Enhanced SqueezeNet model for detecting IoT-Bot attacks: A comprehensive approach. [PDF]
MethodsXBojarajulu B, Tanwar S, Singh TP.
europepmc +1 more source
Botnet detection in internet of things using stacked ensemble learning model. [PDF]
Sci RepAli M +6 more
europepmc +1 more source
Pemanfaatan Algoritma CNN dan Pemetaan Geolokasi untuk Deteksi Botnet Spam
Di era teknologi digital, botnet menjadi tantangan pada bidang keamanan informasi. Botnet merupakan salah satu jenis malware yang memungkinkan penyerang untuk mengakses perangkat yang terinfeksi secara remote.
Benedictus, Florentino
core
Hyperparameter optimization of XGBoost and hybrid CnnSVM for cyber threat detection using modified Harris hawks algorithm. [PDF]
PeerJ Comput SciElwahsh H +7 more
europepmc +1 more source
Systematic Evaluation of Machine Learning and Deep Learning Models for IoT Malware Detection Across Ransomware, Rootkit, Spyware, Trojan, Botnet, Worm, Virus, and Keylogger. [PDF]
Sensors (Basel)Maghanaki M +3 more
europepmc +1 more source
Self-Organizing Neural Grove for Malware Detection in IoT Edge Devices. [PDF]
Sensors (Basel)Inoue H, Komura T, Hashimoto I.
europepmc +1 more source
Web-Based Botnet for Blocking Control Flow in Open-Source Medical Syringe Pump. [PDF]
Int J Grid Util ComputLu W.
europepmc +1 more source
Comparative analysis of deep learning and traditional methods for IoT botnet detection using a multi-model framework across diverse datasets. [PDF]
Sci RepUllah S +6 more
europepmc +1 more source
An efficient data driven framework for intrusion detection in wireless sensor networks using deep learning. [PDF]
Sci RepSinha P +6 more
europepmc +1 more source
Employing SAE-GRU deep learning for scalable botnet detection in smart city infrastructure. [PDF]
PeerJ Comput SciTariq U, Ahanger TA.
europepmc +1 more source