Adaptation Issues of Machine learning in Safety Digitization

EasyChair Preprint 5392

Abstract

The Internet community is the only set of irreplaceable space in today’s world and are used by millions for knowledge acquittance via the digital exchange between the landed gentry. The torrent of available e-contents in the Internet community attracts corporates and researchers for finding its factual weightage of formed data. It is the high time of digital diversification using various learning-based ML systems for hands-on fortification, making stylistic communication more understandable. Here, the authors try to adapt factual weightage of formed data through the Internet community using Machine Learning schemes. Hence, authors have chosen to emphasize cybersecurity, which is not well discussed and concerned against ethical contemplation from hackers' forums amidst Internet communities.

Keyphrases: Cybersecurity, Ethical contemplation, Internet community, machine learning

@booklet{EasyChair:5392,
  author    = {Gyana Ranjana Panigrahi and Nalin Kanta Barpanda and Manoranjan Bastia},
  title     = {Adaptation Issues of Machine learning in Safety Digitization},
  howpublished = {EasyChair Preprint 5392},
  year      = {EasyChair, 2021}}