A New Social Media-Driven Cyber Threat Intelligence

Cyber threats are projected to cause USD 10.5 trillion in damage the global economy 2025. Comprehending level of threat is core adjusting cyber posture at personal, organizational, and national levels. However, representing with a single score daunting task if scores generated from big complex data sources such as social media. This paper harnesses modern technological advancements artificial intelligence (AI) natural language processing (NLP) comprehend contextual information media posts related cyber-attacks electronic warfare. Then, using keyword-based index generation techniques, country level. Utilizing convolutional neural network (CNN), innovative process automatically detects any anomalies within countrywide explains root causes. The entire was validated live Twitter feeds 14 October 2022 27 December 2022. During these 75 days, AI-based detection, translation, sentiment analysis comprehended 15,983 tweets 47 different languages (while most existing works only work one language). Finally, daily indexes were for China, Australia, Russia, Ukraine, Iran, India. Using this intelligence, strategic decision makers can adjust their preparedness mitigating detrimental damages afflicted by criminals.