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Tarun Kumar
Uttarakhand Technical University
Computer Science & IT Electrical & Electronics Engineering

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Improved method for image security based on chaotic-shuffle and chaotic-diffusion algorithms Sanjeev Sharma; Tarun Kumar; Ravi Dhaundiyal; Amit Kumar Mishra; Nitin Duklan; Ashish Maithani
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 1: February 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (984.164 KB) | DOI: 10.11591/ijece.v9i1.pp273-280

Abstract

In this paper, we propose to enhance the security performance of the color image encryption algorithm which depends on multi-chaotic systems. The current cryptosystem utilized a pixel-chaotic-shuffle system to encode images, in which the time of shuffling is autonomous to the plain-image. Thus, it neglects to the picked plaintext and known-plaintext attacks. Also, the statistical features of the cryptosystem are not up to the standard. Along these lines, the security changes are encircled to make the above attacks infeasible and upgrade the statistical features also. It is accomplished by altering the pixel-chaotic-shuffle component and including another pixel-chaotic-diffusion system to it. The keys for diffusion of pixels are extracted from the same chaotic arrangements created in the past stage. The renovation investigations and studies are performed to exhibit that the refreshed version of cryptosystem has better statistical features and invulnerable to the picked plaintext and known plaintext attacks than the current algorithm.
Invesitigation of Malware and Forensic Tools on Internet Tarun Kumar; Sanjeev Sharma; Ravi Dhaundiyal; Parag Jain
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 5: October 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (184.941 KB) | DOI: 10.11591/ijece.v8i5.pp3179-3186

Abstract

Malware is an application that is harmful to your forensic information. Basically, malware analyses is the process of analysing the behaviours of malicious code and then create signatures to detect and defend against it.Malware, such as Trojan horse, Worms and Spyware severely threatens the forensic security. This research observed that although malware and its variants may vary a lot from content signatures, they share some behaviour features at a higher level which are more precise in revealing the real intent of malware. This paper investigates the various techniques of malware behaviour extraction and analysis. In addition, we discuss the implications of malware analysis tools for malware detection based on various techniques.
Co-Authors Amit Kumar Mishra Ashish Maithani Nitin Duklan Parag Jain Ravi Dhaundiyal Ravi Dhaundiyal Sanjeev Sharma Sanjeev Sharma