Results 61 to 70 of about 22,160 (195)
Building centaur responders: is emergency management ready for artificial intelligence?
Disasters, Volume 50, Issue 3, July 2026.Abstract This article examines the preparedness of emergency management (EM) for addressing questions pertaining to artificial intelligence (AI), encompassing its benefits to EM missions, the potential biases, the societal impacts, and more. We pinpoint two key shortcomings in early EM research on AI: (i) insufficient discussion of both AI's history ...
Christopher Whyte +1 more
wiley +1 more source
Improving Gait Biometrics under Spoofing Attacks [PDF]
, 2013 Gait is a relatively new biometric modality which has a precious advantage over other modalities, such as iris and voice, in that it can be easily captured from a distance. While it has recently become a topic of great interest in biometric research, there has been little investigation into gait spoofing attacks where a person tries to imitate the ...
Abdenour Hadid +3 more
openaire +2 more sources
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
Applied AI Letters, Volume 7, Issue 2, June 2026.This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang +3 more
wiley +1 more source
Anti-spoofing Methods for Automatic SpeakerVerification System
, 2017 Growing interest in automatic speaker verification (ASV)systems has lead to significant quality improvement of spoofing attackson them. Many research works confirm that despite the low equal er-ror rate (EER) ASV systems are still vulnerable to spoofing ...
Lavrentyeva, Galina +2 more
core +1 more source
Generating Pattern‐Based Datasets for Cyber Attack Detection Using Machine‐Learning Techniques
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.The aim of this work is to review the state of the art in the design, generation, and labeling of attack pattern datasets for training of detection systems based on machine learning. ABSTRACT This work aims to review the state of the art in the design, generation, and labeling of attack pattern datasets for the training of detection systems based on ...
Pedro Díaz García +4 more
wiley +1 more source
Cross-Technology-Deception Attacks Based on Meta Reinforcement Learning
Taiyuan Ligong Daxue xuebaoPurposes Internet of things (IoT) devices have been widely deployed and applied, but the openness of their transmission makes the links extremely vulnerable to attacks. Spoofing attacks are one of the main types of attack.
OU Liyuan +3 more
doaj +1 more source
Health Science Reports, Volume 9, Issue 5, May 2026.ABSTRACT Background and Aims Rising quantum hazards and flaws in conventional encryption make cloud‐based healthcare data security harder. Quantum‐Secure HealthChain, a new architecture using blockchain and quantum computing, improves medical data security, patient privacy, and data fidelity. Methods To prevent quantum attacks, the proposed system uses
Rajesh Bose +6 more
wiley +1 more source
Detection of Induced GNSS Spoofing Using S-Curve-Bias
Sensors, 2019 In Global Navigation Satellite System (GNSS), a spoofing attack consists of forged signals which possibly cause the attacked receivers to deduce a false position, a false clock, or both.
Wenyi Wang +3 more
doaj +1 more source
Detecting ADS-B Spoofing Attacks using Deep Neural Networks
, 2019 The Automatic Dependent Surveillance-Broadcast (ADS-B) system is a key component of the Next Generation Air Transportation System (NextGen) that manages the increasingly congested airspace.
Bernieri, Giuseppe +5 more
core +1 more source
Restrictive Voting Technique for Faces Spoofing Attack
International Journal of Communication Networks and Information Security (IJCNIS), 2023 Face anti-spoofing has become widely used due to the increasing use of biometric authentication systems that rely on facial recognition. It is a critical issue in biometric authentication systems that aim to prevent unauthorized access. In this paper, we propose a modified version of majority voting that ensembles the votes of six classifiers for ...
Mahmoud Omara +3 more
openaire +1 more source