This paper is published in Volume-5, Issue-2, 2019
Area
Security
Author
G. Jagadish
Co-authors
L. Jaswanth, K. Sowjanya, P. Sri Harsha, M. Nikhil Kumar
Org/Univ
Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh, India
Pub. Date
18 March, 2019
Paper ID
V5I2-1278
Publisher
Keywords
Virus and worms, Malware detection framework, Client, server, Wireless LAN

Citationsacebook

IEEE
G. Jagadish, L. Jaswanth, K. Sowjanya, P. Sri Harsha, M. Nikhil Kumar. A novel prototype to secure network using malware detection framework against malware attack in wireless network, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
G. Jagadish, L. Jaswanth, K. Sowjanya, P. Sri Harsha, M. Nikhil Kumar (2019). A novel prototype to secure network using malware detection framework against malware attack in wireless network. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
G. Jagadish, L. Jaswanth, K. Sowjanya, P. Sri Harsha, M. Nikhil Kumar. "A novel prototype to secure network using malware detection framework against malware attack in wireless network." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

Abstract

A new and novel proposed algorithm based on malware detection has been used that overcomes the disadvantages of the existing algorithms and helps to eliminate viruses and worms from entrusted environment. In the wireless networks suffers from various spyware programs that prevents access to legitimate users who obtains services from target web server. In our proposed prototype helps to authenticate the sender to make the dynamic rule set to avoid the formations of unavailable networks which any user who obtain web services. In our proposal architecture diagnose malware whether malware based data has been really being sent to the valid user or is it being morphed by the attacker in the middle. The proposed algorithm has been tested against various existing algorithms to study how effectively the algorithm is working, and how effectively it is overcoming the drawbacks of the present malware detection algorithms. The algorithm is projected to serve the purpose of prevention of being used malware based programs to drop it by the user and also to identify that the non-infectious message is reaching only to the valid user.
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