System for event detection and trust verification in digital communications, has ML model that is trained to classify events and assess credibility based on textual and contextual features and blockchain ledger records verified events and trust scores in immutable manner
	ABINAYA K; REDDY G L N; VARUNKUMAR B
	2025-03-23
专利权人	ABINAYA K (ABIN-Individual) ; REDDY G L N (REDD-Individual) ; VARUNKUMAR B (VARU-Individual)
申请日期	2025-03-23
专利号	IN202541026684-A
成果简介	NOVELTY - The system has a natural language processing (NLP) engine for extracting and analyzing event-related data from various sources. A machine learning (ML) model is trained to classify events and assess credibility based on textual and contextual features. A blockchain ledger records verified events and trust scores in an immutable manner. The NLP engine processes structured and unstructured data from news articles, social media, and sensor feeds to extract key event features. The ML model employs deep learning algorithms to detect misinformation, bias, and anomalies in reported events. A consensus mechanism is used to validate and store event authenticity scores on a decentralized blockchain network. USE - System for event detection and trust verification in digital communications. Uses include but are not limited to financial transactions, news dissemination, and social media activities. ADVANTAGE - The system can be applied to domains such as journalism, finance, cybersecurity, and governance to ensure the authenticity and reliability of digital information. An automated trust verification mechanism is provided to combat fake news, fraudulent activities, and unreliable information. DETAILED DESCRIPTION - An INDEPENDENT CLAIM is included for a method for blockchain-based event detection and trust verification. DESCRIPTION OF DRAWING(S) - The drawing shows a schematic block diagram of a system for event detection and trust verification in digital communications.
IPC 分类号	G06N-005/022 ; G06Q-020/38 ; G06Q-050/00 ; H04L-051/212 ; H04L-009/32
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13562
专题	中国科学院新疆生态与地理研究所
作者单位	1.ABINAYA K (ABIN-Individual) 2.REDDY G L N (REDD-Individual) 3.VARUNKUMAR B (VARU-Individual)
推荐引用方式 GB/T 7714	ABINAYA K,REDDY G L N,VARUNKUMAR B. System for event detection and trust verification in digital communications, has ML model that is trained to classify events and assess credibility based on textual and contextual features and blockchain ledger records verified events and trust scores in immutable manner. IN202541026684-A[P]. 2025.

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