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M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 4 Issue 3, March 2015 | Popularity: 6.7 / 10
Design of Application to Detect Images Embedded with Malicious Programs
Robert T. R. Shoniwa, Geogen George
Abstract: In todays world, malware can be propagated to victim systems in an increasingly diverse number of ways. One of these methods involves the passive distribution of malware by embedding in JPEG images which goes on to highlight that even simple images can be manipulated maliciously by criminals. The aim of this paper is to design an application that partially acts as a steganalysis tool to scan, detect and notify the user of the presence of a payload in either one or a set of selected images. it will then proceed to analyze the payload and verify whether it is a malicious program or not. It will also give a brief summarized file analysis of the detected payload. Ultimately, this will help highlight the need to consider images as a potential attack vector and then also offer a corresponding solution to this problem.
Keywords: Steganography, Steganalysis, malware analysis, image analysis, image compression
Edition: Volume 4 Issue 3, March 2015
Pages: 1899 - 1903
Make Sure to Disable the Pop-Up Blocker of Web Browser
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Computer Science & Engineering, India, Volume 9 Issue 2, February 2020
Pages: 6 - 9A Review Paper on Text Detection, Classification and Segmentation
Dr. Poonam Patel, Shweta Gandevia
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Computer Science & Engineering, India, Volume 8 Issue 6, June 2019
Pages: 144 - 147Melanoma Skin Cancer Detection by using Segmentation
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Computer Science & Engineering, India, Volume 8 Issue 4, April 2019
Pages: 168 - 170A Review on Computer Aided Detection System for Mammographic Images
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Computer Science & Engineering, India, Volume 9 Issue 1, January 2020
Pages: 524 - 527A Review Paper on Network Security and Cryptography
Preeti Dewangan
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Computer Science & Engineering, China, Volume 9 Issue 4, April 2020
Pages: 36 - 40Geometric Correction Algorithm for Hyperspectral Images based on GPS
WANG Li, WANG Wei, LIU Boni