International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Portable Cyber Security Toolkit Device for Mobile System |
|---|---|
| ABSTRACT | “Phishing” attacks, in which an attacker masquerades as a reputable website in order to steal confidential data, has been an ever-increasing threat on the Internet. Standard phishing techniques employing blacklisting or heuristics have shown poor performance in recent years because of the dynamic way in which these phishing attacks are designed. This paper describes an extensible machine learning system named “Fresh Phish” designed specifically for detecting phishing websites. Fresh-Phish proposes a sophisticated method for the extraction of features and handling of the dataset, ensuring the continuous update of phishing and legitimate websites. The proposed system employs 29 optimal features based on URLs, contents, and servers. This helps reduce the complexity of the process while achieving impressive results with a high level of accuracy. The classifiers based on supervised machine learning techniques handle the imbalanced dataset. The experimental analysis confirms the efficiency of the proposed system for the detection of phishing websites and the generation of real-time notifications for the system. |
| AUTHOR | VANUSHA M, TANU G R, VIDHYASHREE P, VARSHINI SUSHMA, DR. MALATESH S H Student, Dept. of Computer Science and Engineering, MS Engineering College, Bengaluru, Karnataka, India HOD, Dept. of Computer Science and Engineering, MS Engineering College, Bengaluru, Karnataka, India |
| VOLUME | 180 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1401049 |
| pdf/49_Portable Cyber Security Toolkit Device for Mobile System.pdf | |
| KEYWORDS | |
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