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The Survey of Data Stealing on Virtual School Based on NFC

12 pagesPublished: September 20, 2022

Abstract

In this Digital Era, we are facing a lot of threats to protect our data. One of the latest technology on the short raneg communication is Near-Field Communication (NFC) with so many implications of technology that ranging from Non-physical access control to digital payments. These applications are frequently proclaimed as being more secure, as they require near physical vicinity and don't include Wi-Fi or versatile systems. In any case, these frameworks are still defenseless to security assaults at the time of the exchange, as they require small to no extra confirmation from the user’s end. The problem that is the main concern of our paper is about NFC Data Stealing. Not everyone realized that their data get stolen by the Cyber Criminal. A lot of people complacent by NFC Technology that makes data transmission a lot easier, but they only see the good side and close their eyes on the bad side. The problem with NFC is that the data becomes a lot more accessible, and this opens wide the windows for the cyber criminals to steal any data as they like. This opens a new window for them to steal any personal data in no time. Our research method is a survey paper that is based on a real-life case, this method can help us identify a lot of case types. These findings may help all of us to understand more about the problem that we don't even realize.

Keyphrases: Data Stealing, NFC, Virtual School

In: Tokuro Matsuo (editor). Proceedings of 11th International Congress on Advanced Applied Informatics, vol 81, pages 165--176

Links:
BibTeX entry
@inproceedings{IIAIAAI2021-Winter:Survey_of_Data_Stealing,
  author    = {Andrew Martin Tan and Filip Beniah Anggara and Jennifer Goldwin and Ford Lumban Gaol and Tanty Oktavia and Chew Fong Peng and Suzanna Suzanna},
  title     = {The Survey of Data Stealing on Virtual School Based on NFC},
  booktitle = {Proceedings of 11th International Congress on Advanced Applied Informatics},
  editor    = {Tokuro Matsuo},
  series    = {EPiC Series in Computing},
  volume    = {81},
  pages     = {165--176},
  year      = {2022},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {https://easychair.org/publications/paper/fqqXt},
  doi       = {10.29007/rxgl}}
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