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IEEE Final Year Project Topics for CSE

Base Paper Title

Stealing Passwords by Observing Hands Movement

Our Title

IEEE Project Abstract

Use of mobile phones in public places opens up the possibilities of remote side channel attacks on these devices. We present a video-based side channel attack to decipher passwords on mobile devices. Our method uses short video clips ranging from 5 to 10 seconds each, which can be taken unobtrusively from a distance and does not require the keyboard or the screen of the phone to be visible. By relating the spatiotemporal movements of the user’s hand during typing and an anchor point on any visible part of the phone, we predict the typed password with high accuracy. Results on a dataset of 375 short videos of password entry process on Samsung Galaxy S4 phone show an exponential reduction in the search space compared to a random guess. Foreach key-press corresponding to a character in the passwords,our method was able to reduce the search space to an average of 2-3 keys compared to 30 keys if one has to guess the key randomly. Thus this paper reaffirms threats to smartphone users’conventional login in public places and highlights the threats in scenarios such as hiding the screen that otherwise gives the impression of being safe to the users.

Existing System

Drawback of Existing System

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Advantage of Proposed System

Enhancement from Base Paper

Architecture

Technology Used : Hardware & Software

Existing Algorithm

Proposed Algorithm

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Project Modules

Literature Survey

Conclusion

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