International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,April 2018,

Topic : Detecting Mobile Malicious Webpages in Real Time

Authors:G. Ashok Kumar || A. Venu Gopal, I. Abhilash balu, M. M. V. Vamsi

Abstract:Mobile specific webpages disagree considerably from their desktop counterparts in content, layout and practicality. consequently, existing techniques to noticemalicious websites area unit unlikely to figure for such webpages. during this paper, we have a tendency to style and implement knock cold, a mechanism that distinguishes between malicious and benign mobile webpages. knock cold makes this determination supported static options of a webpage starting from the amount of iframes to the presence of identified dishonorable phone numbers. First, we have a tendency to by experimentation demonstrate the requirement for mobile specific techniques so establish a spread of recent static options that extremely correlate with mobile malicious webpages.We then apply knock cold to a dataset of over 350,000 identified benign and malicious mobile webpages and demonstrate ninetieth accuracy in classification. Moreover, we have a tendency to discover, characterize and report variety of webpages lost by Google Safe Browsing and VirusTotal, however detected by knock cold. Finally, we have a tendency to build a browser extension exploitationknock cold to guard users from malicious mobile websites in time period. In doing thus, we offer the primary static analysis technique to notice malicious mobile webpages.

Keywords: Mobile security, webpages, internet browsers, machine learning

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DOI: 01.1617/vol5/iss4/pid48925

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Dr. Allon Guez
Professor, Drexel University,

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
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