The Survey and Proposal on Machine Learning Based Phishing Detection Techniques
Main Article Content
Abstract
Rapidly growing cyber infrastructure has reduced the cost of communication and internettherefore,normal people
and attackers usages it much frequently. Additionally cheaters are changing their faces therefore secure communication is
essential.Among a number of security challenges phishing is one of the issues where a fixed solution is not available.
Therefore identification of changing faces of phishing is needed to be investigated. In this work the current techniques based
on ML (machine learning)are investigated and categorize methods according to the features used and classifiers. Using the
observed techniques a model based ML is proposed. The basic design of the required phishing detection model is reported.
Additionally its functional aspects are discussed. Finally the summary is provided and future work is proposed.
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
