As the demand for Internet of Things (IoT) technologies continues to grow, IoT devices have been viable targets for malware infections. Although deep learning-based malware detection has achieved ...

This research investigates the efficacy of various machine learning algorithms in detecting malware. Utilizing a dataset of 20,000 observations with 33 features,28 classification algorithms are ...

North Korean Hackers Are Targeting Top Crypto Firms With Malware Hidden in Job Applications A DPRK-linked group is using fake job sites and Python malware to infiltrate Windows systems of ...

Article citations More>> Widiyasono, A., Fakhrulddin, M. and Kusuma, Y. (2021) IoT Device Malware Detection Using Random Forest Algorithm. Proc. Int. Conf. Inf. Technol. Syst., 2021, 234-240. has been ...