Boddu Vikas Teja

Title: Innovations by Boddu Vikas Teja

Introduction

Boddu Vikas Teja is an accomplished inventor based in Chandanagar, India. He has made significant contributions to the field of telecommunications, particularly in fraud prevention technologies. With a total of 3 patents, his work focuses on leveraging artificial intelligence and machine learning to enhance security measures in voice communications.

Latest Patents

One of his latest patents is titled "Intelligent technical protocol based approach leveraging AI-ML to block vishing scammers." This innovative system detects and prevents vishing attacks through an integrated framework that combines SIP header customization, STIR/SHAKEN frameworks, AI/ML analysis, and real-time speech analysis using the Viterbi algorithm. The system begins with call initiation, embedding authentication information in the SIP header. The SIP data is transmitted and verified using STIR/SHAKEN frameworks, ensuring the authenticity of the caller's identity. Verified data is cross-referenced with third-party databases and analyzed by an AI/ML engine to detect anomalies. If potential fraud is detected, the call is blocked, and the customer is notified. Calls that pass initial checks are further analyzed using the Viterbi algorithm, which converts speech to text and identifies suspicious patterns. An anomaly pattern detector processes the converted text to detect vishing indicators, terminating the call if a match is found. This multi-layered approach ensures robust protection against vishing, enhancing the security and reliability of voice communications while safeguarding users from fraud.

Another notable patent is the "Advanced SIP-based caller identification and voicemail analysis system for fraud prevention in telecommunications." This system employs a multi-layered approach to fraud prevention by leveraging a machine learning engine integrated with the Session Initiation Protocol (SIP) to attempt caller identification before transitioning to a voice call. If SIP-based identification remains inconclusive, an anomaly detection engine employing the Viterbi algorithm analyzes the caller's speech patterns during voicemail messages. The Viterbi algorithm converts spoken language into text, identifying suspicious characteristics such as unusual speech patterns, inconsistencies, and keywords associated with scams. If suspicious characteristics are detected, the system automatically blocks callback attempts and notifies the customer of potential spam or unwanted calls. This proactive approach addresses both live and recorded fraudulent calls, enhancing the security of telecommunications by preventing fraudulent interactions before they can cause harm. The system continuously learns from new data, adapting to evolving fraud tactics, providing robust, long-term protection for