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<title>Project Report</title>
<link>http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/16902</link>
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<pubDate>Mon, 27 Apr 2026 00:16:45 GMT</pubDate>
<dc:date>2026-04-27T00:16:45Z</dc:date>
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<title>Phishing Detection Using Rule-Based Approaches: Email and URL  Filtering Techniques</title>
<link>http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/16537</link>
<description>Phishing Detection Using Rule-Based Approaches: Email and URL  Filtering Techniques
Bhuyain, Md. Arnob
Phishing, a well-known name in the field of cybersecurity. It is one of the most dangerous cyber- attacks in recent it or online. Phishing can be done using various techniques. Almost every few days, there are new techniques evolving to perform phishing attacks. By successfully making a phishing attack, an attacker can steal sensitive user information. This thesis proposes a rule-based detection system that analyzes email content and metadata such as subject lines, body text, URLs, and sender domains to identify phishing attempts. Using a carefully selected dataset of both authentic and phishing emails, a score system based on several rules was used to categorize emails. Accuracy, precision, recall, and F1-score were used to assess the system's performance following preprocessing and the application of detection rules. The results demonstrate that a rule-based strategy provides a simple and understandable way to detect phishing attempts, especially in settings with low resources. This rule-based approach to detecting phishing emails is lightweight, and it does not require large training data or complex interfaces. It can be easily integrated into email filtering systems for early phishing prevention.
Masters of Thesis
</description>
<pubDate>Mon, 11 Aug 2025 00:00:00 GMT</pubDate>
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<dc:date>2025-08-11T00:00:00Z</dc:date>
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<title>HireHunt</title>
<link>http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/16533</link>
<description>HireHunt
Rita, Nusrat Jahan
Rapid development of technology has changed the way individuals search for jobs and the way they can be accessed by their potential employers. Conventional means for finding jobs involve long procedures with minimal communication and a location barrier. Therefore, to counteract the effects of restrictions that exist in conventional means, HireHunt is built as a web-based system for job hunting that acts as an effective means for both seekers and their corresponding employers. This website enables job seekers to register and search for jobs that belong to various categories and companies and apply directly with a resume attachment. One of the unique features of this system is that it encompasses a communications system where the seekers can directly communicate with the employers to get instant clarification and updates that cut the usual waiting times involved with the recruitment procedure. for the administrative interface, employers and admins can formulate and modify postings for jobs and view seekers' details in a systematic way
Project report
</description>
<pubDate>Sun, 10 Aug 2025 00:00:00 GMT</pubDate>
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<dc:date>2025-08-10T00:00:00Z</dc:date>
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