Abstract
From each to each year, from decades and decades, the fraud and scam are growing more and more powerful, although we cannot avoid it 100% since the fraud and scams using any method to make a crack of hole or other chances to steal that make a company and other e-commerce suffer losses in small or large numbers. This leads to new rules that can make e-commerce stand a chance and avoid the losses of either the e-commerce itself or the client that is trying to make online transactions. This paper has a goal to answer 5 research questions about face recognition as base protocol in online transaction. Method that we use is systematic literature review that has 7 steps from deciding research question until data synthesis. For the result from 5 research questions are answered very well, which is RQ1. How effective face recognition can decrease fraud identity on online transactions. RQ2. What kind of struggle and problem makes this technology unable to integrate with online payment. RQ3. What kind of perception and the acceptance of the user about the face recognition method for authentication in online transactions? RQ4. How far the technology is for face recognition can integrate with the system online payment transaction that increases the efficiency transaction with or without compromising security. RQ5. What kind of law of implication and etiquette from the user face recognition in online transactions and how can the system be made to follow the regulation that already exists. From that our conclusion is clear which is face recognition is safe and secure but since the technology is very well and good, then need proper technology to support it further.
Published Version
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