A Survey on Techniques to Detect Malicious Activites on Web

Abstract

The world wide web is more vulnerable for malicious activities. Spam–advertisements, Sybil attacks, Rumour propagation, financial frauds, malware dissemination, and Sql injection are some of the malicious activities on web. Terrorist are using web as a weapon to propaganda false information. Many innocent youths were trapped by web terrorist. It is very difficult to trace the impression of malicious activities on web. Many researches are under development to find a mechanism to protect web users and avoid malicious activities. The aim of the survey is to provide a study on recent techniques to find malicious activities on web.

Authors and Affiliations

Abdul Rahaman Wahab Sait, Dr. M. Arunadevi, Dr. T. Meyyappan

Keywords

Related Articles

  Fine Facet Digital Wateramrk (FFDW) Mining From The Color Image Using Neural Networks

  On hand watermark methods employ selective Neural Network techniques for watermark embedding efficiently. Similarity Based Superior Self Organizing Maps (SBS_SOM) a neural network algorithm for watermark gene...

On an Overlaid Hybrid Wire/Wireless Interconnection Architecture for Network-on-Chip

Network-on-Chip (NoC) built upon metal low-k interconnect wires, are to meet the ever stringent performance requirements in the future technology nodes. In response to this interconnection crisis, the wireless network-on...

Estimating True Demand in Airline’s Revenue Management Systems using Observed Sales

Forecasting accuracy is very important in revenue management. Improved forecast accuracy, improves the decision made about inventory and this lead to a greater revenue. In the airline’s revenue management systems, the in...

Optimum Route Selection for Vehicle Navigation

The objective of Optimum Route Selection for Vehicle Navigation System (ORSVNS) article is to develop a system, which provides information about real time alternate routes to the drivers and also helps in selecting the o...

Performance Evaluation WPAN of RN-42 Bluetooth based (802.15.1) for Sending the Multi-Sensor LM35 Data Temperature and RaspBerry Pi 3 Model B for the Database and Internet Gateway

This research will be a test of a multi-sensor data transmission using the Wireless Sensor Network based on Bluetooth RN-42. Accordingly this research, LM35 is a type of Temperature Sensor, furthermore, this research wil...

Download PDF file
  • EP ID EP468321
  • DOI 10.14569/IJACSA.2019.0100226
  • Views 74
  • Downloads 0

How To Cite

Abdul Rahaman Wahab Sait, Dr. M. Arunadevi, Dr. T. Meyyappan (2019). A Survey on Techniques to Detect Malicious Activites on Web. International Journal of Advanced Computer Science & Applications, 10(2), 192-198. https://europub.co.uk/articles/-A-468321