International Journal of Engineering Trends and Technology
Malicious URL detection has become increasingly difficult due to the evolution of phishing campaigns and efforts to avoid weakening blacklists. The existing state of cybercrime has allowed pirates to host campaigns with smaller lifespan, which reduces the efficacy of the backlist. At the same time, standard supervised learning algorithms are known to generalize in specific patterns observed in the training data, which makes them a better alternative against piracy campaigns. However the highly dynamic environment of these campaigns requires models updated frequently, which poses new challenge as most learning algorithms are too computationally require exclusive retraining.