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A Comprehensive Cybersecurity Audit Model to Improve Cybersecurity Assurance: The CyberSecurity Audit Model (CSAM)

Régner Sabillón, Jordi Serra-Ruiz, Víctor Cavaller, Jeimy J. Cano M. • International Conference on Information Systems and Computer Science (INCISCOS) (2017)

Nowadays, private corporations and public institutions are dealing with constant and sophisticated cyberthreats and cyberattacks. As a general warning, organizations must build and develop a cybersecurity culture and awareness in order to d...

OPENALEX Open Access DOI: https://doi.org/10.1109/inciscos.2017.20

The Role of Machine Learning in Cybersecurity

Giovanni Apruzzese, Pavel Laskov, Edgardo Montes de, Wissam Mallouli et al. • Digital Threats Research and Practice (2022)

Machine Learning (ML) represents a pivotal technology for current and future information systems, and many domains already leverage the capabilities of ML. However, deployment of ML in cybersecurity is still at an early stage, revealing a s...

OPENALEX Open Access DOI: https://doi.org/10.1145/3545574

A Review of the Insider Threat, a Practitioner Perspective Within the U.K. Financial Services

Findlay Whitelaw, Jackie Riley, Nebrase Elmrabit • IEEE Access (2024)

The insider threat within organisational cybersecurity continues to be of great concern globally. The current insider threat detection strategies are acknowledged as ineffective, evidenced by the increased reported events in high-profile in...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3373265

Cybersecurity

Michael Veale, Ian Brown • Internet Policy Review (2020)

Cite as Michael Veale and Ian Brown (2020) 'Cybersecurity' 9(4) Internet Policy Review Cybersecurity covers the broad range of technical and social issues that must be considered to protect networked information systems. The importance of t...

OPENALEX cc-by DOI: https://doi.org/10.14763/2020.4.1533

Practical Vulnerability-Information-Sharing Architecture for Automotive Security-Risk Analysis

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...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2020.3004661

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

Natural language processing for information assurance and security

Mikhail J. Atallah, Craig Jerome Mcdonough, Victor Raskin, Sergei Nirenburg • New Security Paradigms Workshop (2001)

This research paper explores a promising interface between natural language processing (NLP) and information assurance and security (IAS). More specificall~ it is devoted to possible applications to, and further dedicated development of, th...

OPENALEX DOI: https://doi.org/10.1145/366173.366190

Rider Optimization With Deep Learning Based Image Encryption for Secure Drone Communication

N. Kannaiya Raja, E. Laxmi Lydia, Thumpala Archana Acharya, K. Radhika et al. • IEEE Access (2023)

In recent years, drones or Unmanned Aerial Vehicles (UAVs) got significant attention among researchers because of their extensive application in commercial applications, border surveillance, etc. As the conventional terrestrial communicatio...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3324068

Review of Deep Learning for Language Modeling

WANG Sili, ZHANG Ling, YANG Heng, LIU Wei • Nongye tushu qingbao xuebao (2023)

[Purpose/Significance] Deep learning for language modeling is one of the major methods and advanced technologies to enhance language intelligence of machines at present, which has become an indispensable important technical means for automa...

DOAJ Open Access (DOAJ) DOI: 10.13998/j.cnki.issn1002-1248.23-0251

FinTech in Russia under circumstances of IT technologies development: development challenges and solutions

Ponomareva M.A., Karpukhin D.V., Stolyarova A.N. • E3S Web of Conferences (2020)

In modern Russia, the FinTech is relevant to the development of the financial segment of the economy. The Government evaluates the prospects of development of artificial intelligence technology, blockchain, big data in the area of budget, t...

DOAJ Open Access (DOAJ) DOI: 10.1051/e3sconf/202022403030

Comparative architectural evaluation of CNN models with alternative classifiers for UAV-based detection of damaged green zones

Nodir Rakhimov, Jura Kuvandikov, Ma'ruf Tojiyev, Dilmurod Khasanov et al. • Frontiers in Artificial Intelligence (2026)

Unmanned aerial vehicle imagery provides a practical and high-resolution data source for monitoring the spatial condition of urban and peri-urban green zones. However, the reliable detection of damaged, stressed, or declining vegetation are...

DOAJ Open Access (DOAJ) DOI: 10.3389/frai.2026.1910842