Results 61 to 70 of about 565 (170)
Ferrocene derivatives represent a transformative class of molecular sensors, combining exceptional electrochemical stability with tunable redox characteristics that enable precise detection across diverse analytical challenges in environmental, medical, and industrial applications.
Ala'a Al‐Akhras +6 more
wiley +1 more source
Systematic review of deep learning solutions for malware detection and forensic analysis in IoT
The swift proliferation of Internet of Things (IoT) devices has presented considerable challenges in maintaining cybersecurity. As IoT ecosystems expand, they increasingly attract malware attacks, necessitating advanced detection and forensic analysis ...
Siraj Uddin Qureshi +7 more
doaj +1 more source
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong +13 more
wiley +1 more source
On the Optimal Selection of Mel‐Frequency Cepstral Coefficients for Voice Deepfake Detection
ABSTRACT The continuous evolution of techniques for generating manipulated audio, known as voice deepfakes, and the widespread availability of tools that produce convincing forgeries have created an urgent need for reliable detection methods. This work considers the dimensionality of Mel‐Frequency Cepstral Coefficients (MFCCs) as a core design variable
Sergio A. Falcón‐López +3 more
wiley +1 more source
The proliferation of Internet of Things (IoT) devices presents significant challenges for cybersecurity and digital forensics, particularly as these devices have become increasingly weaponised for malicious activities.
Mohamed Chahine Ghanem +4 more
doaj +1 more source
Non-Volatile Memory Forensic Analysis in Windows 10 IoT Core
The increase in the number of cybersecurity incidents in which internet of things (IoT) devices are involved has called for an improvement in the field of computer forensics, which needs to provide techniques in order to perform complete and efficient ...
Juan Manuel Castelo Gómez +3 more
doaj +1 more source
In this review, we have summarized the working principles and equivalent circuit diagrams of solid‐liquid interface triboelectric nanogenerators with different electrode structures, as well as the applications of devices with such structures in droplet mechanical energy harvesting and self‐powered sensing of liquid samples, along with their respective ...
Hanyue Liu +7 more
wiley +1 more source
This review examines how optical coherence tomography transforms industrial inspection by delivering real‐time, micrometer‐resolution, depth‐resolved imaging. It surveys applications across display manufacturing, thin films, microelectronics, laser processing, and coatings, evaluates performance against conventional techniques, and highlights emerging ...
Nipun Shantha Kahatapitiya +7 more
wiley +1 more source
An Ensemble Learning-Based Prediction Model for Image Forensics From IoT Camera in Smart Cities
Recent years witnessed a surge in the number of IoT cameras in smart cities. In this article, an ensemble learning-based prediction model for image forensics from IoT camera is proposed.
Ge Xu +7 more
doaj +1 more source
A context-centered methodology for IoT forensic investigations
The weakness of the security measures implemented on Internet of Things (IoT) devices, added to the sensitivity of the data that they handle, has created an attractive environment for cybercriminals to carry out attacks. This has caused a substantial increase in the number of cyberincidents, requiring the opening of digital investigations in order to ...
Castelo-Gómez, Juan Manuel +3 more
openaire +1 more source

