Abstract
The most unbeatable technology, Internet brings to people for communication is social networks. Starting from exchange of text messages it goes up to posting of images and videos in social networking sites which are viewed by many people. When these social networks are available to all the users for free, it will lead to various types of security issues. Image security has been a topic of research over decades. Enhancements to individual techniques and combinations proposed till date have offered different levels of security assurances. This paper aim to present a technique for secure sharing of image posts in social network. The significant feature of the scheme lies in the selection of security technique based on image content, evaluation of peers with whom the image can be shared based on text classification, transliteration and tone analysis. The proposed scheme a cost effective solution as it does not require any additional hardware. The utility of the model is demonstrated by mapping the scheme with Facebook and analyzing its performance through simulation.
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Neethu, M.R., Harini, N. (2018). Securing Image Posts in Social Networking Sites. In: Hemanth, D., Smys, S. (eds) Computational Vision and Bio Inspired Computing . Lecture Notes in Computational Vision and Biomechanics, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-319-71767-8_7
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DOI: https://doi.org/10.1007/978-3-319-71767-8_7
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