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Threat Object-based anomaly detection in X-ray images using GAN-based ensembles
The problem of detecting dangerous or prohibited objects in luggage is a very important step during the implementation of Security setup at Airports,...
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AFTD-Net: real-time anchor-free detection network of threat objects for X-ray baggage screening
X-ray baggage screening is a vitally important task to detect all kinds of threat objects at controlled access positions, which can prevent crime and...
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An autoML network traffic analyzer for cyber threat detection
Timely detection and effective treatment of cyber-attacks for protecting personal and sensitive data from unauthorized disclosure constitute a core...
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Cascaded structure tensor for robust baggage threat detection
In the last two decades, baggage scanning has become one of the prime aviation security concerns worldwide. Manual screening of the baggage items is...
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Threat Detection in Self-Driving Vehicles Using Computer Vision
On-road obstacle detection is an important field of research that falls in the scope of intelligent transportation infrastructure systems. The use of...
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An automated detection model of threat objects for X-ray baggage inspection based on depthwise separable convolution
X-ray baggage inspection is an essential task to detect threat objects at important controlled access places, which can guard personal safety and...
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Detection of threat objects in baggage inspection with X-ray images using deep learning
In the field of security, baggage-screening with X-rays is used as nondestructive testing for threat object detection. This is a common protocol when...
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Programmable broad learning system for baggage threat recognition
Detecting illegal and harmful objects in baggage at airports, subways, and bus stations has always been a difficult task that requires intense focus...
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Protection of Computational Machine Learning Models against Extraction Threat
AbstractThe extraction threat to machine learning models is considered. Most contemporary methods of defense against the extraction of computational...
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Image Recognition and Threat Detection in Bags Arriving at the Airport
International transport security policy requires the baggage screening. In airports and railway stations, these operations are processed manually...
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APT-Dt-KC: advanced persistent threat detection based on kill-chain model
Advanced persistent threat attacks are considered as a serious risk to almost any infrastructure since attackers are constantly changing and evolving...
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Event-Based Threat Intelligence Ontology Model
Cyber Threat Intelligence (CTI) has become an essential part of contemporary threat detection and response solutions. However, threat intelligence is...
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Privacy-Preserving Cyber Threat Information Sharing Leveraging FL-Based Intrusion Detection in the Financial Sector
This paper presents an architectural proposal for enhancing anomaly detection in the CyberSec4Europe project use case Open Banking. It proposes a...
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Classification and Detection of Prohibited Objects in X-Ray Baggage Security Images
Airport security is strengthened by baggage screening to prevent potential threats and ensure safety. Researchers have been striving to create more...
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Detection Method of Aggregated Floating Objects on Water Surface Based on Attention Mechanism and YOLOv3
With the development of smart water conservancy construction, a realistic demand for using computer vision technology to assist in the supervision of...
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TIM: threat context-enhanced TTP intelligence mining on unstructured threat data
TTPs (Tactics, Techniques, and Procedures), which represent an attacker’s goals and methods, are the long period and essential feature of the...
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Detection of Objects Dangerous for the Operation of Mining Machines
Deep learning was used to detect boulders that can damage excavators in opencast mines. Different network architectures were applied, i.e., modern...
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Threats and Threat Intelligence
Digital technologies used in digital transformation are essential for every industrial, public, and private organization. In industry, the automation...
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Visual Perception of Threat: Structure, Dynamics, and Individual Differences
Efficient recognition of potential threats greatly enhances an organism’s chances of survival. This involves the ability to rapidly identify and...
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Benchmarking Object Detection Robustness against Real-World Corruptions
With the rapid recent development, deep learning based object detection techniques have been applied to various real-world software systems,...
