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Explainable artificial intelligence for botnet detection in internet of things [PDF]
Scientific ReportsThe proliferation of internet of things (IoT) devices has led to unprecedented connectivity and convenience. However, this increased interconnectivity has also introduced significant security challenges, particularly concerning the detection and ...
Mohamed Saied, Shawkat Guirguis
doaj +3 more sources
SMOTE-DRNN: A Deep Learning Algorithm for Botnet Detection in the Internet-of-Things Networks [PDF]
Sensors, 2021 Nowadays, hackers take illegal advantage of distributed resources in a network of computing devices (i.e., botnet) to launch cyberattacks against the Internet of Things (IoT).
Segun Isaiah Popoola, Bamidele Adebisi
exaly +3 more sources
Your botnet is my botnet [PDF]
Proceedings of the 16th ACM conference on Computer and communications security, 2009 Botnets, networks of malware-infected machines that are controlled by an adversary, are the root cause of a large number of security problems on the Internet. A particularly sophisticated and insidious type of bot is Torpig, a malware program that is designed to harvest sensitive information (such as bank account and credit card data) from its victims.
Stone-Gross, Brett +7 more
+14 more sources
A novel hybrid feature selection and ensemble-based machine learning approach for botnet detection
Scientific Reports, 2023 In the age of sophisticated cyber threats, botnet detection remains a crucial yet complex security challenge. Existing detection systems are continually outmaneuvered by the relentless advancement of botnet strategies, necessitating a more dynamic and ...
Md. Alamgir Hossain, Md. Saiful Islam
doaj +2 more sources
ELBA-IoT: An Ensemble Learning Model for Botnet Attack Detection in IoT Networks
Journal of Sensor and Actuator Networks, 2022 Due to the prompt expansion and development of intelligent systems and autonomous, energy-aware sensing devices, the Internet of Things (IoT) has remarkably grown and obstructed nearly all applications in our daily life.
Qasem Abu Al-Haija, Mu'awya Aldalaien
exaly +2 more sources
Systematic Literature Review of IoT Botnet DDOS Attacks and Evaluation of Detection Techniques. [PDF]
Sensors (Basel)Internet of Things (IoT) technology has become an inevitable part of our daily lives. With the increase in usage of IoT Devices, manufacturers continuously develop IoT technology.
Gelgi M +4 more
europepmc +2 more sources
IEEE Access, 2023 Botnet detection in a cloud-aided Internet of Things (IoT) environment is a tedious process, meanwhile, IoT gadgets are extremely vulnerable to attacks due to poor security practices and limited computing resources.
Latifah Almuqren +5 more
doaj +2 more sources
Botnet Attack Detection Using Local Global Best Bat Algorithm for Industrial Internet of Things
Electronics (Switzerland), 2021 The need for timely identification of Distributed Denial-of-Service (DDoS) attacks in the Internet of Things (IoT) has become critical in minimizing security risks as the number of IoT devices deployed rapidly grows globally and the volume of such ...
Hafiz Tayyab Rauf +1 more
exaly +2 more sources
Deep Learning-Based Intrusion Detection System for Detecting IoT Botnet Attacks: A Review
IEEE AccessThe proliferation of Internet of Things (IoT) devices has brought about an increased threat of botnet attacks, necessitating robust security measures. In response to this evolving landscape, deep learning (DL)-based intrusion detection systems (IDS) have
Tamara Al-Shurbaji +7 more
doaj +2 more sources
Anatomy of an AI-powered malicious social botnet [PDF]
Journal of Quantitative Description Digital Media, 2023 Large language models (LLMs) exhibit impressive capabilities in generating realistic text across diverse subjects. Concerns have been raised that they could be utilized to produce fake content with a deceptive intention, although evidence thus far ...
Kai-Cheng Yang, F. Menczer
semanticscholar +1 more source