FPGA Implementation of Real-Time Detection and Protection from Misinformation

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Abstract

The proliferation of misinformation threatens public trust and democratic processes. This paper presents a novel FPGA-based architecture for real-time misinformation detection using keyword- based pattern matching weighted scoring algorithms. The system comprises a tokenizer, keyword ROM with 16 risk-classified keywords, sequential matcher, and dual-threshold score accumulator. Implemented on Xilinx Virtex-7 FPGA, the design achieves 400-600 Mbps throughput with 50-200 microseconds latency, demonstrating 95% detection accuracy and 3% false positive rate. Comparative analysis shows 12.5× higher throughput and 19× better power efficiency than software implementations, consuming only 5W. The reconfigurable architecture enables runtime keyword updates for adaptive misinformation detection.

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Keywords

Field-Programmable Gate Array (FPGA); Misinformation Detection; Real-Time Text Processing; Hardware Acceleration; Content Moderation; Pattern Matching; Natural Language Processing (NLP); Digital Security; Keyword Matching