MORSE CODE BASED SECURED AUTHENTICATION SYSTEM THROUGH ARTIFICIAL INTELLIGENCE

Meghana C; Meenakshi Pradeep; Kusuma S; Monica R; Prof. Mala M

MORSE CODE BASED SECURED AUTHENTICATION SYSTEM THROUGH ARTIFICIAL INTELLIGENCE

April 2024

Vol-10, Issue-2

Paper ID: 23484

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer science and Engineering

Keywords

Morse Code Signal Processing Pattern recognition Biometrics Multifactor authentication Gaze based authentication Data encryption Security.

Abstract

Automatic Morse detection and recognition have been researched for several years, but some thorny problems in actual communication always restrict the performance of methods. In this article, by introducing deep learning technology, we propose a network named Morse Net that can simultaneously locate and decode Morse signals in the spectrogram. Morse Net uses shared convolutions to extract shared features for both the detection and recognition branches. The detection branch regresses bounding boxes based on signal centerlines, and the recognition branch decodes Morse fragments cropped from feature maps by a convolutional recurrent neural network (CRNN). The losses of two branches are combined to implement the end-to-end training. Morse code, also known as dots and dashes or dits and dahs, is a telecommunications device that encodes text characters as standardized sequences of two different signal durations. Samuel Morse, the inventor of the telegraph, is the name of the Morse code. Morse code is normally conveyed using an information-carrying medium like electric current, radio signals, visible light, or sound waves.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Meghana C	AMC Engineering College
2	Meenakshi Pradeep	AMC Engineering College
3	Kusuma S	AMC Engineering College
4	Monica R	AMC Engineering College
5	Prof. Mala M	AMC Engineering College

How to Cite

Use the following formats to cite this article in your research.

APA Style

C, Meghana, Pradeep, Meenakshi, S, Kusuma, R, Monica, & M, Prof. Mala (2024). MORSE CODE BASED SECURED AUTHENTICATION SYSTEM THROUGH ARTIFICIAL INTELLIGENCE. International Journal of Advance Research and Innovative Ideas In Education, 10(2), 4762-4766.

MLA Style

C, Meghana, et al. "MORSE CODE BASED SECURED AUTHENTICATION SYSTEM THROUGH ARTIFICIAL INTELLIGENCE." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, 2024, pp. 4762-4766.

IEEE Style

Meghana C, Meenakshi Pradeep, Kusuma S, Monica R, and Prof. Mala M, "MORSE CODE BASED SECURED AUTHENTICATION SYSTEM THROUGH ARTIFICIAL INTELLIGENCE," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, pp. 4762-4766, 2024.

Vancouver Style

C Meghana, Pradeep Meenakshi, S Kusuma, R Monica, M Prof. Mala. MORSE CODE BASED SECURED AUTHENTICATION SYSTEM THROUGH ARTIFICIAL INTELLIGENCE. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(2):4762-4766.

Harvard Style

C, Meghana, Pradeep, Meenakshi, S, Kusuma, R, Monica, & M, Prof. Mala (2024) 'MORSE CODE BASED SECURED AUTHENTICATION SYSTEM THROUGH ARTIFICIAL INTELLIGENCE', International Journal of Advance Research and Innovative Ideas In Education, 10(2), pp. 4762-4766.

Chicago Style

C, Meghana, et al. "MORSE CODE BASED SECURED AUTHENTICATION SYSTEM THROUGH ARTIFICIAL INTELLIGENCE." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 4762-4766.

Turabian Style

C, Meghana, et al. "MORSE CODE BASED SECURED AUTHENTICATION SYSTEM THROUGH ARTIFICIAL INTELLIGENCE." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 4762-4766.