A novel fully convolutional neural network approach for detection and classification of attacks on industrial IoT devices in smart manufacturing systems
Abstract Recently, Internet of things (IoT) devices have been widely implemented and
technologically advanced in manufacturing settings to monitor, collect, exchange, analyze …
technologically advanced in manufacturing settings to monitor, collect, exchange, analyze …
Digital forensics subdomains: the state of the art and future directions
A Al-Dhaqm, RA Ikuesan, VR Kebande… - IEEE …, 2021 - ieeexplore.ieee.org
For reliable digital evidence to be admitted in a court of law, it is important to apply
scientifically proven digital forensic investigation techniques to corroborate a suspected …
scientifically proven digital forensic investigation techniques to corroborate a suspected …
Lbdmids: LSTM based deep learning model for intrusion detection systems for IOT networks
In the recent years, we have witnessed a huge growth in the number of Internet of Things
(loT) and edge devices being used in our everyday activities. This demands the security of …
(loT) and edge devices being used in our everyday activities. This demands the security of …
Toward an intrusion detection model for IoT-based smart environments
C Hazman, A Guezzaz, S Benkirane… - Multimedia Tools and …, 2023 - Springer
Abstract Nowadays, modern Internet of Things (IoT) applications are enabling smart cities
across the world. They provide remote device monitoring, management, and control, and …
across the world. They provide remote device monitoring, management, and control, and …
Population interaction network in representative differential evolution algorithms: Power-law outperforms Poisson distribution
Differential evolution is a classical and effective evolutionary algorithm. In recent years,
many differential evolution variants have been proposed and achieved good results on …
many differential evolution variants have been proposed and achieved good results on …
Stacked recurrent neural network for botnet detection in smart homes
Abstract Internet of Things (IoT) devices in Smart Home Network (SHN) are highly
vulnerable to complex botnet attacks. In this paper, we investigate the effectiveness of …
vulnerable to complex botnet attacks. In this paper, we investigate the effectiveness of …
[HTML][HTML] A blockchain-enabled secure digital twin framework for early botnet detection in IIoT environment
Resource constraints in the Industrial Internet of Things (IIoT) result in brute-force attacks,
transforming them into a botnet to launch Distributed Denial of Service Attacks. The delayed …
transforming them into a botnet to launch Distributed Denial of Service Attacks. The delayed …
An efficient framework for detection and classification of iot botnet traffic
Abstract The Internet of Things (IoT) has become an integral requirement to equip common
life. According to IDC, the number of IoT devices may increase exponentially up to a trillion …
life. According to IDC, the number of IoT devices may increase exponentially up to a trillion …
Concept drift analysis by dynamic residual projection for effectively detecting botnet cyber-attacks in IoT scenarios
IoT devices typically stream data such as sensor values to other devices including cloud-
based services. Analyzing these streams for cyber-attacks is a challenging task. This is due …
based services. Analyzing these streams for cyber-attacks is a challenging task. This is due …
[HTML][HTML] Future technology: Software-defined network (SDN) forensic
The software-defined networking (SDN) paradigm has recently emerged as a trend to build
various protocols, develop more reliable networks, enhance the data flow controlling, and …
various protocols, develop more reliable networks, enhance the data flow controlling, and …