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Crowdsourcing Cybersecurity

Rupinder Paul Khandpur, Taoran Ji, Steve Jan, Gang Wang et al. • ACM International Conference on Information and Knowledge Management (CIKM) (2017)

Social media is often viewed as a sensor into various societal events such as disease outbreaks, protests, and elections. We describe the use of social media as a crowdsourced sensor to gain insight into ongoing cyber-attacks. Our approach ...

OPENALEX Open Access DOI: https://doi.org/10.1145/3132847.3132866

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

Quantum Computing for Cybersecurity

Mohammad Alauthman, Ammar Almomani, Ahmad Al–Qerem, Mohammad Ali Al Khaldy et al. • Advances in information security, privacy, and ethics book series (2024)

This chapter explores the impact of quantum computing on cybersecurity, comparing classical and quantum techniques. It provides an overview of the current quantum landscape, focusing on the threats posed by quantum algorithms to traditional...

OPENALEX DOI: https://doi.org/10.4018/979-8-3693-5330-1.ch004

Graph Mining for Cybersecurity: A Survey

Bo Yan, Cheng Hong Yang, Chuan Shi, Yong Fang et al. • ACM Transactions on Knowledge Discovery from Data (2023)

The explosive growth of cyber attacks today, such as malware, spam, and intrusions, has caused severe consequences on society. Securing cyberspace has become a great concern for organizations and governments. Traditional machine learning ba...

OPENALEX Open Access DOI: https://doi.org/10.1145/3610228

Review of Generative AI methods in cybersecurity

Yagmur Yigit, William Johnston Buchanan, Madjid Tehrani, Leandros A. Maglaras • Internet of Things and Cyber-Physical Systems (2025)

Over the last decade, Artificial Intelligence (AI) has become increasingly popular, especially with the use of chatbots such as ChatGPT, Google’s Gemini, and DALL-E. With this rise, large language models (LLMs) and Generative AI (GenAI) hav...

OPENALEX cc-by DOI: https://doi.org/10.1016/j.iotcps.2026.04.001

New Solutions for Cybersecurity

• The MIT Press eBooks (2018)

Experts from MIT explore recent advances in cybersecurity, bringing together management, technical, and sociological perspectives. Ongoing cyberattacks, hacks, data breaches, and privacy concerns demonstrate vividly the inadequacy of existi...

OPENALEX DOI: https://doi.org/10.7551/mitpress/11636.001.0001

Deep Learning in Cybersecurity

Yadigar İmamverdiyev, Fargana J. Abdullayeva • International Journal of Cyber Warfare and Terrorism (2020)

In this article, a review and summarization of the emerging scientific approaches of deep learning (DL) on cybersecurity are provided, a structured and comprehensive overview of the various cyberattack detection methods is conducted, existi...

OPENALEX DOI: https://doi.org/10.4018/ijcwt.2020040105

Machine learning in cybersecurity: A review

Anand Handa, Ashu Sharma, Sandeep K. Shukla • Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2019)

Machine learning technology has become mainstream in a large number of domains, and cybersecurity applications of machine learning techniques are plenty. Examples include malware analysis, especially for zero‐day malware detection, threat a...

OPENALEX DOI: https://doi.org/10.1002/widm.1306

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

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

Cybersecurity in Hospitals: A Systematic, Organizational Perspective

Mohammad S. Jalali, Jessica Kaiser • Journal of Medical Internet Research (2018)

BACKGROUND: Cybersecurity incidents are a growing threat to the health care industry in general and hospitals in particular. The health care industry has lagged behind other industries in protecting its main stakeholder (ie, patients), and ...

OPENALEX cc-by DOI: https://doi.org/10.2139/ssrn.3100364 PMC: 5996174

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

INTERNATIONAL CYBERSECURITY EXPERIENCE AND CYBERSECURITY MODELS

Zina Zinelovna Nurysh, E.I. Isibaeva, Zhanna B. Shayakhmetova, Darkan Serik • «Вестник Атырауского университета имени Халела Досмухамедова» (2026)

In the article, the authors explore the state's capabilities in cybersecurity issues directly related to foreign national security experience. The mechanisms of public administration will be considered in order to improve cybersecurity in t...

OPENALEX cc-by DOI: https://doi.org/10.47649/vau.26.v80.i1.54

Leveraging human factors in cybersecurity: an integrated methodological approach

Alessandro Pollini, Tiziana C. Callari, Alessandra Tedeschi, Daniele Ruscio et al. • Cognition Technology & Work (2021)

Computer and Information Security (CIS) is usually approached adopting a technology-centric viewpoint, where the human components of sociotechnical systems are generally considered as their weakest part, with little consideration for the en...

OPENALEX cc-by DOI: https://doi.org/10.1007/s10111-021-00683-y PMC: 8195225

Natural language processing in mental health applications using non-clinical texts

Rafael A. Calvo, David Milne, M. Sazzad Hussain, Helen M Christensen • Natural Language Engineering (2017)

Abstract Natural language processing (NLP) techniques can be used to make inferences about peoples’ mental states from what they write on Facebook, Twitter and other social media. These inferences can then be used to create online pathways ...

OPENALEX cc-by DOI: https://doi.org/10.1017/s1351324916000383

Natural Language Processing of Nursing Notes

Shazia A. Mitha, Jessica Schwartz, Mollie Hobensack, Kenrick Cato et al. • CIN Computers Informatics Nursing (2022)

Natural language processing includes a variety of techniques that help to extract meaning from narrative data. In healthcare, medical natural language processing has been a growing field of study; however, little is known about its use in n...

OPENALEX Open Access DOI: https://doi.org/10.1097/cin.0000000000000967 PMC: 11499545

Quantifying Uncertainties in Natural Language Processing Tasks

Yijun Xiao, William Yang Wang • Proceedings of the AAAI Conference on Artificial Intelligence (2019)

Reliable uncertainty quantification is a first step towards building explainable, transparent, and accountable artificial intelligent systems. Recent progress in Bayesian deep learning has made such quantification realizable. In this paper,...

OPENALEX Open Access DOI: https://doi.org/10.1609/aaai.v33i01.33017322