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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM49490

CRYPALERT

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM49490

Volume:

9 |

6 |

Jun 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM49490

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

NHL

NETHRA H L

DNC

Dr. NANDINI C

BBB

BHARATH B B

CGDK

CHANDAN GOWDA D K

CS

CHETAN S

CM

CRAIG MANOHAR

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Abstract

With today’s state of the world, personal safety is a big probability concern – particularly for women, children and the elderly. This project is the Stay Safe Security App that offers a novel emergency alerting system where scream detection is in place with location tracking as a way to keep users safe. The specific application of the app’s main functionality happens when a loud scream has been detected thus enabling an automatic alert – without the use of their phone operation (for users who can’t use their phone). [1] At the point of activation the app will capture the user’s live location and grab an encrypted emergency message to pre-registered individuals or localized authorities, using a cryptographic algorithm. Encrypting messages with a cipher ensures sensitive data is sent securely, keeping privacy intact and away from outside influences. The encryption algorithms such as AES or RSA can be leveraged to solidify the alerting system with threats posed by ICE (Intentional Cyber Exploitation). [15] This app is meant to be an available safety app, and is intended to be a smart, responsive and reliable safety application that combines machine learning for sound recognition and GPS for location tracking using cryptography for safe messages. It empowers users with a proactive self-defense mechanism in critical situations, making it a valuable contribution to modern personal security solutions. [15]

KEYWORDS

Scream Detection Emergency Alert System GPS Tracking Cryptographic Algorithm AES Encryption RSA Encryption

Cite This Article

NETHRA H L, Dr. NANDINI C, BHARATH B B, CHANDAN GOWDA D K, CHETAN S, CRAIG MANOHAR, "CRYPALERT," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 6, Jun 2025. https://doi.org/10.55041/IJSREM49490

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Publication Date

6/4/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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