A Novel Framework for Real-Time IP Reputation Validation Using Artificial Intelligence

A Novel Framework for Real-Time IP Reputation Validation Using Artificial Intelligence

Автор: NW Chanaka Lasantha, Ruvan Abeysekara, MWP Maduranga

Журнал: International Journal of Wireless and Microwave Technologies @ijwmt

Статья в выпуске: 2 Vol.14, 2024 года.

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This research paper introduces and discusses deeply an approach to the real-time IP reputation (IPR) concept and its validation process for an Amazon Web Services Web Application Firewall (AWS WAF) backend application safeguarding using intelligence (AI) technologies. Also, the study examines existing IP reputation solutions over AWS WAF which Evaluates methodologies highlighting the difficulties faced and real-world challenges in validating IPR while utilizing OpenAI’s generative AI language models the framework aims to automate the extraction and interpretation of IP-related information from AWS S3 real-time log storage sources such as logs, and natural language reports based on JSON structure. These dedicated algorithms developed, and AI model concepts are powered by processing language enabling them to identify incidents and detect patterns of IP behavior that should indicate security risks. Also, models do not directly access databases, as they can analyze data from APIs featured and with local maintenance database such that AbuseIPDB to evaluate the reputation of IP addresses Integrating AI into the process of validating IPs can greatly improve cybersecurity operations by summarizing findings and providing insights ultimately saving time and resources.

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Real-time IP Reputation, AWS WAF Security, AI-powered IP Validation, OpenAI Language Models, Cybersecurity Automation

Короткий адрес: https://sciup.org/15019247

IDR: 15019247   |   DOI: 10.5815/ijwmt.2024.02.01

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