Detecting Mobile Malicious Web pages in Real Time

Abstract

Detecting Mobile Malicious Web pages reports in real time Mobile specific Web pages differ considerably from their desktop counterparts in content, layout and practicality. Consequently, existing techniques to noticeable Web sites area unit are unlikely to appear for such Web pages.

We’ve developed during this paper a tendency towards styling and using knock cold, which differentiates between malicious and benign web pages. Knock cold makes this determination supported static web page options starting from the amount of iframes to the presence of identified dishonorable phone numbers.

Progressively using mobile devices area unit to access the network. Despite great advances in the measurement of inprocessor power and information, however, the browsing expertise on mobile devices is significantly different.Most of these variations will be attributed to a dramatic reduction in screen size, the content, practicality and layout of mobile devices.

Disadvantages

• Projects on Detecting Mobile Malicious Existing tools such as Google Safe Browsing are not enabled on the mobile versions of browsers, thereby precluding mobile users.
• DNS based mechanisms do not provide deeper understanding of the specific activity implemented by a webpage or domain.
• Downloading and executing each webpage impacts performance and hinders scalability of dynamic approaches.
• Cantina suffers from performance problems due to the time lag involved in querying the Google search engine. Moreover, Cantina does not work well on webpages written in languages other than English.

Advantages

• KAYO also detects a number of malicious mobile webpages not precisely detected by existing techniques such as VirusTotal and Google Safe Browsing.
• The results of our experiments demonstrate the need for mobile specific techniques for detecting malicious webpages.
• Projects on Detecting Mobile Malicious To the best of our knowledge kAYO is the first technique that detects mobile specific malicious webpages by static analysis.
• Moreover, the mobile specific design of Kayo enables detection of malicious mobile webpages missed by existing techniques.
• Finally, our survey of existing extensions on Firefox desktop browser suggests that there is a paucity of tools that help users identify mobile malicious webpages.

Conclusion

Dtecting Mobile Malicious reports on web pages area unit is considerably different in content, practicality and layout from their desktop counterparts. Existing techniques are therefore not working well for mobile specific pages to exploit desktop webpages to notice malicious behavior.We tend to develop and design a quick and reliable static analysis technology to detect mobile, malicious web pages.
 

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