises serious issues regarding user authentication, information integrity and data confidentiality. Propose a new decentralized access control scheme is  for secure data storage in clouds that supports anonymous authentication. In the proposed scheme, the cloud verifies the authenticity of the series without knowing the user's identity before storing data. Our scheme also has the added feature of access control in which only valid users are able to decrypt the stored information. The scheme prevents replay attacks and supports creation, modification, and reading data stored in the cloud, also address user revocation. Moreover, authentication and access control scheme is decentralized and robust, unlike other access control schemes designed for clouds which are centralized. The communication, computation, and storage overheads
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DETERMINING EVOLVING THEMES IN SHARED NETWORK THROUGH RELATIONSHIP ABNORMALITY RECOGNITION




Mr.N.Vignesh1, Ms.P.Salomi2
1PG student- Department of CSE - Vellammal college of Engineering and technology, Madurai, Tamilnadu, India.
2Assistant Professor - Department of CSE- Vellammal college of Engineering and technology, Madurai, Tamilnadu, India.

                Communication over social networks, such as Facebook and Twitter, is gaining its importance in our daily life. Since the information exchanged over social networks is not only texts but also URLs, images, and videos, they are challenging test beds for the study of data mining. Our basic assumption is that a new (emerging) topic is something people feel like discussing, commenting, or forwarding the information further to their friends. Conventional approaches for topic detection have mainly been concerned with the frequencies of (textual) words. A term-frequency-based approach could suffer from the ambiguity caused by synonyms or homonyms. In the Existing System, they propose a probability model of the mentioning behaviour of a social network user, and propose to detect the emergence of a new topic from the anomalies measured through the model. Aggregating anomaly scores from hundreds of users, they show that they can detect emerging topics only based on the reply/mention relationships in social-network posts. They demonstrate their technique in several real data sets they gathered from Twitter. In some cases much earlier when the topic is poorly identified by the textual contents in posts.For this, we enhance the existing work by combining the existing link-anomaly model with text-based approaches. Because the existing link-anomaly model does not immediately tell what the anomaly is. Combination of the word-based approach with the link-anomaly model would benefit both from the performance of the mention model and the intuitiveness of the word-based approach. It is implemented by using the technique text based change-point detection method for word based approach.
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THE VISION OF SMART AND SAFE CITIES



J.AshaDevi, R.BanuSree, P.Suganya, S.Sakkaravarthi
1  J.AshaDevi, Sree Sowdambika College Of Engineering , Aruppukottai,India.
2  R.BanuSree,, Sree Sowdambika College Of Engineering , Aruppukottai,India.
3  P.Suganya, Sree Sowdambika College Of Engineering, Aruppukottai,India.
4  S.Sakkaravarthi, AP/CSE, Sree Sowdambika College Of Engineering, Aruppukottai,India.

Today world scenario Safety is more important to everyone. For living and working or studying we need to choose a safe place and also smart city. Based on this motto we develop our project VISION OF SMART AND SAFE CITY. We implement a safe city provider to protect our area from various problems. Using social network we connect public and government agencies to rectify the social issues.  In google map we update the rating of particular area. From the google map everyone able to see the current situations of city. Our project is very useful to view the updates of rating area from this we can easily find the safe place. We introduce iSafe, a privacy preserving algorithm for computing safety snapshots of co-located mobile devices as well as geosocial network users. We present implementation details of iSafe, as both an Android application and a browser plugin, that visualizes safety levels of visited locations and browsed geosocial venues.


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