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Showing 16 of 36 academic articles

Cybersecurity

Duane C. Wilson • The MIT Press eBooks (2021)

An accessible guide to cybersecurity for the everyday user, covering cryptography and public key infrastructure, malware, blockchain, and other topics. It seems that everything we touch is connected to the internet, from mobile phones and w...

OPENALEX DOI: https://doi.org/10.7551/mitpress/11656.001.0001

Guidelines for usable cybersecurity: Past and present

Jason R. C. Nurse, Sadie Creese, Michael H. Goldsmith, Koen Lamberts (2011)

Usability is arguably one of the most significant social topics and issues within the field of cybersecurity today. Supported by the need for confidentiality, integrity, availability and other concerns, security features have become standar...

OPENALEX Open Access DOI: https://doi.org/10.1109/css.2011.6058566

Cybersecurity

Cláudia Canongia, Raphael Mandarino • IGI Global eBooks (2011)

This chapter introduces the theme of cybersecurity, its importance in the actual scenario, and the challenges of the new Information Society, whose critical development factors are the technological revolution and innovation. The revolution...

OPENALEX DOI: https://doi.org/10.4018/978-1-61350-168-9.ch009

Cybersecurity for Connected Diabetes Devices

David Charles Klonoff • Journal of Diabetes Science and Technology (2015)

Diabetes devices are increasingly connected wirelessly to each other and to data-displaying reader devices. Threats to the accurate flow of information and commands may compromise the function of these devices and put their users at risk of...

OPENALEX Open Access DOI: https://doi.org/10.1177/1932296815583334 PMC: 4667325

A Systematic Literature Review on Modern Cryptographic and Authentication Schemes for Securing the Internet of Things

Tehseen Hussain, Fraz Ahmad, Dr. Zia Ur Rehman • NUML International Journal of Engineering and Computing (2026)

The rapid integration of the Internet of Things (IoT) into healthcare ecosystems has revolutionized patient monitoring and data accessibility; however, it has simultaneously expanded the cyber-attack surface, leaving sensitive medical data ...

DOAJ Open Access (DOAJ)

The Significance of Machine Learning and Deep Learning Techniques in Cybersecurity: A Comprehensive Review

Maad Mijwil, Israa Ezzat Salem, Marwa M. Ismaeel • Iraqi Journal for Computer Science and Mathematics (2023)

People in the modern era spend most of their lives in virtual environments that offer a range of public and private services and social platforms. Therefore, these environments need to be protected from cyber attackers that can steal data o...

DOAJ Open Access (DOAJ) DOI: 10.52866/ijcsm.2023.01.01.008

Cybersecurity

Cláudia Canongia, Raphael Mandarino • IGI Global eBooks (2013)

This chapter introduces the theme of cybersecurity, its importance in the actual scenario, and the challenges of the new Information Society, whose critical development factors are the technological revolution and innovation. The revolution...

OPENALEX DOI: https://doi.org/10.4018/978-1-4666-4707-7.ch003

Adversarial XAI Methods in Cybersecurity

Aditya Kuppa, Nhien‐An Le‐Khac • IEEE Transactions on Information Forensics and Security (2021)

Machine Learning methods are playing a vital role in combating ever-evolving threats in the cybersecurity domain. Explanation methods that shed light on the decision process of black-box classifiers are one of the biggest drivers in the suc...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1109/tifs.2021.3117075

Enhancing Communication Security in Drones Using QRNG in Frequency Hopping Spread Spectrum

J. de Curtò, I. de Zarzà, Juan-Carlos Cano, Carlos T. Calafate • Future Internet (2024)

This paper presents a novel approach to enhancing the security and reliability of drone communications through the integration of Quantum Random Number Generators (QRNG) in Frequency Hopping Spread Spectrum (FHSS) systems. We propose a mult...

DOAJ Open Access (DOAJ) DOI: 10.3390/fi16110412

SIMULATION OF INFORMATION SECURITY RISKS OF AVAILABILITY OF PROJECT DOCUMENTS BASED ON FUZZY LOGIC

Oleksii M. Shushura, Liudmyla A. Asieieva, Oleksiy L. Nedashkivskiy, Yevhen V. Havrylko et al. • Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska (2022)

The widespread use of computer technology, its rapid development and use in almost all areas of human activity requires constant updating of information security issues. The activities of many enterprises in the field of IT, construction, a...

DOAJ Open Access (DOAJ) DOI: 10.35784/iapgos.3033

Privacy-Preserving Deep Learning

Reza Shokri, Vitaly Shmatikov • ACM SIGSAC Conference on Computer and Communications Security (CCS) (2015)

Deep learning based on artificial neural networks is a very popular approach to modeling, classifying, and recognizing complex data such as images, speech, and text. The unprecedented accuracy of deep learning methods has turned them into t...

OPENALEX DOI: https://doi.org/10.1145/2810103.2813687

Stealing Hyperparameters in Machine Learning

Binghui Wang, Neil Zhenqiang Gong • IEEE Symposium on Security and Privacy (S&P) (2018)

Hyperparameters are critical in machine learning, as different hyperparameters often result in models with significantly different performance. Hyperparameters may be deemed confidential because of their commercial value and the confidentia...

OPENALEX Open Access DOI: https://doi.org/10.1109/sp.2018.00038

Leveraging Cloud Technology for Personalized Multiple Sclerosis Care: A Comprehensive Data Management and Visualization Approach

Jose Manuel PINILLOS RUBIO, Minerva VIGUERA MORENO • Applied Medical Informatics (2024)

This project develops a cloud-based solution for securely managing clinical data and patient-reported outcomes (PROMs) for multiple sclerosis (MS) patients. Utilizing REDCap for data collection, we incorporated clinical outcomes and PROMs f...

DOAJ Open Access (DOAJ)