A Secure Cloud Password and Secure Authentication Protocol for Electronic NFC Payment Between ATM and Smartphone
Bibliographic record
Abstract
NFC (Near Field Communication) is a radio frequency wireless communication technology for less distance (less than 10cm).It operates at a frequency of 13.56 MHz recently, it has been used for electronic payment between an Automated Teller Machine (ATM) and a Smartphone.It can be menaced by attacks which stole personal data like the user password, the user bank account number ant its amount.So, it must be protected and secured.In this paper, we present a cloud secured password, a simple secured authentication protocol, a simple proposed hash function and a simple test of intrusion to secure the NFC payment between an ATM and a Smartphone against eleven attacks.The analysis of our solution proves that it defends against eleven attacks; it is cost-effectiveness in terms of hardware, cost of calculation, storage space and cost of communication.The proposed technique of password and the protocol use simple cryptography operations, a simple hash function and simple operators.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".