Browsing by Author "Meherhomji, V."

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    An improved edge detection technique
    (Inderscience Publishers, 2021) Meherhomji, V.; Shenoy, K.B.A.
    Traditional edge detection methods tend to apply a single threshold over the entire image. However, natural images rarely have uniform illumination throughout, thus just a single threshold across the image is insufficient. This paper explores a method to recursively divide an image into regions and provide each region with an optimal threshold. For each region, we have calculated the threshold automatically using Otsu’s binarisation method. The method’s key goal is to reduce the effect of noise present in images, which leads to the elimination of false edges. It does this while also ensuring that true edges present within the image are not lost. We have proved that asymptotic time complexity of the proposed method is O(MNlog?) (where ? = min{M, N}). We have compared the performance of our method with the Canny edge detection technique. The Canny edge detector is a well known and widely used edge detection technique which outperforms all the classical edge detection techniques. The results show that our method outperforms the Canny edge detection technique. PSNR values for our method are much higher than that of the Canny edge detection algorithm for almost all the images considered from BSD500 benchmark dataset. © 2021 Inderscience Enterprises Ltd.
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    Automated versus Manual Approach of Web Application Penetration Testing
    (Institute of Electrical and Electronics Engineers Inc., 2020) Singh, N.; Meherhomji, V.; Chandavarkar, B.R.
    The main aim of this work is to find and explain certain scenarios that can demonstrate the differences in automated and manual approaches for penetration testing. There are some scenarios in which manual testing works better than automatic scripts/vulnerability scanners for finding security issues in web applications. In some other scenarios, the opposite may be true. The concepts of various web application vulnerabilities have been used for testing, including OWASP1Open Web Application Security Project; online community dedicated to web security Top 10, using both manual and automatic approaches. Automation tools and scripts have been used and tested to see what could potentially go wrong if attackers exploit such vulnerabilities. Also, certain scenarios have been used which determine whether one approach is better than the other for finding/detecting security issues in web applications. Finally, the work concludes by providing results in the form of pros-and-cons of both approaches, which it realises after carrying this out. © 2020 IEEE.