Design A Secure Customize Search Engine Based on Link 's Metadata Analysis
Ali A. Alani, Adil Al-Azzawia · 2025
The fast growth of the Internet and the ever-growing size of online data have created significant challenges in providing users with the most relevant and more secure search results. Traditional search engines often struggle to deliver accurate information and are vulnerable to security threats, such as phishing attacks and other online risks. The lack of customized search engines tailored to identify unsecure website in real time without depending on the black list approach calls attention to a significant gap in addressing various user needs and navigating intricate datasets effectively specially to overcome zero-day attack. This paper aim to proposes a Secure Custom Search Engine (SCSE) system to handle these limitations by enhancing the relevance and security of retrieved search results through metadata-driven analysis. The security-checking process examines key metadata features like SSL certificate details, HTTPS usage, WHOIS country, website age, and other relevant indicators to classify links as either suspicious or legitimate. The results show that the system enhances boosts user safety by identifying suspicious links based on metadata analysis.