International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Security Analysis and Implementation of Sound Signature Based Email Authentication System |
|---|---|
| ABSTRACT | Traditional email authentication mechanisms commonly rely on passwords or two-factor tokens, which remain vulnerable to phishing, credential theft, and replay attacks. This work presents the design, implementation, and security analysis of a sound signature based email authentication system, introducing an additional biometric-like verification layer derived from unique acoustic patterns produced by the user. With the rise of phishing attacks, credential theft, and email account breaches, traditional password-based authentication is no longer sufficient to ensure secure user access. This research presents the design, implementation, and security evaluation of a sound-signature image based email authentication system, a novel multimodal verification approach that combines acoustic identity features with image-encoded signature data. The system captures a user’s audio input along with an associated image representation that encodes the sound signature through spectrogram or feature-mapping techniques. Noise-resilient preprocessing and environmental adaptation strategies further enhance reliability across diverse usage conditions. A comprehensive security analysis evaluates resistance against replay attacks, synthetic audio generation, image forgery, and multimodal spoofing attempts. Experimental results demonstrate high authentication accuracy and significantly reduced false-acceptance rates compared to traditional email login mechanisms. The study highlights the potential of combining sound signatures and image-based feature encoding to create a strong, user-friendly, and tamper-resistant authentication layer for modern email systems. |
| AUTHOR | M.SHAJITH, C.VANESSA PG Scholar, Department of Master of Computer Applications, R.V.S. College of Engineering, Dindigul, Tamil Nadu, India Assistant Professor, Department of Master of Computer Applications, R.V.S. College of Engineering, Dindigul, Tamil Nadu, India |
| VOLUME | 185 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1406084 |
| pdf/84_Security Analysis and Implementation of Sound Signature Based Email Authentication System.pdf | |
| KEYWORDS | |
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