Results 1 to 10 of about 256 (79)
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.
Muawya Al Dalaien +2 more
exaly +3 more sources
An Accurate Detection Approach for IoT Botnet Attacks Using Interpolation Reasoning Method
Information (Switzerland), 2022 Nowadays, the rapid growth of technology delivers many new concepts and notations that aim to increase the efficiency and comfort of human life. One of these techniques is the Internet of Things (IoT). The IoT has been used to achieve efficient operation
Mouhammd Alkasassbeh +2 more
exaly +3 more sources
Cross Deep Learning Method for Effectively Detecting the Propagation of IoT Botnet
Sensors, 2022 In recent times, organisations in a variety of businesses, such as healthcare, education, and others, have been using the Internet of Things (IoT) to produce more competent and improved services.
Osama Rabie +2 more
exaly +3 more sources
A Two-Fold Machine Learning Approach to Prevent and Detect IoT Botnet Attacks
IEEE Access, 2021 The botnet attack is a multi-stage and the most prevalent cyber-attack in the Internet of Things (IoT) environment that initiates with scanning activity and ends at the distributed denial of service (DDoS) attack.
Ubaid Ullah Fayyaz +2 more
exaly +3 more sources
IoT Botnet Attack Detection Based on Optimized Extreme Gradient Boosting and Feature Selection
Sensors, 2020 Nowadays, Internet of Things (IoT) technology has various network applications and has attracted the interest of many research and industrial communities.
Maher Benismail +2 more
exaly +3 more sources
V-Sandbox for Dynamic Analysis IoT Botnet
IEEE Access, 2020 With the increasing use of resource-constrained IoT devices, the number of IoT Botnets has exploded with many variations and ways of penetration. Nowadays, studies based on machine learning and deep learning have focused on dealing with IoT Botnet with ...
H Viet Le, Quoc-Dung Ngo
exaly +3 more sources
Modular neural network for edge-based detection of early-stage IoT botnet
High-Confidence ComputingThe Internet of Things (IoT) has led to rapid growth in smart cities. However, IoT botnet-based attacks against smart city systems are becoming more prevalent.
Graham Morgan +2 more
exaly +3 more sources
Systematic Literature Review on IoT-Based Botnet Attack
IEEE Access, 2020 The adoption of the Internet of Things (IoT) technology is expanding exponentially because of its capability to provide a better service. This technology has been successfully implemented on various devices.
Abdullah Gani +2 more
exaly +3 more sources
An Automated Behaviour-Based Clustering of IoT Botnets
Future Internet, 2021 The leaked IoT botnet source-codes have facilitated the proliferation of different IoT botnet variants, some of which are equipped with new capabilities and may be difficult to detect.
Tolijan Trajanovski, Ning Zhang
doaj +1 more source
Adaptive secure malware efficient machine learning algorithm for healthcare data
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Malware software now encrypts the data of Internet of Things (IoT) enabled fog nodes, preventing the victim from accessing it unless they pay a ransom to the attacker. The ransom injunction is constantly accompanied by a deadline. These days, ransomware attacks are too common on IoT healthcare devices.
Mazin Abed Mohammed +8 more
wiley +1 more source