Internet of things applications, security challenges, attacks, intrusion detection, and future visions: A systematic review
Internet of Things (IoT) technology is prospering and entering every part of our lives, be it
education, home, vehicles, or healthcare. With the increase in the number of connected …
education, home, vehicles, or healthcare. With the increase in the number of connected …
Online social networks security and privacy: comprehensive review and analysis
With fast-growing technology, online social networks (OSNs) have exploded in popularity
over the past few years. The pivotal reason behind this phenomenon happens to be the …
over the past few years. The pivotal reason behind this phenomenon happens to be the …
An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture
The entire computing paradigm is changed due to the technological advancements in
Information and Communication Technology (ICT). Due to these advancements, various …
Information and Communication Technology (ICT). Due to these advancements, various …
Task offloading in fog computing for using smart ant colony optimization
A Kishor, C Chakarbarty - Wireless personal communications, 2022 - Springer
In the current scenario, Cloud computing is providing services to IoT-sensor based
applications in task offloading. In time-sensitive real-time applications, latency is a major …
applications in task offloading. In time-sensitive real-time applications, latency is a major …
Deep learning approach for SDN-enabled intrusion detection system in IoT networks
Owing to the prevalence of the Internet of things (IoT) devices connected to the Internet, the
number of IoT-based attacks has been growing yearly. The existing solutions may not …
number of IoT-based attacks has been growing yearly. The existing solutions may not …
A hybrid GA and PSO optimized approach for heart-disease prediction based on random forest
MG El-Shafiey, A Hagag, ESA El-Dahshan… - Multimedia Tools and …, 2022 - Springer
Nowadays, heart diseases are significantly contributing to deaths all over the world. Thus,
heart-disease prediction has garnered considerable attention in the medical domain …
heart-disease prediction has garnered considerable attention in the medical domain …
Sok: Explainable machine learning for computer security applications
Explainable Artificial Intelligence (XAI) aims to improve the transparency of machine
learning (ML) pipelines. We systematize the increasingly growing (but fragmented) …
learning (ML) pipelines. We systematize the increasingly growing (but fragmented) …
[PDF][PDF] DNNBoT: Deep neural network-based botnet detection and classification.
MA Haq, MA Rahim Khan - Computers, Materials & Continua, 2022 - cdn.techscience.cn
The evolution and expansion of IoT devices reduced human efforts, increased resource
utilization, and saved time; however, IoT devices create significant challenges such as lack …
utilization, and saved time; however, IoT devices create significant challenges such as lack …
Data‐Driven Urban Traffic Accident Analysis and Prediction Using Logit and Machine Learning‐Based Pattern Recognition Models
V Najafi Moghaddam Gilani… - Mathematical …, 2021 - Wiley Online Library
Modeling the severity of accidents based on the most effective variables accounts for
developing a high‐precision model presenting the possibility of occurrence of each category …
developing a high‐precision model presenting the possibility of occurrence of each category …
[HTML][HTML] Advancing IoT security: A systematic review of machine learning approaches for the detection of IoT botnets
Abstract The Internet of Things (IoT) has transformed many aspects of modern life, from
healthcare and transportation to home automation and industrial control systems. However …
healthcare and transportation to home automation and industrial control systems. However …