Results 71 to 80 of about 10,483 (192)

IoT Forensics Readiness - influencing factors

Forensic Science International: Digital Investigation
The Internet of Things (IoT) is increasingly becoming a part of people’s lives and is progressively revolutionizing our lives and businesses. From a Digital Forensics (DF) point of view, this connection turns an IoT environment into a valuable source of evidence containing diverse artifacts that could significantly aid DF investigations.
Friedl, Sabrina, Pernul, Günther
openaire   +2 more sources

Explainable AI With Imbalanced Learning Strategies for Blockchain Transaction Fraud Detection

Engineering Reports, Volume 8, Issue 1, January 2026.
Research methodology pipeline for blockchain fraud detection. ABSTRACT Blockchain networks now support billions of dollars in daily transactions, making reliable and transparent fraud detection essential for maintaining user trust and financial stability.
Ahmed Abbas Jasim Al‐Hchaimi, M. A. Khalifa, Walid El‐Shafai   +2 more
wiley   +1 more source

Research on Digital Forensics Analyzing Heterogeneous Internet of Things Incident Investigations

Applied Sciences
In the landscape of the Fourth Industrial Revolution, the integration of the Internet of Things (IoT) in smart-home technology presents intricate challenges for digital forensics.
Dong-Hyuk Shin, Seung-Ju Han, Yu-Bin Kim, Ieck-Chae Euom   +3 more
doaj   +1 more source

Progress and Prospect of Integrated Microfluidic, Electrochemical, Liquid Crystal Technologies, and Machine Learning for Wearable Biosensors

Engineering Reports, Volume 8, Issue 1, January 2026.
This review highlights advances in integrating microfluidic, electrochemical, and liquid crystal technologies for wearable biosensors. These hybrid systems enable non‐invasive, real‐time monitoring of biofluids and, when coupled with machine learning, offer new opportunities for personalized healthcare diagnostics.
Milad Esfandiar, S. M. Hosseinalipour, Sarah Salehi   +2 more
wiley   +1 more source

Systematic review of deep learning solutions for malware detection and forensic analysis in IoT

Journal of King Saud University: Computer and Information Sciences
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, Jingsha He, Saima Tunio, Nafei Zhu, Ahsan Nazir, Ahsan Wajahat, Faheem Ullah, Abdul Wadud   +7 more
doaj   +1 more source

Risks of Time and Chronology as an Underpinning Infrastructure for Critical Systems: Emerging Chronorisks and Chronosecurity Needs

Journal of Critical Infrastructure Policy, Volume 7, Issue 1, Spring/Summer 2026.
ABSTRACT Time and chronology form the invisible architecture upon which modern civilization depends, governing synchronization across markets, power grids, communication networks, transportation, and defense. Yet, this shared temporal framework, engineered through atomic clocks, satellites, and digital synchronization, faces growing vulnerabilities ...
Bilal M. Ayyub
wiley   +1 more source

An Ensemble Learning-Based Prediction Model for Image Forensics From IoT Camera in Smart Cities

IEEE Access, 2020
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, Yongqiang Xiao, Tao Wang, Yin Guan, Jinhua Xiao, Zhixiong Zhong, Dongyi Ye, Jia Lyu   +7 more
doaj   +1 more source

Machine Learning Aided Static Malware Analysis: A Survey and Tutorial

, 2018
Malware analysis and detection techniques have been evolving during the last decade as a reflection to development of different malware techniques to evade network-based and host-based security protections.
Andrii Shalaginov, D Krishna Sandeep Reddy, Farid Daryabar, Igor Santos, Reinaldo Jose Mangialardo, Smita Naval, Steve Watson, Teuvo Kohonen, Yanfang Ye   +8 more
core   +1 more source

Industrial IoT cross‐layer forensic investigation

WIREs Forensic Science, 2018
Cross‐layer forensic investigation is addressed for Industrial Internet of Things (IIoT) device attacks in Critical Infrastructure (CI) applications. The operational motivation for cross‐layer investigation is provided by the desire to directly correlate bit‐level network anomaly detection with physical layer (PHY) device connectivity and/or status ...
Christopher M. Rondeau, Michael A. Temple, Juan Lopez   +2 more
openaire   +1 more source

Digital Forensics for IoT and WSNs [PDF]

, 2019
In the last decade, wireless sensor networks (WSNs) and Internet-of-Things (IoT) devices are proliferated in many domains including critical infrastructures such as energy, transportation and manufacturing. Consequently, most of the daily operations now rely on the data coming from wireless sensors or IoT devices and their actions.
Karabiyik, Umit, Akkaya, Kemal
openaire   +2 more sources