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This work is licensed under a Creative Commons Attribution 4.0 International License.
Labelling Multi-Instances Using Two Level Distributions Algorithm
R.DIVYAPRIYA, DR.R.MANICKA CHEZHIAN Research Scholar, Computer Science (Aided), NGM College, Coimbatore, India Associate Professor, Computer Science (Aided), NGM College, Coimbatore, India
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Abstract: In today’s scenario content sniffing and cross-site scripting (XSS) vulnerabilities are the major security threats today when we are in the server-client environment or using any web browser. Contents sniffers alter the content or the source code of the web pages used in their attacks to mimic changes to legitimate websites. So the content transmission and receiving in several forms are not transaction safe. In this paper we put our significant study in the direction of content sniffing and want to find the better security prevention mechanism and discuss on attack detection strategy, so that the attack alert should be sent in a specific time duration.
Keywords: XSS, Content Sniffing, MIME, Attack Type
Keywords: XSS, Content Sniffing, MIME, Attack Type
How to Cite:
[1] R.DIVYAPRIYA, DR.R.MANICKA CHEZHIAN Research Scholar, Computer Science (Aided), NGM College, Coimbatore, India Associate Professor, Computer Science (Aided), NGM College, Coimbatore, India, “Labelling Multi-Instances Using Two Level Distributions Algorithm,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
This work is licensed under a Creative Commons Attribution 4.0 International License.