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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM62490
Volume:
10 |
5 |
May 2026
Pages:
1-63
Publication Frequency:
Monthly (12 issues per year)
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.
Assistant Professor, Computer Science and Engineering
Bharath Institute of Higher Education and Research, Chennai,India.
Computer Science and Engineering
Bharath Institute of Higher Education and Research, Chennai,India.
Computer Science and Engineering
Bharath Institute of Higher Education and Research, Chennai,India.
Computer Science and Engineering
Bharath Institute of Higher Education and Research, Chennai,India.
Computer Science and Engineering,
Bharath Institute of Higher Education and Research, Chennai,India.
The Stealth Voice Communication System with Blockchain-Based One-Time Token is a secure communication framework designed to enable private voice communication between users. The system follows a layered architecture consisting of a Client Layer, Application Server, Blockchain Layer, and Communication Layer. A one-time token is generated and verified through blockchain smart contracts to ensure secure authentication and prevent unauthorized access. After successful verification, a peer-to-peer voice connection is established using WebRTC with encrypted communication. This approach improves privacy, security, and reliability in voice communication systems. Stealth Voice Communication System Using Blockchain-Based Identity Verification is a secure communication framework designed to protect user identity and ensure trustworthy voice-based interaction. The project focuses on creating a communication environment where users can exchange voice messages or conduct voice communication without revealing sensitive identity details to unauthorized parties. By integrating blockchain-based identity verification, the system adds an additional layer of trust, authenticity, and security to the communication process. The proposed system uses blockchain technology to store and verify identity credentials in a decentralized and tamper-resistant manner. This helps prevent impersonation, unauthorized access, and identity fraud. At the same time, the voice communication module ensures private and efficient communication between verified users. The system is designed to be lightweight, secure, and suitable for applications where confidentiality and identity protection are important. Overall, the project presents a modern approach to secure communication by combining privacy, authentication, and decentralized verification in a single solution. The main idea of the project is to ensure that only verified users can access and participate in the voice communication process. Blockchain is used to store and validate identity information in a decentralized manner, which makes the verification process highly secure and resistant to tampering. Unlike traditional centralized systems, blockchain reduces the risk of identity theft and unauthorized modification of records. At the same time, the stealth voice communication module helps hide or protect sensitive user information while allowing secure voice exchange between authenticated users. This makes the system suitable for applications where confidentiality, anonymity, and trust are essential.
KEYWORDS
The proposed system presents a secure and privacy-focused approach to voice communication by combining blockchain-based authentication with stealth communication. It improves user verification, protects confidential voice data, and reduces the risk of unauthorized access. The experimental analysis shows that the system performs reliably under the tested conditions, though minor limitations such as delay, network dependence, and resource usage were observed. Overall, the model is practical, effective, and suitable for secure communication applications. The proposed system provides a secure and reliable method for voice communication by integrating blockchain-based authentication with stealth communication. This combination improves access control, ensures that only authorized users can enter the system, and helps protect sensitive voice data from unauthorized exposure. As a result, the system addresses two major concerns in communication platforms: security and privacy. The experimental analysis shows that the system performs well under the tested conditions. It maintains stable authentication, supports confidential communication, and works consistently across repeated trials. Although some practical limitations such as delay, network dependence, and higher resource usage were observed, the overall performance remains satisfactory and useful for real-world applications. The proposed system effectively combines blockchain-based authentication and stealth communication to provide secure and private voice communication.
[1] Hand gesture recognition communication system: For silent speakers - Gesture-to-speech for discreet talking, like hidden call triggers. https://ieeexplore.ieee.org/document/6887815 [2] Hand Gesture Communication using Deep Learning - Gesture learning for interfaces, aligns with sensor triggers.https://ieeexplore.ieee.org/document/9322784 [3] SOM-based hand gesture recognition for virtual interactions - ML for gesture detection, core to your algorithms. https://ieeexplore.ieee.org/document/5759659 [4] WISE: Waveform Independent Signal Embedding for Covert Communication - Hidden signals for LPD, matches zero-trace VoIP. https://ieeexplore.ieee.org/document/10360170 [5] Design And Implementation Of Gesture Based Human Computer Interaction - Gesture HCI for mobile/wearables. https://ieeexplore.ieee.org/document/9404672 [6] The design and implementation of invisible eavesdropping - Hidden mobile audio access. https://ieeexplore.ieee.org/document/7015423 [7] Gesture Recognition Framework for Teleoperation of Infrared Devices - Wearable gesture controls. IEEE Xplore [8] Invisible messenger: visually steerable sound beam forming - Hidden audio privacy tech. https://ieeexplore.ieee.org/document/1389770 [9] Privacy-Preserving Covert Communication Using Encrypted Wearable Gesture Recognition - Encrypted gestures for covert channels. https://arxiv.org/pdf/2602.07936.pdf [10] Detecting Intrusions using System Calls: Alternative Data Models - Background service security. https://www.computer.org/csdl/proceedings-article/sp/1999/01760133/12OmNwCaCz2
Publication Date
5/5/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
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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