Results 71 to 80 of about 565 (170)

AI‐Powered Anomaly Detection for Secure Internet of Things (IoT): Optimising XGBoost and Deep Learning With Bayesian Optimisation

CAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 447-463, April 2026.
ABSTRACT Intelligent and adaptive defence systems that can quickly thwart changing cyberthreats are becoming more and more necessary in the dynamic and data‐intensive Internet of things (IoT) environment. Using the NSL‐KDD benchmark dataset, this paper presents an improved anomaly detection system that combines an optimised sequential neural network ...
Seong‐O Shim, Lal Hussain, Mohammed A. Alqarni, Faisal S. Alsubaei, Rasha Jamal Atwah   +4 more
wiley   +1 more source

Next‐Generation Wearable Optical Sensors for Personalized Health and Point‐of‐Care Diagnostics—A Systematic Review

Advanced Healthcare Materials, Volume 15, Issue 10, 13 March 2026.
This review article presents a comprehensive and integrated overview of wearable optical sensors, systematically bridging advanced functional materials with fundamental optical sensing mechanisms. It further highlights their diverse applications across healthcare, fitness monitoring, environmental surveillance, and food safety.
Rituparna Duarah, Helena Torné‐Morató, Guolong Zhang, Youssef Amin, Mahdieh Pabast, Nidhi Sharma, Sailing He, Manash R. Das, Pier Paolo Pompa   +8 more
wiley   +1 more source

A Scoping Review and Bibliometric Analysis on Smart Firefighting in Buildings and Infrastructures

Fire and Materials, Volume 50, Issue 2, Page 145-173, March 2026.
ABSTRACT Smart Firefighting is a concept that has emerged within the fire engineering and fire science disciplines in recent years. It can enable informed decision making and improved fire safety. However, its scope, definition, outcomes, and value to emergency management remain unclear. To investigate this, a scoping review and a bibliometric analysis
José Antonio Morales Mere, Nils Johansson, Enrico Ronchi   +2 more
wiley   +1 more source

Cybersecurity Challenges in Digital Forensics Types: Network Forensics, Cloud Forensics and Mobile Forensics

International Journal of Emerging Engineering and Technology
The rapid growth of information and communication technologies (ICTs) has increased the risk of cybercrime, data breaches, ransomware attacks, and other cybersecurity threats.
Sidra Khan, Irshad Ahmed Sumra, Bilal Gillani, Waqar Azeem   +3 more
doaj   +1 more source

Farmer readiness for Ag-IoT adoption in India: A survey study

The Indian Journal of Agricultural Sciences
Internet of Things based Agriculture (Ag-IoT) is widely adopted by farmers and agriculturists worldwide. Ag-IoT involves technologies such as the internet, sensors, and communication technologies that help automate agricultural labour and improve ...
SANTOSHI RUDRAKAR, PARAG RUGHANI, LAKSHMINARAYANA SADINENI   +2 more
doaj   +1 more source

IoT based Agriculture (Ag-IoT): A detailed study on Architecture, Security and Forensics

Information Processing in Agriculture
IoT based agriculture (Ag-IoT) is an emerging communication technology that is widely adopted by agricultural entrepreneurs and farmers to perform agricultural agro-chores in the farm to improve productivity, for better monitoring, and to reduce labor ...
Santoshi Rudrakar, Parag Rughani
doaj   +1 more source

IoT forensic challenges and opportunities for digital traces

Digital Investigation, 2019
Abstract The increasing number of IoT devices in personal environments such as smarthomes presents opportunities and risks from a forensic perspective. These devices generate traces that can be useful for investigative and forensic purposes in any type of offense.
Francesco Servida, Eoghan Casey
openaire   +2 more sources

Feasibility Study of Location Authentication for IoT Data Using Power Grid Signatures

IEEE Open Journal of Signal Processing
Ambient signatures related to the power grid offer an under-utilized opportunity to verify the time and location of sensing data collected by the Internet-of-Things (IoT).
Mudi Zhang, Charana Sonnadara, Sahil Shah, Min Wu   +3 more
doaj   +1 more source

A Statistical Method and Deep Learning Models for Detecting Denial of Service Attacks in the Internet of Things (IoT) Environment

Applied System Innovation
The flourishing of the Internet of Things (IoT) has not only improved our lives in smart homes and healthcare but also made us more susceptible to cyberattacks.
Ruuhwan, Rendy Munadi, Hilal Hudan Nuha, Erwin Budi Setiawan, Niken Dwi Wahyu Cahyani   +4 more
doaj   +1 more source

Investigation of Smart Machines with DNAs in SpiderNet

Future Internet
The advancement of Internet of Things (IoT), robots, drones, and vehicles signifies ongoing progress, accompanied by increasing complexities and challenges in forensic investigations.
Mo Adda, Nancy Scheidt
doaj   +1 more source