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#LIGHT LOGGER KEYLOGGER WINDOWS#
Hassan NA, Hijazi R (2017) Windows security. After various analysis the result has been generated and it is counter verified with some of the already available anti-keylogger tools. The different keyloggers which are available or being installed are detected using Support Vector Machine learning algorithm.
#LIGHT LOGGER KEYLOGGER PC#
We proposed a new detection technique that will help in detecting all the keyloggers present in our PC using Machine learning algorithm. We have tried to find a solution to this grave problem. This is really a grave threat to the society. This information could be used for harmful purposes and endanger the life of the person associated with it. They do all the spying and steal all the sensitive, confidential and important information. Hence there is an urgent need to detect the presence of keyloggers in our system and nullify all the existing keyloggers present in PC. These activities are difficult to be traced by any detectable softwares. Some of the activities include capturing screenshots of all the activities performed in PC screen, recording the activity performed by browser and generating the different keystrokes of the various activities performed in our PC. Keyloggers are very dangerous programs that does the monitoring of all the activities carried in our PC.
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