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Academic Articles & Research Papers
Showing 20 of 111 academic articles
Zhihui Song, Xin Zhou, Jinchen Xu, Xiaodong Ding et al. • Scientific Reports
(2024)
Abstract In recent years, deep learning has been widely used in vulnerability detection with remarkable results. These studies often apply natural language processing (NLP) technologies due to the natural similarity between code and languag...
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Open Access (DOAJ)
DOI: 10.1038/s41598-024-63021-y
Chee‐Wooi Ten, Manimaran Govindarasu, Chen‐Ching Liu • IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans
(2010)
Disruption of electric power operations can be catastrophic on national security and the economy. Due to the complexity of widely dispersed assets and the interdependences among computer, communication, and power infrastructures, the requir...
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DOI: https://doi.org/10.1109/tsmca.2010.2048028
Vijay Ramalingam • Journal of Emerging Technologies and Innovative Research
(2019)
Cybersecurity is a widely used term with highly diverse, frequently subjective, and occasionally uninformative definitions. Disrupting force processes in national security and the economy can be disastrous. The challenge of meeting safety a...
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ROCHELLE F. H. BOHATY • Chemical & Engineering News
(2008)
PERHAPS YOU KNOW all too well the casualties of cyber war—loss of time, money, and maybe even your identity. In what seems to be a pandemic, cyber attacks on both individuals and organizations are increasing in frequency, sophistication, an...
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DOI: https://doi.org/10.1021/cen-v086n044.p018
Evan M. Selinger, Albert Fox Cahn • Cambridge University Press eBooks
(2026)
In Chapter 9, we argue that cybersecurity professionals embody the ideal of the careful, systematic upgrading that Move Slow and Upgrade has been advocating for. Unlike the flashy innovations that we’ve criticized in earlier chapters, cyber...
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DOI: https://doi.org/10.1017/9781009466592.010
Bongsik Shin • Auerbach Publications eBooks
(2021)
Aggressors and organized crimes have launched serious cybersecurity attacks, and ill-prepared public and private organizations have suffered dearly. People are the most vulnerable element in cybersecurity, and thus continuous efforts should...
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DOI: https://doi.org/10.1201/9781003123699-2
Siva Raja Sindiramutty, Chong Eng Tan, Sei Ping Lau, Rajan Thangaveloo et al. • Advances in computational intelligence and robotics book series
(2024)
In recent years, the utilization of AI in the field of cybersecurity has become more widespread. Black-box AI models pose a significant challenge in terms of interpretability and transparency, which is one of the major drawbacks of AI-based...
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DOI: https://doi.org/10.4018/978-1-6684-6361-1.ch002
Chee‐Wooi Ten, Chen‐Ching Liu, Manimaran Govindarasu • IEEE Transactions on Power Systems
(2008)
Vulnerability assessment is a requirement of NERC's cybersecurity standards for electric power systems. The purpose is to study the impact of a cyber attack on supervisory control and data acquisition (SCADA) systems. Compliance of the requ...
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DOI: https://doi.org/10.1109/tpwrs.2008.2002298
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 ...
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DOI: https://doi.org/10.2139/ssrn.3100364
PMC: 5996174
Žiga Turk, Borja García de Soto, Bharadwaj R. K. Mantha, Abel Maciel et al. • Automation in Construction
(2021)
Today, the built environment is designed, built, and managed using digital technology, making it increasingly exposed to cyber security risks. Cybersecurity is a general topic, and the construction sector has been borrowing general solution...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.autcon.2021.103988
Chadi Nohra, Bechara Nehme, Raymond Ghandour, Ossama Dankar et al. • IEEE Access
(2026)
The integration of communication networks into modern power systems introduces variable time delays that degrade the performance of traditional Load Frequency Control (LFC), while the shift towards renewable energy sources increases system ...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2026.3675126
Daniel Le Rudulier, A R Strøm, Abhaya M. Dandekar, Linda Tombras Smith et al. • Science
(1984)
The drought of 1983 resulted in some 10 billion dollars in agricultural losses and has focused attention on the vulnerability of our major crops to this devastating form of environmental stress. This article is concerned with the molecular ...
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DOI: https://doi.org/10.1126/science.224.4653.1064
Yousik Lee, Samuel Woo, Yunkeun Song, Jungho Lee et al. • IEEE Access
(2020)
Emerging trends that are shaping the future of the automotive industry include electrification, autonomous driving, sharing, and connectivity, and these trends keep changing annually. Thus, the automotive industry is shifting from mechanica...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.3004661
Adiah Qazi, Sadiqa Arshad, Ammad Ali Khan Jadoon • Scientific Reports
(2026)
Abstract Enterprise Resource Planning (ERP) systems serve as critical infrastructure for modern organizations, yet their security assessment lacks standardized evaluation frameworks. This study develops and applies a structured Security Mat...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-45550-w
Vander Luis de Souza Freitas, Thais Cláudia Roma de Oliveira Konstantyner, Jeferson Feitosa Mendes, Cátia Souza do Nascimento Sepetauskas et al. • Cadernos de Saúde Pública
(2020)
The inter-cities mobility network is of great importance in understanding outbreaks, especially in Brazil, a continental-dimension country. We adopt the data from the Brazilian Ministry of Health and the terrestrial flow of people between c...
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Open Access (DOAJ)
DOI: 10.1590/0102-311x00184820
Jiang Du, Qiang Wei, Yisen Wang, Xingyu Bai • Entropy
(2025)
Recent advances in graph neural networks have transformed structural pattern learning in domains ranging from social network analysis to biomolecular modeling. Nevertheless, practical deployments in mission-critical scenarios such as binary...
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Open Access (DOAJ)
DOI: 10.3390/e27040392
Khaled Abud, Sergey Lavrushkin, Dmitry Vatolin • Big Data and Cognitive Computing
(2025)
Neural-network-based models have made considerable progress in many computer vision areas over recent years. However, many works have exposed their vulnerability to malicious input data manipulation—that is, to adversarial attacks. Although...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/bdcc9070166
Zhen Li, Deqing Zou, Shouhuai Xu, Xinyu Ou et al. • Network and Distributed System Security Symposium
(2018)
The automatic detection of software vulnerabilities is an important research problem.However, existing solutions to this problem rely on human experts to define features and often miss many vulnerabilities (i.e., incurring high false negati...
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Open Access
DOI: https://doi.org/10.14722/ndss.2018.23158
Romulus Costache, Hazem Ghassan Abdo, Arun Pratap Mishra, Subodh Chandra Pal et al. • Geomatics, Natural Hazards & Risk
(2023)
AbstractIn this work, the vulnerability to flooding in the Prahova River basin was calculated and analyzed using advanced methods and techniques. Thus, 2 hybrid models represented by Iterative Classifier Optimizer – Multiclass Alternating D...
DOAJ
Open Access (DOAJ)
DOI: 10.1080/19475705.2023.2281241
Alejandro Casallas, Camila Jiménez-Saenz, Victor Torres, Miguel Quirama-Aguilar et al. • Sensors
(2022)
Throughout the years, wildfires have negatively impacted ecological systems and urban areas. Hence, reinforcing territorial risk management strategies against wildfires is essential. In this study, we built an early alert system (EAS) with ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s22228790