Analysis of safety and security challenges and opportunities related to cyber-physical systems
A cyber-physical system (CPS) is an interconnected physical system that can be monitored,
controlled, and operated remotely. A systems-based analysis of CPS is critical for enhancing …
controlled, and operated remotely. A systems-based analysis of CPS is critical for enhancing …
Multisignal modulation classification using sliding window detection and complex convolutional network in frequency domain
C Hou, G Liu, Q Tian, Z Zhou, L Hua… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
With the development of the Internet of Things (IoT), the IoT devices are increasing day by
day, resulting in increasingly scarce spectrum resources. At the same time, many IoT …
day, resulting in increasingly scarce spectrum resources. At the same time, many IoT …
Threat of adversarial attacks on DL-based IoT device identification
With the rapid development of the information technology, the number of devices in the
Internet of Things (IoT) is increasing explosively, which makes device identification a great …
Internet of Things (IoT) is increasing explosively, which makes device identification a great …
NAS-AMR: Neural architecture search-based automatic modulation recognition for integrated sensing and communication systems
Automatic modulation recognition (AMR) technique plays an important role in the
identification of modulation types of unknown signal of integrated sensing and …
identification of modulation types of unknown signal of integrated sensing and …
Semi-supervised specific emitter identification method using metric-adversarial training
Specific emitter identification (SEI) plays an increasingly crucial and potential role in both
military and civilian scenarios. It refers to a process to discriminate individual emitters from …
military and civilian scenarios. It refers to a process to discriminate individual emitters from …
Multitask-learning-based deep neural network for automatic modulation classification
Automatic modulation classification (AMC) is to identify the modulation type of a received
signal, which plays a vital role to ensure the physical-layer security for Internet of Things …
signal, which plays a vital role to ensure the physical-layer security for Internet of Things …
Supervised contrastive learning for RFF identification with limited samples
Radio-frequency fingerprint (RFF), which comes from the imperfect hardware, is a potential
feature to ensure the security of communication. With the development of deep learning …
feature to ensure the security of communication. With the development of deep learning …
Lightweight automatic modulation classification via progressive differentiable architecture search
Automatic modulation classification (AMC) is a key step of signal demodulation that
determines whether the receiver can correctly receive the transmitted signal without prior …
determines whether the receiver can correctly receive the transmitted signal without prior …
Smart Contracts Security Application and Challenges: A Review
FA Alaba, HA Sulaimon, MI Marisa… - Cloud Computing and …, 2024 - ojs.wiserpub.com
There has been a rise in the demand for blockchain-based smart contract development
platforms and language implementations. On the other hand, smart contracts and blockchain …
platforms and language implementations. On the other hand, smart contracts and blockchain …
Automatic modulation classification: A deep architecture survey
Automatic modulation classification (AMC), which aims to blindly identify the modulation type
of an incoming signal at the receiver in wireless communication systems, is a fundamental …
of an incoming signal at the receiver in wireless communication systems, is a fundamental …