Securing Industrial Internet of Things Against Botnet Attacks Using Hybrid Deep Learning Approach
Tooba Hasan, Jahanzaib Malik, Iram Bibi, Wali Ullah Khan, Fahd N. Al‐Wesabi, Kapal Dev, Gaojian Huang
Abstract
This work proposes a hybrid intelligent Deep Learning (DL)-enabled mechanism to secure IIoT infrastructure from lethal and sophisticated multi-variant botnet attacks. The proposed mechanism has been rigorously evaluated with latest available dataset, standard and extended performance evaluation metrics, and current DL benchmark algorithms. Besides, cross validation of our results are also performed to clearly show overall performance.
Topics & Concepts
BotnetBenchmark (surveying)Computer scienceDeep learningThe InternetArtificial intelligenceMechanism (biology)Computer securityMachine learningInternet of ThingsIndustrial InternetWorld Wide WebGeodesyEpistemologyPhilosophyGeographyNetwork Security and Intrusion DetectionSmart Grid Security and ResilienceAdvanced Malware Detection Techniques