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Academic Articles & Research Papers
Showing 20 of 150 academic articles
Jeffrey Pawlick, Edward Colbert, Quanyan Zhu • ACM Computing Surveys
(2019)
Cyberattacks on both databases and critical infrastructure have threatened public and private sectors. Ubiquitous tracking and wearable computing have infringed upon privacy. Advocates and engineers have recently proposed using defensive de...
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Open Access
DOI: https://doi.org/10.1145/3337772
Bongsik Shin • Auerbach Publications eBooks
(2017)
This chapter explains various technologies available to counter the cybersecurity threats and to protect workplaces. Defending an organization from cybersecurity threats, there are some general principles to follow in planning defense strat...
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DOI: https://doi.org/10.4324/9781315154206-12
Kyounggon Kim, Jun Seok Kim, Seong Hoon Jeong, Jo-Hee Park et al. • Computers & Security
(2021)
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DOI: https://doi.org/10.1016/j.cose.2020.102150
Jon R. Lindsay • International Security
(2015)
Exaggerated fears about the paralysis of digital infrastructure and the loss of competitive advantage contribute to a spiral of mistrust in U.S.-China relations. In every category of putative Chinese cyber threat, there are also considerabl...
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Open Access
DOI: https://doi.org/10.1162/isec_a_00189
Eric Hatleback • The Journal of Defense Modeling and Simulation Applications Methodology Technology
(2017)
I argue that marking a proper distinction between two types of research in the cybersecurity field obviates the present debate concerning a “science of cybersecurity.” Once the terminology has been properly disambiguated, the accurate descr...
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DOI: https://doi.org/10.1177/1548512917737635
Dipankar Dasgupta, Zahid Akhtar, Sajib Sen • The Journal of Defense Modeling and Simulation Applications Methodology Technology
(2020)
Today’s world is highly network interconnected owing to the pervasiveness of small personal devices (e.g., smartphones) as well as large computing devices or services (e.g., cloud computing or online banking), and thereby each passing minut...
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DOI: https://doi.org/10.1177/1548512920951275
Pan Singh Dhoni, Ravinder Kumar (2023)
The digital landscape of the modern world has witnessed a remarkable evolution over the past few decades, with technological advancements permeating every facet of our lives. While these innovations have brought forth unprecedented convenie...
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DOI: https://doi.org/10.36227/techrxiv.23968809.v1
Calvin Nobles • HOLISTICA – Journal of Business and Public Administration
(2018)
Abstract Human factors remained unexplored and underappreciated in information security. The mounting cyber-attacks, data breaches, and ransomware attacks are a result of human-enabled errors, in fact, 95% of all cyber incidents are human-e...
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DOI: https://doi.org/10.2478/hjbpa-2018-0024
Ben D. Sawyer, Peter A. Hancock • Human Factors The Journal of the Human Factors and Ergonomics Society
(2018)
OBJECTIVE: This work assesses the efficacy of the "prevalence effect" as a form of cyberattack in human-automation teaming, using an email task. BACKGROUND: Under the prevalence effect, rare signals are more difficult to detect, even when t...
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Open Access
DOI: https://doi.org/10.1177/0018720818780472
• Choice Reviews Online
(2015)
1. Why cyberspace is wonderfulEL and complicated What is cyberspace? Why do people talk about the difference of a networked world? How does the Internet actually work? Who owns this thing? WaitEL You mean no one runs the internet? What can ...
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DOI: https://doi.org/10.5860/choice.188472
Jelena Mirković, Terry Benzel • IEEE Security & Privacy
(2012)
The DETER project aims to advance cybersecurity research and education. Over the past seven years, the project has focused on improving and redefining the methods, technology, and infrastructure for developing cyberdefense technology. The p...
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DOI: https://doi.org/10.1109/msp.2012.23
Mohamed Amine Ferrag, Fatima Alwahedi, Ammar Ayman Battah, Bilel Cherif et al. • Internet of Things and Cyber-Physical Systems
(2025)
This paper provides a comprehensive review of the future of cybersecurity through Generative AI and Large Language Models (LLMs). We explore LLM applications across various domains, including hardware design security, intrusion detection, s...
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DOI: https://doi.org/10.1016/j.iotcps.2025.01.001
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...
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DOI: https://doi.org/10.7551/mitpress/11656.001.0001
Elias Dritsas, Μαρία Τρίγκα • Future Internet
(2025)
The proliferation of the Internet of Things (IoT) has transformed the digital landscape, enabling a vast array of interconnected devices to communicate and share data seamlessly. However, the rapid expansion of IoT networks has also introdu...
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DOI: https://doi.org/10.3390/fi17010030
Leonardo Ferreira, Daniel Castro Silva, Mikel Uriarte • Knowledge and Information Systems
(2023)
Abstract With the growth of CyberTerrorism, enterprises worldwide have been struggling to stop intruders from obtaining private data. Despite the efforts made by Cybersecurity experts, the shortage of skillful security teams and the usage o...
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DOI: https://doi.org/10.1007/s10115-023-01906-6
Maanak Gupta, Charankumar Akiri, Kshitiz Aryal, Eli Parker et al. • IEEE Access
(2023)
Undoubtedly, the evolution of Generative AI (GenAI) models has been the highlight of digital transformation in the year 2022. As the different GenAI models like ChatGPT and Google Bard continue to foster their complexity and capability, it’...
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DOI: https://doi.org/10.1109/access.2023.3300381
Joseph P. Olive, Caitlin Christianson, John McCary • Springer eBooks
(2011)
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DOI: https://doi.org/10.1007/978-1-4419-7713-7
Nicholas Carlini, David Wagner • IEEE Symposium on Security and Privacy (S&P)
(2017)
Neural networks provide state-of-the-art results for most machine learning tasks. Unfortunately, neural networks are vulnerable to adversarial examples: given an input x and any target classification t, it is possible to find a new input x'...
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Open Access
DOI: https://doi.org/10.1109/sp.2017.49
Ayan Mukherjee (2018)
As famously quoted by Margaret Heffernan: - “A great deal of creativity is about pattern recognition, and what you need to discern patterns is tons of data. Your mind collects that data by taking note of random details and anomalies easily ...
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Nanette S. Holder • Defense Technical Information Center (DTIC)
(1992)
1. Introduction and overview of Artificial Neural Networks. 2,3. The Feed-forward Network as an inverse Problem, and results on the computational complexity of network training. 4.Physics applications of neural networks....
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Open Access
DOI: https://doi.org/10.21236/ada248258