A REVIEW PAPER ON PROFILE CLONE DETECTION IN SOCIAL NETWORKS
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 7
Abstract
An online social network is used day by day. Social networking is one of the trendiest Internet behaviors, with billions of users from around the humanity. The times use up on public networking sites like facebook, twitter or LinkedIn is frequently increasing at a notable rate. At the similar time, peoples fill their online profile with an overload of information that aims at providing a complete and faultless representation of them. Attackers may duplicate a user’s online existence in the same or across dissimilar public networks and, therefore, deceive other users into forming credulous public interaction with the bogus profile.
Authors and Affiliations
Akshay Sharma
Keywords
Related Articles
- EP ID EP138773
- DOI 10.5281/zenodo.57976
- Views 76
- Downloads 0
AN ANALYSIS OF PETROL - COMPRESSED AIR POWERED INTERNAL COMBUSTION ENGINE: A HYBRID ENGINE CONCEPT
Nowadays environment pollution becomes a much serious issue in the world. Vehicles’ exhaust product is one of the major source of environmental pollution. The engine combustion products are causing the greenhouse e...
Implementation of Kobetsu Kaizen pillar in Improving Overall Equipment Effectiveness of Machine
Total Productive Maintenance is a maintenance program which involves a newly defined concept for maintaining plants and equipment Overall Equipment Effectiveness is used as the measure of success of Total Product...
[b]EXPERIMENTAL ANALYSIS OF FLEXURAL STRENGTH ON GLASS FIBER SANDWICH COMPOSITE BY VARYING Z-PINS PITCHES[/b]
This paper ambit to evaluate the flexural strength of glass fiber sandwich panels with varying z-pins pitches. Failure of sandwich panel are delamination and core shear, to minimize the crack propagation, pins are...
EXPERIMENTAL STUDY ON BEHAVIOUR OF FIBER REINFORCED TERNARY BLENDED CONCRETE USING DIFFERENT TESTS
The construction techniques have been modernized with focus on high strength, dense and uniform surface texture, more reliable quality, improved durability, and faster construction. High strength concrete is a typ...
Subset Selection in High Dimensional Data by Using Fast Technique
Feature subset selection is an effective way for reducing dimensionality, removing irrelevant data, increasing learning accuracy and improving results comprehensibility. This process improved by cluster based FAS...