A Solution to Detecting Botnets using Convolutional Neural Networks and Support Vector Machine Algorithms
Vipul Jha, Omkar Katule, Tanvi Bajad, Shreyas Agadi, Priyanka Bendale · International Journal of Advanced Research in Science Communication and Technology · 2022
A botnet is an Internet-connected network of devices and nodes that spread malware software, such as Trojan horses, viruses, and worms. Recently, numerous approaches for detecting and combating mobile malware have been developed. Our model, on the other hand, is distinct from previous models. We're using a dataset that we found on the Kaggle website. The findings we obtained were obtained using machine learning techniques such as CNN and SVM. We have a range of attack or non-attack scenarios, as well as any subtypes that may occur. The proposed system is a web-based tool that predicts App/URL botnets with high accuracy.