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A Game-theoretic Taxonomy and Survey of Defensive Deception for Cybersecurity and Privacy

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...

OPENALEX Open Access DOI: https://doi.org/10.1145/3337772

Cybersecurity

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...

OPENALEX DOI: https://doi.org/10.4324/9781315154206-12

The protoscience of cybersecurity

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...

OPENALEX cc-by-nc DOI: https://doi.org/10.1177/1548512917737635

Machine learning in cybersecurity: a comprehensive survey

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...

OPENALEX DOI: https://doi.org/10.1177/1548512920951275

Synergizing Generative AI and Cybersecurity: Roles of Generative AI Entities, Companies, Agencies, and Government in Enhancing Cybersecurity

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...

OPENALEX cc-by DOI: https://doi.org/10.36227/techrxiv.23968809.v1

Hacking the Human: The Prevalence Paradox in Cybersecurity

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...

OPENALEX Open Access DOI: https://doi.org/10.1177/0018720818780472

Teaching Cybersecurity with DeterLab

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...

OPENALEX DOI: https://doi.org/10.1109/msp.2012.23

Generative AI in cybersecurity: A comprehensive review of LLM applications and vulnerabilities

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...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.iotcps.2025.01.001

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

A Survey on Cybersecurity in IoT

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...

OPENALEX cc-by DOI: https://doi.org/10.3390/fi17010030

Recommender Systems in Cybersecurity

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...

OPENALEX cc-by DOI: https://doi.org/10.1007/s10115-023-01906-6

From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy

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’...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1109/access.2023.3300381

Towards Evaluating the Robustness of Neural Networks

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'...

OPENALEX Open Access DOI: https://doi.org/10.1109/sp.2017.49

Introduction to Neural Networks.

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....

OPENALEX Open Access DOI: https://doi.org/10.21236/ada248258