Requirements, deployments, and challenges of LoRa technology: A survey
LoRa is an ISM‐band based LPWAN communication protocol. Despite their wide network
penetration of approximately 20 kilometers or higher using lower than 14 decibels …
penetration of approximately 20 kilometers or higher using lower than 14 decibels …
Towards an intelligent intrusion detection system to detect malicious activities in cloud computing
H Attou, M Mohy-eddine, A Guezzaz, S Benkirane… - Applied Sciences, 2023 - mdpi.com
Several sectors have embraced Cloud Computing (CC) due to its inherent characteristics,
such as scalability and flexibility. However, despite these advantages, security concerns …
such as scalability and flexibility. However, despite these advantages, security concerns …
DBTP2SF: a deep blockchain‐based trustworthy privacy‐preserving secured framework in industrial internet of things systems
R Kumar, R Tripathi - Transactions on Emerging …, 2021 - Wiley Online Library
By providing ubiquitous connectivity, effective data analytics tools, and better decision
support systems for improved market competitiveness, the industrial internet of things (IIoT) …
support systems for improved market competitiveness, the industrial internet of things (IIoT) …
EPS-Ledger: Blockchain hyperledger sawtooth-enabled distributed power systems chain of operation and control node privacy and security
A distributed power system operation and control node privacy and security are attractive
research questions that deliver electrical energy systems to the participating stakeholders …
research questions that deliver electrical energy systems to the participating stakeholders …
A hybrid deep learning model with self-improved optimization algorithm for detection of security attacks in IoT environment
With the growth of the Internet of Things (IoT), security attacks are also rising gradually.
Numerous centralized mechanisms have been introduced in the recent past for the detection …
Numerous centralized mechanisms have been introduced in the recent past for the detection …
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 …
Dependable federated learning for IoT intrusion detection against poisoning attacks
Network intrusion detection methods based on federated learning (FL) and edge computing
have great potential for protecting the cybersecurity of the Internet of Things. It overcomes …
have great potential for protecting the cybersecurity of the Internet of Things. It overcomes …
Deep learning-based mobile application design for smart parking
In the era of Internet of Things (IoT) and smart city ecosystems, there is a need for innovative
smart parking systems for more sustainable cities. With the increasing number of vehicles in …
smart parking systems for more sustainable cities. With the increasing number of vehicles in …
Effective multitask deep learning for iot malware detection and identification using behavioral traffic analysis
Despite the benefits of the Internet of Things (IoT), the growing influx of IoT-specific malware
coordinating large-scale cyberattacks via infected IoT devices has created a substantial …
coordinating large-scale cyberattacks via infected IoT devices has created a substantial …
Machine learning for mobile network payment security evaluation system
F Wang, N Yang, PM Shakeel… - Transactions on …, 2024 - Wiley Online Library
In the recent past, different types of Mobile Network payments gateways have been
explosively growing, which allows consumers to access services using various types of …
explosively growing, which allows consumers to access services using various types of …