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Cyber Security and Applications
Scopus
ISSN 2772-9184 · KeAi Communications Co., Ltd. · 73 artikel di indeks
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Artikel Jurnal
UNSW-IoTSAT: A hybrid testbed-derived dataset for enabling cybersecurity research in the smart satellite domain
Satellite communications are rapidly evolving into the Internet of Things (IoT) era, driven by the rise of CubeSats and lightweight platforms that enable faster deployment cycles, reduced launch costs, and the integration of diverse, often unregulated payloads. As these smart satellite systems…
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Artikel Jurnal
When semantic plausibility becomes a liability: LLM-based phishing detection from an adversarial asymmetry perspective
With the rise of generative AI, a new generation of intelligent phishing has emerged, where attackers leverage Large Language Models (LLMs) to craft websites with high semantic plausibility, posing critical challenges to traditional defenses. Although existing LLM-powered detection approaches…
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Artikel Jurnal
PASTAD: A Context-Aware Threat Modeling Methodology for Unmanned Aerial Systems
Unmanned Aerial Systems (UAS) have emerged as a transformative technology across multiple domains, including military, logistics, agriculture, and topography. However, limited attention to security during system design, combined with evolving threats and expanding attack surfaces, continues to…
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Artikel Jurnal
MedicalFuzzySec: A novel steganography technique using fuzzy logic to secure electronic patient data (EPD) concealment in medical images
Medical diagnostic systems generate sensitive patient information that requires optimal protection during transmission and storage. Image steganography provides a secure method for embedding secret data, making it imperceptible to the naked eye as part of the original image. However, applying…
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Artikel Jurnal
CyVHealth: Intelligent cybersecurity architecture for secure virtual medical consultation
With the growth of virtual treatment platforms and digital mental health services, it is now more important than ever to protect sensitive user data and maintain confidentiality. However, these networks have become increasingly vulnerable to online threats such as unauthorised access, data theft…
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Artikel Jurnal
Identifying influential nodes in complex networks based on ASP theory and centrality criteria
From social and technological to biological, complex networks are found in a lot of domains. Inherently, such systems possess dynamic and intricate characteristics. One of the core problems in network study is the detection of influential nodes that decisively play a major role in the structure and…
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Artikel Jurnal
Explainable AI and machine learning for robust cybersecurity in smart cities
An emerging application of such new technologies is in urban development, with cities increasingly utilizing them to address social, environmental, and urban issues. IoT has paved the way for Smart Cities, while AI-fueled big data has revolutionized progressive urbanization. However, initiatives to…
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Artikel Jurnal
Enhancing security in IIoT: RFID authentication protocol for edge computing and blockchain-enabled supply chain
This paper addresses security challenges, especially in the authentication mechanism of Industrial Internet of Things (IIoT)-enabled supply chain systems by proposing an enhanced Radio Frequency Identification (RFID) authentication protocol. The current system faces significant security risks due…
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Artikel Jurnal
Cyber intrusion detection using ensemble of deep learning with prediction scoring based optimized feature sets for IOT networks
Detecting intrusions in Internet of Things (IoT) networks is critical for maintaining cybersecurity. Traditional Intrusion Detection Systems (IDS) often face challenges in identifying unknown attacks and tend to have high false positive rates. To address these issues, we propose the Ensemble of…
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Artikel Jurnal
An ensemble learning framework for enhanced anomaly and failure detection in IoT systems
The rapid proliferation of Internet of Things (IoT) devices has revolutionized modern connectivity but also introduced significant cybersecurity challenges due to heterogeneous architectures, resource limitations, and expanding attack surfaces. In this study, we propose a flexible ensemble-based…
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Artikel Jurnal
Autonomous identity-based threat segmentation for zero trust architecture
Zero Trust Architecture (ZTA) fundamentally redefine network security by adopting a ''trust nothing, verify everything'' approach requiring identity verification for all access. However, conventional access controls are static and fail to consider evolving user activities and contextual threats…
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Artikel Jurnal
Lyric-based passwords: Enhancing security and recall with AI
In the digital age, text-based passwords remain the cornerstone of user authentication. However, the balance between security and memorability remains a significant challenge. Users often face a dilemma between creating complex passwords that are difficult to remember and simpler ones that are…
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Artikel Jurnal
A novel approach based on XGBoost classifier and Bayesian optimization for credit card fraud detection
Nowadays, detecting fraudulent transactions has become increasingly important due to the rise of online businesses and the increasing use of sophisticated techniques by fraudsters to make fraudulent transactions appear similar to genuine ones. Researchers have explored a lot of machine learning…
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Artikel Jurnal
A comprehensive literature review on ransomware detection using deep learning
The manifold rise in ransomware attacks noted highest in 2023 posing a serious trepidation for cyber professionals to be active watchdogs of the early detection techniques. Ransomware is a type of malware often used to encrypt the confidential user files and network and demanding a hefty ransome to…
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Artikel Jurnal
Survey of deep learning approaches for securing industrial control systems: A comparative analysis
In an era where critical infrastructure (CI) underpins our daily lives spanning electric and thermal plants, water treatment facilities, and essential health and transportation systems, robust security has never been more urgent. The fourth industrial revolution has broadened the attack surface…
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Artikel Jurnal
Leveraging federated learning for DoS attack detection in IoT networks based on ensemble feature selection and deep learning models
The Internet of Things (IoT) seamlessly integrates into daily life, enhancing decision-making and simplifying everyday tasks across various domains, including organizations, healthcare, the military, and industry. However, IoT systems face numerous security threats, making data protection against…
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Artikel Jurnal
Bankruptcy forecasting in enterprises and its security using hybrid deep learning models
In current scenario when economic and risk management sectors need accurate predictions of enterprise bankruptcy, it is very importance issue to research in the field of security of enterprise bankruptcy. In this context, we propose an hybrid deep learning model through the use of convolutional…
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Artikel Jurnal
Sysmon event logs for machine learning-based malware detection
Malware poses a significant threat to modern computing environments, necessitating advanced detection techniques that can adapt to evolving attack methods. This study focuses on dynamic malware analysis using machine learning models to process detailed data from Sysmon Event Logs, a crucial sources…
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Artikel Jurnal
CNN Based Deep Learning Modeling with Explainability Analysis for Detecting Fraudulent Blockchain Transactions
In the era of growing cryptocurrency adoption, Blockchain has emerged as a leading player in the digital payment landscape. However, this widespread popularity also brings forth various security challenges, including the need to safeguard against fraudulent activities. One of the paramount…
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Artikel Jurnal
Advancements in secure quantum communication and robust key distribution techniques for cybersecurity applications
Quantum communication is a rapidly evolving field that leverages quantum physics to enable secure and efficient information exchange. A cornerstone of quantum cryptography is Quantum Key Distribution (QKD), a secure key exchange mechanism that ensures the confidentiality of transmitted data by…