| Autor: |
Vysakh Murali, Nithin K M, Nithin Valiyaveedu, Sangeetha Jamal, Roshan Reju |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
2021 International Conference on Communication, Control and Information Sciences (ICCISc). |
| DOI: |
10.1109/iccisc52257.2021.9484929 |
| Popis: |
From the emergence of networking technologies and the access to websites, there are always threats associated in one way or the other to a user. Cyber Attacks has been a major problem. Even during the current pandemic situation of Covid-19 we have seen an escalation in the number of cyberattacks. There are many kinds of attacks, phishing being one of them. There has been a rise in the number of phishing attacks recently and many prestigious companies like Facebook have been victims of such attacks. Thus, it is observable that phishing attacks have been a major issue in the IT sector and it must be taken into account seriously. In this paper we try to efficiently study and analyse the detection of phishing sites that have been haunting people since the emergence of the internet era.Three types of detection techniques have been discussed in this paper: An HTML detection method, URL detection methods and lastly the visual similarity based approach. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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