Refine your search
Collections
Co-Authors
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Sai Eswari, D.
- Knowledge Discovery in Tweets for the Prevention of Inference Attacks
Abstract Views :211 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science and Engineering, Malla Reddy Engineering College for Women, Hyderabad − 500014, Telangana, IN
1 Department of Computer Science and Engineering, Malla Reddy Engineering College for Women, Hyderabad − 500014, Telangana, IN
Source
Indian Journal of Science and Technology, Vol 10, No 34 (2017), Pagination:Abstract
Objectives: The objective of our proposed study is to eliminate the inference attacks through knowledge discovery process without compromising the accuracy of the systems. Methods/Analysis: In this paper, we have explored an enhanced privacy adoption scheme for twitter users. A supervised learning model that prevents the inference attacks using hit analytics and metadata knowledge derivation systems. By integrating the extracted feature vectors, we have eliminated the inference attacks caused by third party applications and elegantly classified the malignant and benign URLs. Findings: The proposed model is experimented in twitter dataset. The tweet URLs are collected and segmented into different URLs and similar URLs. The performance analysis is in terms of frequency of URLs usage, User’s assurance level via hit analytics and accuracy. It is evident from the results that higher usage of twitter network is employed and as the rate of users increases, the proposed classifier detects the benign and malicious URLs at significant level of 83%. Novelty/Improvement: A recent development made in the digital era has seen a phenomenal growth of social users. The social users make use of social networks to share their opinions about the facts, events etc. Our proposed study has incorporated on twitter users where trained classifier is developed from the behavior analysis of tweets users.Keywords
Click Analytics and Third Party Applications, Digital Era, Public Knowledge, Social Networks, Twitter, URL Services- Improved Attribute based Encryption Scheme over Integrated Data Access Control Structures in Cloud Computing
Abstract Views :202 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science and Engineering, Sri Satya Sai University of Technology and Medical Sciences, Sehore – 466001, Madhya Pradesh, IN
1 Department of Computer Science and Engineering, Sri Satya Sai University of Technology and Medical Sciences, Sehore – 466001, Madhya Pradesh, IN
Source
Indian Journal of Science and Technology, Vol 10, No 34 (2017), Pagination:Abstract
The advancements made in the Information and Communication Technologies (ICT) has increased the number of social users. A new promising technology, named, cloud computing resolves most of the recent real-time issues. Data sharing is one of the most recent topics explored by the researchers. By sharing the common attributes, the data owners can elegantly solve the data redundancy, cost minimization/ maximization, security etc. This kind of sharing attributes are profound in healthcare and military applications. Prior works have explored the study of data sharing concepts, yet it fails to satisfy the data owner’s requirements. In this paper, we have proposed an enhanced file hierarchy system in specific to attribute-based encryption schemes. Meanwhile, the file hierarchical system is controlled by data access control layer of cloud technologies. By devising the access control layer, we can efficiently arrange encrypted files in hierarchical model with reduced storage and time cost of encryption and decryption. Experimental analysis has shown the efficacy of our proposed scheme in terms of better achieved storage consumption with increased number of files and attributes.Keywords
Attributes, Cloud Computing, Data Owner, Encryption, File Hierarchy Systems, Storage Consumption- SSAAR: Enhanced Spatial Reusability for Optimal Path Selection in Wireless Sensor Networks
Abstract Views :225 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science and Engineering, Sri Satya Sai University of Technology and Medical Sciences, Sehore – 466001, Madhya Pradesh, IN
1 Department of Computer Science and Engineering, Sri Satya Sai University of Technology and Medical Sciences, Sehore – 466001, Madhya Pradesh, IN