Titlebook: Data Science and Security; Proceedings of IDSCS Dharm Singh Jat,Samiksha Shukla,Durgesh Kumar Mish Conference proceedings 2021 The Editor(s

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https://doi.org/10.1007/978-1-4419-0730-1combination of current time value and back-end server-generated value with some random operations on that combined value. This value is 32 bit in size which will give a combination of 8-digit numbers. The proposed OTP algorithm is easier to develop on the other side difficult to reverse engineer and gives efficient performance.

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An Approach to Predict Potential Edges in Online Social Networks,roaches. In this paper, we have tried to develop an edge prediction model which will be trained using a supervised machine learning technique. For experimental analysis, Wikipedia network has been used.

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A Novel Approach of OTP Generation Using Time-Based OTP and Randomization Techniques,combination of current time value and back-end server-generated value with some random operations on that combined value. This value is 32 bit in size which will give a combination of 8-digit numbers. The proposed OTP algorithm is easier to develop on the other side difficult to reverse engineer and gives efficient performance.

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