Abstract
Today World Wide Web has emerged as a second world. Everything we can think of is now available on this digital world. In the real world there exists many kinds of people. Some are good, some are bad, and some are trustworthy while the rest are liars. Similarly, in the digital world, there exits many websites out of which some are good while the rest are useless. So the big question is how can one know which content on www is trustworthy as every information can be changed with a few keystrokes. A lot of algorithms have been developed to identify the trust rank of a website, but none of them are up to the mark. So through this paper, we propose a simple mechanism by which we can test a website and automatically calculate the trust score of the website on the basis of not a single parameter but a cumulative combination of five parameters. Various test results have been included in this paper which prove that the method proposed in this paper is much better than the conventional methods which test websites manually.
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Verma, M.K., Kumar, S., Abhishek, K., Singh, M.P. (2017). Automatization of AAOCC to Find Trust Score of Websites. In: Lobiyal, D., Mohapatra, D., Nagar, A., Sahoo, M. (eds) Proceedings of the International Conference on Signal, Networks, Computing, and Systems. Lecture Notes in Electrical Engineering, vol 395. Springer, New Delhi. https://doi.org/10.1007/978-81-322-3592-7_18
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DOI: https://doi.org/10.1007/978-81-322-3592-7_18
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