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Internet of things (IoT) security dataset evolution: Challenges and future directions
The evolution of mobile technologies has introduced smarter and more connected objects
into our day-to-day lives. This trend, known as the Internet of Things (IoT), has applications …
into our day-to-day lives. This trend, known as the Internet of Things (IoT), has applications …
Survey on IoT security: Challenges and solution using machine learning, artificial intelligence and blockchain technology
Abstract Internet of Things (IoT) is one of the most rapidly used technologies in the last
decade in various applications. The smart things are connected in wireless or wired for …
decade in various applications. The smart things are connected in wireless or wired for …
The duo of artificial intelligence and big data for industry 4.0: Applications, techniques, challenges, and future research directions
The increasing need for economic, safe, and sustainable smart manufacturing combined
with novel technological enablers has paved the way for artificial intelligence (AI) and big …
with novel technological enablers has paved the way for artificial intelligence (AI) and big …
DL‐IDS: Extracting Features Using CNN‐LSTM Hybrid Network for Intrusion Detection System
P Sun, P Liu, Q Li, C Liu, X Lu, R Hao… - Security and …, 2020 - Wiley Online Library
Many studies utilized machine learning schemes to improve network intrusion detection
systems recently. Most of the research is based on manually extracted features, but this …
systems recently. Most of the research is based on manually extracted features, but this …
[HTML][HTML] Intrusion detection in IoT networks using deep learning algorithm
The internet has become an inseparable part of human life, and the number of devices
connected to the internet is increasing sharply. In particular, Internet of Things (IoT) devices …
connected to the internet is increasing sharply. In particular, Internet of Things (IoT) devices …
Towards a deep learning-driven intrusion detection approach for Internet of Things
Abstract Internet of Things (IoT) as a paradigm comes with a range of benefits to humanity.
Domains of research for the IoT range from healthcare automation to energy and transport …
Domains of research for the IoT range from healthcare automation to energy and transport …
A systematic review of iot security: Research potential, challenges, and future directions
W Fei, H Ohno, S Sampalli - ACM computing surveys, 2023 - dl.acm.org
The Internet of Things (IoT) encompasses a network of physical objects embedded with
sensors, software, and data processing technologies that can establish connections and …
sensors, software, and data processing technologies that can establish connections and …
A supervised machine learning-based solution for efficient network intrusion detection using ensemble learning based on hyperparameter optimization
An efficient machine learning (ML) ensemble technique for categorizing Intrusion Detection
(ID) is proposed in this study. The tuning of the ML model's parameters is a critical topic …
(ID) is proposed in this study. The tuning of the ML model's parameters is a critical topic …
[HTML][HTML] Forensic analysis on internet of things (IoT) device using machine-to-machine (M2M) framework
The versatility of IoT devices increases the probability of continuous attacks on them. The
low processing power and low memory of IoT devices have made it difficult for security …
low processing power and low memory of IoT devices have made it difficult for security …
A review of security and privacy concerns in the internet of things (IoT)
The recent two decades have witnessed tremendous growth in Internet of things (IoT)
applications. There are more than 50 billion devices connected globally. IoT applications' …
applications. There are more than 50 billion devices connected globally. IoT applications' …