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Scopus
ISSN 3078-3186 · Peninsula Publishing Press · 39 artikel di indeks
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Artikel Jurnal
Zero Trust Security: A Bibliometric Review of Concepts, Adoption, and Research Gaps
This bibliometric analysis examines the evolving landscape of Zero Trust Security literature, emphasizing the trends, key contributors, and research gaps within this critical field. Using the Biblioshiny R package, we retrieved a total of 1,200 publications from 2015 to 2023, reflecting a marked…
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Artikel Jurnal
Behavioral Analysis of Modern Malware Traffic Using Statistical Network Features
The research focused on studying modern malware traffic behaviors through statistical network feature application to improve detection systems. The research team conducted a quantitative analysis of traffic data which included multiple malware family samples to study their operational system…
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Artikel Jurnal
A Survey on Securing Smart Finance using Artificial Intelligence and Blockchain
The rapid digitalization of financial services has given rise to smart finance ecosystems that integrate FinTech platforms, Internet of Things (IoT) devices, cloud infrastructures, and decentralized applications. While these systems enhance automation, operational efficiency, and financial…
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Artikel Jurnal
A Survey on Artificial Intelligence and Blockchain Applications in Cybersecurity for Smart Cities
Smart cities rapidly evolve into transformative ecosystems where advanced technologies work together to improve urban living. These interconnected environments use emerging technologies to offer efficient services and sustainable solutions for urban challenges. As these systems become more complex…
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Artikel Jurnal
Federated Learning in Healthcare: A Bibliometric Analysis of Privacy, Security, and Adversarial Threats (2021-2024)
Federated Learning (FL) has rapidly emerged as a transformative machine learning approach, enabling healthcare institutions to collaboratively build predictive models without compromising patient data privacy. As healthcare increasingly adopts digital technologies, federated learning offers…
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Artikel Jurnal
Generative AI-Enhanced Intrusion Detection Framework for Secure Healthcare Networks in MANETs
Recent developments in healthcare security and network intrusion detection have seen the domain of Artificial Intelligence (AI) act as a decisive presence due to its increased adaptability and more resilient level of resistance towards emerging cyber threats. Due to decentralized nature and its…
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Artikel Jurnal
Beyond Detection: Large Language Models and Next-Generation Cybersecurity
The Integrating Contextual and Adaptive Cyber Defense Systems The accelerating evolution of cyber threats, seen both in terms of their complexity and frequency of attempts, makes it imperative to move away from traditional, reactive defense structures and towards intelligent, adaptive and proactive…
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Artikel Jurnal
An Integrated Federated Learning Framework with Optimization for Industrial IoT Intrusion Detection
Because of the rapidly growing number of connected devices, the Industrial Internet of Things (IIoT) has presented significant security challenges. IoT networks must be secure and efficient in order to remain sustainable. We present an integration of federated learning and optimization techniques…
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Artikel Jurnal
XAI-IDS: A Transparent and Interpretable Framework for Robust Cybersecurity Using Explainable Artificial Intelligence
The rapid evolution of cyberattacks, and in particular DDoS attacks, has outpaced many intrusion detection systems (IDSs) that fail to be interpretable or transparent, which subsequently hinders wider adoption in real-world high-stake environments. To our knowledge, this is the first joint…
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Artikel Jurnal
An Enhanced Hybrid Genetic-JAYA Algorithm for Feature Selection and SVM Parameter Optimization in Intrusion Detection Systems: Evaluation on the CICIDS Dataset
The changing scenario in the cybersecurity field requires intelligent and adaptive means of detecting sophisticated intrusions. This paper presents an improved hybrid Genetic-JAYA algorithm for simultaneous feature selection and hyperparameter tuning of an SVM-based IDS. Leveraging the CICIDS2017…
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Artikel Jurnal
An Intelligent Intrusion Detection Framework Using Deep Learning and Unsupervised Feature Selection for Industry 4.0
Manufacturing has been revolutionized by the integration of advanced technologies such as the Internet of Things, cyber-physical systems, and cloud computing, but it is also exposed to a variety of cyber-attacks because of these technologies. A system for detecting unsupervised intrusions is…
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Artikel Jurnal
Secure and Fault-Tolerant IoT-Based Healthcare System for Reliable Decision-Making
Internet of Things (IoT) integration has revolutionized healthcare, offering personalized medical care through remote patient monitoring and telemedicine. However, challenges remain in critical healthcare scenarios, such as data security vulnerabilities and system failures. This paper proposes an…
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Artikel Jurnal
Attention-Based Deep Learning for Scenario Description Embedding in Cyber Threat Records
This study aimed to address the increasing sophistication of cybersecurity threats by analyzing a substantial dataset to evaluate the efficacy of detection methodologies. Utilizing a dataset comprising 14,133 records and 16 variables, we investigated the prevalence of various cyber threats and…
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Artikel Jurnal
The impact of artificial intelligence on enhancing cyber security
Due to the increasing number of connectivity devices, the IIoT has raised lot of security problems. The IoT networks need to be secure and efficient for the sustenance of such networks. We provide an amalgamation of FL and optimization methods for anomaly detection in IIoT. Integrating CNNs into…
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Artikel Jurnal
Hypergraph-Based Time-Aware Modeling for Multi-Phase Cyber Threat Simulation and Anomaly Detection
This research uses a time-aware hypergraph design and anomaly-detection methods to simulate cyberattack sequences. Multi-phase cyber-attacks have high-order interactions, concurrency, and unpredictable timing that traditional directed graph models cannot describe. To overcome this constraint, we…
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Artikel Jurnal
Blockchain and Quantum Machine Learning Approach for Securing Smart Water Management Systems: A Scoping Review
Smart water management systems (SWMS) increasingly rely on Internet of Things (IoT) devices to enhance water distribution, detect leaks, and support sustainable resource use, but this reliance also heightens exposure to cyberattacks, data manipulation, and privacy risks. Conventional security…
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Artikel Jurnal
From Text to Threat Detection: The Power of NLP in Cybersecurity
Natural Language Processing (NLP) is increasingly vital in cybersecurity, enabling the analysis of unstructured data from digital communications to enhance threat detection. This paper is specifically concerned with the changes made by applying natural language processing in conjunction with the…
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Artikel Jurnal
Development of Smart Video Surveillance Systems: Technical and Security Challenges in Urban Environments
Video surveillance schemes have become a critical tool for safeguarding urban and industrial services, thanks to the rapid advancement in object recognition, tracking, and human activity analysis technologies. The achievement of these systems relies on background analysis, motion detection, and…
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Artikel Jurnal
Securing Cloud Computing Environments: An Analysis of Multi-Tenancy Vulnerabilities and Countermeasures
The rise of cloud computing has brought significant advancements in scalability, flexibility, and cost-efficiency, with multi-tenancy emerging as a core feature that allows multiple tenants to share the same physical infrastructure. However, this shared environment introduces serious security…
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Artikel Jurnal
Improving IP Video Surveillance Systems: The Shift to Digital Networks and Security Challenges
In the numerical era, video surveillance schemes have fast evolved from analog technologies to IP-based systems, enabling widespread deployment in various environments such as streets, train stations, workplaces, factories, and homes. The incorporation of intelligent applications like facial…