International Journal of Innovative Research in                 Electrical, Electronics, Instrumentation and Control Engineering

A monthly peer-reviewed journal

ISSN Online 2321-2004
ISSN Print 2321-5526

Since  2013

Abstract: In the recent years, the usage of internet is at its peak. As the usage of internet increases the number of people who will try to make money in an easy way through the growing internet also increases. In order to do achieve this the attacks on the user’s computer system happens so that the hackers can collect the user’s data and can be used for various purposes. Such attacks take place just by inserting the spoofed packets into the user’s line of communication in the network. To prevent this type of attacks bifurcation of the incoming and outgoing packets from a system’s network can be an accurate solution. To achieve such bifurcation between the normal packets and spoofed packets the model is developed using Deep Learning algorithm. By using the Deep Learning algorithm Long Short-Term Memory the user can obtain a comparatively higher accuracy.

Keywords: Deep Learning, Long Short-Term Memory, LSTM, Packets, Attack, Network

PDF | DOI: 10.17148/IJIREEICE.2022.10710

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