TY - JOUR ID - 91572 TI - Flash Attack Prognosis by Ensemble Supervised Learning for IoT Networks JO - Journal of Information Technology Management JA - JITM LA - en SN - AU - Jagadeesh Babu, M. AU - Reddy, A.R AD - Department of Electronics and Communication Engineering, Jawaharlal Nehru Technological University, Anantapur, Andhra Pradesh, India. AD - Retired Senior Scientist- R2, ITI Limited, Bangalore, Karnataka, India. Y1 - 2023 PY - 2023 VL - 15 IS - Special Issue: Digital Twin Enabled Neural Networks Architecture Management for Sustainable Computing SP - 124 EP - 149 KW - Unlike contemporary models KW - IoT network KW - Uniform manifold KW - Classifier DO - 10.22059/jitm.2023.91572 N2 - The scope of the Internet of Things (IoT) becomes inevitable in the communication and information-sharing routines of human life, similar to any technological architecture. The IoT is also not exempted from vulnerability to security issues and is even more vulnerable as the networks of IoT are built of non-smart devices. Though the few contributions endeavored to defend against the botnet's attacks on IoT, they partially or poorly performed to defend against the flash crowd or attacks by botnets on IoT networks. In this context, the method “Flash Attack Prognosis by Ensemble Supervised Learning for IoT Networks” derived in this manuscript is centric on defending the flash attacks by botnets. Unlike contemporary models, the proposed method uses the fusion of traditional network features and temporal features as input to train the classifiers. Also, the curse of dimensionality in the training corpus, which is often, appears in the corpus of flash attack transactions by a botnet, has addressed by the ensemble classification strategy. The comparative analysis of the statistics obtained from the experimental study has displayed the significance and robustness of the proposed model compared to contemporary models UR - https://jitm.ut.ac.ir/article_91572.html L1 - https://jitm.ut.ac.ir/article_91572_d6771eb3b4353eb8e1581595e253a511.pdf ER -