Leveraging SDN and Blockchain for Robust Spear Phishing Detection using TinyBEART
Brij Bhooshan Gupta, Akshat Gaurav, Jinsong Wu, Sachin Sharma, Kostas E. Psannis, Kwok Tai Chui · 2024
Spear phishing is a variant of phishing attacks, in which attacker send a customised malicious email to the high officials of the victim company. The spear phishing email consists of malicious links or malware the could infect the victim machine and hinders the working of victim organization. There are many machine learning and deep learning models available for the detection of phishing email; however they did integrates other technologies for the development of final frameworks. In this context, we used software -defined-network (SND), blockchain, and transformer (TineyBERT) for the detection of spear phishing emails. Our proposed model is is trained in 5 epochs, which makes it lightweight and the accuracy of 97% makes it efficient. The SDN controller is used to filter the traffic according to the feedback of TineyBERT and finally the information is get lodged in the blockchain.