Journal of Computer and Communications, Год журнала: 2024, Номер 12(12), С. 55 - 71
Опубликована: Янв. 1, 2024
Язык: Английский
Journal of Computer and Communications, Год журнала: 2024, Номер 12(08), С. 81 - 98
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
11
Journal of Business and Management Studies, Год журнала: 2024, Номер 6(5), С. 13 - 22
Опубликована: Авг. 29, 2024
Evaluating risks is essential for ensuring security preparedness from the perspective of technology and information management. The proposed project aims to develop an IT system grounded in risk analysis create a cybersecurity decision support model. In this study, public retail corporation with over 60 subsidiaries on-premises cloud-based ecosystem was examined. model focuses on reducing threats industry by acquiring optimal system. model, analyzed using eight steps OCTAVE Allegro method. Based method, yielded effective results demonstrated correlation between importance compliance evaluations addressing these threats. Furthermore, study contributed strategic policymakers providing recommendations cyber security. were designed determine most process developing technology. addition, evaluation research can assist businesses formulating policies that will capable efficient systems.
Язык: Английский
Процитировано
10
Journal of Computer and Communications, Год журнала: 2024, Номер 12(08), С. 257 - 277
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
9
Journal of Computer and Communications, Год журнала: 2024, Номер 12(10), С. 78 - 93
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
9
Journal of Computer Science and Technology Studies, Год журнала: 2024, Номер 6(3), С. 86 - 96
Опубликована: Авг. 7, 2024
Convolutional Neural Networks (CNNs) have emerged as a powerful tool for various pattern recognition tasks, including the detection of cyber-attacks in Industrial Control Systems (ICS). This paper presents CNN-based system specifically designed to safeguard ICS from sophisticated cyber threats. The proposed leverages capability CNNs automatically learn and extract high-level features raw data, enabling it identify anomalies indicative with high accuracy. Utilizing comprehensive cyber-attack dataset containing 59 different types attacks, is trained distinguish between normal malicious traffic effectively. Based on extensive dataset, this study demonstrates that achieves rate 98.5% false-positive 1.2%, significantly outperforming traditional methods. indicates system's ability accurately wide range attack types, while low ensures minimal disruption operations due incorrect alerts. These results underscore robustness reliability identifying subtle complex patterns. Moreover, adapt new attacks continues updated datasets, making scalable future-proof solution. Implementing can enhance cybersecurity posture industrial environments by providing real-time monitoring rapid response capabilities. offers significant advancement cybersecurity. Effectively mitigating contributes resilience critical infrastructure. approach improves security measures processes' continuous safe operation, which vital economic stability public safety.
Язык: Английский
Процитировано
8
Journal of Computer Science and Technology Studies, Год журнала: 2024, Номер 6(3), С. 56 - 64
Опубликована: Авг. 7, 2024
The introduction and implementation of Artificial Intelligence (AI) in higher education has brought out new opportunities obstacles. utilization AI will result a significant transformation the governance structure within global educational institutions. potential use involves exploring implications how teachers may enhance their teaching methods, students can improve learning experience, institutions make more accurate timely judgments. This is because workload significantly increased as widespread expansion education. Given circumstances, assistance crucial. artificial intelligence matter this context. objective study to investigate feasibility individuals adopting it. To do this, we have formulated hypotheses conceptual framework, which then validated through survey by obtaining feedback from total 240 respondents. Research discovered that model assist authorities promoting outcome help practitioners understand insights people’s intentions psychology sectors.
Язык: Английский
Процитировано
7
Journal of Computer and Communications, Год журнала: 2024, Номер 12(08), С. 242 - 256
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
7
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0
Universal library of engineering technology., Год журнала: 2025, Номер 02(01), С. 49 - 52
Опубликована: Апрель 10, 2025
This study analyzes innovative strategies for scaling service businesses in the U.S. amid digital transformation of economy. It examines key methods, including franchising, AI automation, data-driven advertising, and logistics optimization, as tools transitioning from a local to national network. Based on literature review academic research, empirical analysis, case studies, finds that integrating modern technologies accelerates market expansion, enhances operational efficiency, strengthens competitiveness companies. The results indicate synergistic effect comprehensive application methods contributes development sustainable business models capable effectively responding dynamic conditions. findings will be valuable entrepreneurs, investors, consultants interested developing implementing effective growth companies highly competitive technologically evolving environment. Additionally, benefit economists professionals franchise management, offering insights into adaptation technologies, marketing strategies, efficiencies necessary successfully expanding scale.
Язык: Английский
Процитировано
0
Cogent Business & Management, Год журнала: 2025, Номер 12(1)
Опубликована: Март 4, 2025
Язык: Английский
Процитировано
0