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Combining Constraint-Based and Imperative Programming in MABS for More Reliable Modelling
We argue for a combination of declarative/constraint and imperative programming approaches for MABS: a declarative layer that specified the ontology,...
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Smart Appliance Abnormal Electrical Power Consumption Detection
Potential cyber threats now have an immensely larger attack surface due to the widespread use of smart devices and smart environments. Smart home...
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Enhancing Cognition Through Cooperative Learning and Augmented Mentorship
With increasing cybercrime, educational institutions are working to create increased opportunities for people to enter the cyber workforce. Some...
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Projective Space Stern Decoding and Application to SDitH
We show that here standard decoding algorithms for generic linear codes over a finite field can speeded up by a factor which is essentially the size...
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Assessment of a Novel Virtual Environment for Examining Cognitive-Motor Processes During Execution of Action Sequences in a Human-Robot Teaming Context
With the development of advanced AI and robotic systems, there is a growing interest in examining human-robot teaming. While the vast majority of...
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Evaluation of Lightweight Machine Learning-Based NIDS Techniques for Industrial IoT
Internet of Things (IoT) devices have revolutionized communication, transportation, healthcare, and many other fields. In particular, the adoption of...
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Device Fingerprinting in a Smart Grid CPS
Data integrity attacks on the various meter readings found in smart grid systems can be executed to be undetectable by current detection algorithms...
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Towards Discovering Quantum-Threats for Applications Using Open-Source Libraries
The improvement of quantum computing poses a significant threat to cryptographic security. It enables the potential utilization of quantum algorithms...
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Game Theoretic Modeling of Insider Threats in an Organization
Insider threats have emerged as serious threats to organizations due to the rapid advancement and incorporation of communication technologies....
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One Time Chat – A Toy End-to-End Encrypted Web Messaging Service
In the digital age, instant messaging (IM) is a cornerstone of communication, necessitating secure and efficient platforms. The One Time Chat web...
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Everything All at Once: Deep Learning Side-Channel Analysis Optimization Framework
Deep learning is becoming an increasingly proficient tool for side-channel analysis. While deep learning has been evolving around the tasks of image...
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Physically Unclonable Fingerprints for Authentication
We have developed an innovative fingerprinting method using the melt-electrospinning printing process for product authentication. This method...
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Cross-Correlation Based Trace Segmentation for Clustering Power Analysis on Public Key Cryptosystems
Simple Power Analysis (SPA) is a technique that directly analyzes the power consumption information collected during the execution of cryptographic...
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Privacy-Preserving Sentiment Analysis Using Homomorphic Encryption and Attention Mechanisms
Homomorphic encryption (HE) is a promising approach to preserving the privacy of data used in machine learning by allowing computations to be...
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Quantum Circuit Design for the Lee-Brickell Based Information Set Decoding
In the race for quantum-safe cryptography, fostered by the ongoing National Institute of Standards and Technology (NIST) post-quantum standardization...
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Diversity Algorithms for Laser Fault Injection
Before third-party evaluation and certification, manufacturers often conduct internal security evaluations on secure hardware devices, including...
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One Class to Test Them All: One-Class Classifier-Based ADS-B Location Spoofing Detection
Automatic Dependent Surveillance-Broadcast (ADS-B) is an integral part of the Next Generation Air Transport System, providing an efficient and safe...
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Early Use of Augmented Cognition for Online Learning Games in Hawai‘i
This paper provides a historical and regional perspective on the adoption of technologies in online learning, focusing on gamification as an aspect...
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Distance-Based Lifestyle Medicine for Veterans with Chronic Multi-symptom Illness (CMI): Health Coaching as Behavioral Health Intervention for Clinical Adherence
Chronic multi-symptom illness (CMI) is characterized by persistent, difficult to treat symptoms that interfere with daily functioning, affecting...
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Can Neurofeedback Training Decrease Cognitive Bias? An Exploratory Analysis
Cognitive biases are ubiquitous and finding ways to mitigate them has been an ongoing challenge. Here, we explore the possibility that brain training...