- Saturday, Jan 3rd, 2026
| TITLE | Intelligent Phishing URL Detection using Data Science |
|---|---|
| ABSTRACT | In recent years, the Internet has become an essential part of our daily lives. 5.44 Social media is used by billions of people and the Internet worldwide, with more than 90% of them using social media. In the past ten years, several incidents have raised The necessity of digital education, commerce, and employment, notably COVID-19, which has accelerated the use of digital services. However, the security of publicly available data remains a serious issue. Network security is a concept, method, and approach that has been in use as long as networks. As long as information is shared, attacks, theft, and fraud attempts will persist. This article looks at many strategies to reduce the exploitation of personal information as well as defences against such risks. The newly created dataset was subjected to a Random Forest classifier following the merging of several datasets. There have been efforts to enhance the dataset and increase the model's accuracy, even if the precision of the linked models is good enough. The freshly proposed dataset was used to achieve accuracy. Artificial intelligence is crucial for strengthening cybersecurity defences, but it also facilitates hacks. Because of its dual nature, artificial intelligence can be employed for both offensive and defensive purposes in the cyberspace. |
| AUTHOR | Shravani R, Pooja Taragar PG Student, Dept. of MCA, City Engineering College, Bengaluru, India Assistant Professor, Dept. of MCA, City Engineering College, Bengaluru, India |
| VOLUME | 12 |
| DOI | DOI:10.15680/IJARETY.2025.1206028 |
| 28_Intelligent Phishing URL Detection using Data Science.pdf | |
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