Phishing Attack Detection using Python and Machine Learning
| Autor: | Shaumaya Ojha, Subbulakshmi T, Jishnu Saurav Mittapalli |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Password
Computer science business.industry Information security Python (programming language) Machine learning computer.software_genre Phishing Field (computer science) Domain (software engineering) Information sensitivity SQL injection Artificial intelligence business computer computer.programming_language |
| Zdroj: | 2021 5th International Conference on Trends in Electronics and Informatics (ICOEI). |
| DOI: | 10.1109/icoei51242.2021.9452975 |
| Popis: | In this digital era, information security has become a very important domain as all sorts of information are publicly available in the web. Even though the security measures and the researchperformed in this field are evolving, still different types of security attacks are prevailing. Also information has become a great business importance in recent times. Even the data of large companies are prone to attacks and are in the danger of losing their data. In particular, human weaknesses are targeted by various social engineering techniques to manipulate people and steal their sensitive information. Inspite of the advances, information security domain is very young and still it has a wider research scope. More efficient research works are required to analyze the emerging security attacks like Man-in-the-middle, phishing attack, drive-by attack, password attack, SQL injection attack, etc. This paper mostly concentrates on phishing attacks by studying and analyzing the PCAP file generated by wireshark at the time of attack and the results are presented in a visualized and understandable format. After which the attack will be categorized. The other method will utilize the machine learning algorithm. In addition to this, different methods are presented to prevent the phishing attacks. |
| Databáze: | OpenAIRE |
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