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Cybernetics and Information Technologies
Scopus
ISSN 1314-4081 · Sciendo · 764 articles in the index
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Journal Article
Automated Digital Filter Synthesis with Canonical Signed Digit via Genetic Algorithms
Finite Impulse Response (FIR) digital filters are widely used in signal processing to remove noise and extract frequency-domain features. Genetic Algorithms (GAs) have been employed to synthesize FIR filters by optimizing the coefficients in their transfer function. A notable approach is to evolve…
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Journal Article
Interpretable Region-Attribute Graph Matching Framework for Structure-Aware and Explainable Content-Based Image Retrieval
In recent years, Content-Based Image Retrieval (CBIR) has advanced significantly with Deep Learning (DL), yet most of the existing models rely on global descriptors and attention-based local features, which struggle to capture explicit structural relationships within images. These models often…
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Journal Article
PT-CPABKS – Secure Multi-User Keyword Search in Cloud Using Policy-Tiered CP-ABE with Optimized Indexing
Cloud computing faces several challenges in balancing data confidentiality with efficient retrieval and fine-grained access control. Conventional searchable encryption models enable keyword search but lack fine-grained access control, whereas traditional model-based solutions enforce policies at…
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Journal Article
A Scalable Framework for Developing Viable Ontology-Centric Systems
The paper addresses the question of creating long-living software systems. One of the possible challenging comprehensive solutions for this might be to provide a viable framework which supports their complete life-cycle. The concept and architecture of a scalable framework for creating and…
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Journal Article
Segmentation-Driven Morphology-Guided Attention Mechanism for Rhegmatogenous Retinal Detachment Classification
Rhegmatogenous Retinal Detachment (RRD) is a vision-threatening condition that requires accurate classification to prevent vision loss. The existing Deep Learning (DL) models for RRD primarily rely on generic feature extraction from fundus images and often overlook subtle morphological variations…
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Journal Article
Evaluating the Impact of Hyperparameters Using U-Net Networks with Transfer-Learning for Cerebellum Segmentation from Ultrasound Scans
The cerebellum is an essential part of the human brain, responsible for motor learning, balance, and coordination. Therefore, cerebellar growth in the fetal brain is identified by its shape on ultrasound images. To overcome the limitations of the current clinical process, several computerized…
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Journal Article
Hybrid Image Encryption Scheme Using SPECK Block Cipher and Salsa20-Based DNA-Enhanced Key Generation
This paper presents a new hybrid image encryption algorithm, which combines the SPECK block cipher with a Salsa20-based key generation process. Although these factors have been integrated in the past, what is unique about our work is that DNA encoding and transformation are applied only to the key…
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Journal Article
A Multi-Layered Defense AES-GCM and Dragonfly-ECC Based Protocol for Mitigating Spoofing Attacks in DNS Systems
Domain Name System (DNS) is the way that Internet domain names are located and translated into IP addresses. The security architecture of the original design suffers from a lack of strength, as it was designed without built-in security. Among the most pervasive threats is DNS spoofing, in which…
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Journal Article
Construction of the Principle of Adaptive Position-Trajectory Control of Moving Objects (On the Example of a Multi-Link Industrial Robot Manipulator)
This article presents the principle of adaptive position-trajectory control for moving objects, illustrated using a multi-link industrial robot manipulator. The principle is described through several stages derived from its main control objectives. A SCARA robot with adaptive position-trajectory…
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Journal Article
An Explainable Deep Learning Approach for Distinguishing Cyber Attacks and Sensor Faults in Critical IoT Systems
The increasing rate of cyber-attacks in critical Internet of Things (IoT) systems requires robust and interpretable detection systems. In this paper, an interpretable deep learning approach has been introduced to detect various types of cyber-attacks and distinguish them from sensor faults. The…
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Journal Article
Malware Classification Using Dynamic Cluster Adaptive Aggregation Graph Neural Network with Prototypical Loss Function
Malware classification is the process of categorizing malicious software into specific families based on its structural and behavioral features. However, malware classification remains challenging due to high code similarity across different families, leading to suboptimal performance. To address…
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Journal Article
Topology Aware Evaluation of SDN Controller Performance and Placement Strategies in Star, Linear, and Ring Networks
Software-defined networking allows centralized and flexible control of a network, but its performance largely depends on the controller and its location in the network. The current work presents an experimental study of the Software-Defined Networking (SDN) controller performance considering…
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Journal Article
A Semantic-Aware File Metadata Generation Framework for Disk-Level Anomaly Detection in Virtual Machine Backups
The fast growth of Virtual Machine (VM) backup systems in cloud and enterprise environments has greatly led to exposures to disk-level anomalies brought about by ransomware and malicious data corruption. The currently used anomaly detectors are mainly content-based scanning or coarse-grained…
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Journal Article
Privacy-Preserving Federated Learning with Galois Automorphism-Driven Linear Transformation with Brakerski-Fan-Vercauteren for Medical Data
Healthcare data is frequently fragmented over diverse organizations because of its extremely complex and confidential nature. However, the existing Federated Learning (FL) approach through a central server creates various challenges within healthcare, such as privacy vulnerabilities and regulatory…
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Journal Article
Cross-Dataset DDoS Intrusion Detection Using Hybrid Welch-Point-Biserial Feature Selection and DenseMLP
Distributed Denial-of-Service (DDoS) attacks are one of the major threats in the cybersecurity domain. Lightweight feature selection is vital for improving DDoS attack detection efficiency and computational efficiency by selecting the most relevant features. Recently, numerous machine learning and…
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Journal Article
A Chaotic-Initiated Discrete Optimization Framework for Cryptographically Strong AES S-Box Generation
Advanced Encryption Standard (AES) security relies on the Substitution box (S-Box), which provides nonlinearity and confusion. Because this algebraic form is fixed, the cipher can be attacked with algebraic and structural cryptanalysis. To address this shortcoming, we proposed generating…
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Journal Article
Supercomputer HEMUS: Benchmark Results and Performance Optimization
Supercomputers and advanced High-Performance Computing (HPC) systems are needed to address large scientific problems, AI models training or industrial/engineering tasks. One of the important steps during the installation, configuration and tuning stages, is to perform comprehensive benchmarking and…
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Journal Article
AI Integration in the Public Sector: A Systematic Review of Risks and Opportunities
The development of Artificial Intelligence (AI) and e-Government is a paradigm shift in the administration of the people. Although it supports optimization of service delivery, various challenges are also brought to the fore. This scoping review examines the challenges, threats, and regulations…
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Journal Article
PAPR Reduction in MIMO-OFDM Using Refracted Opposition-Based Archerfish Hunting Optimization Algorithm
The combination of the Multiple-Input Multiple-Output technique with Orthogonal Frequency Division Multiplexing (OFDM) is a widely used technique to improve Quality of Service (QoS) in wireless communication. However, a high Peak-to-Average Power Ratio (PAPR) in OFDM leads to signal distortion when…
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Journal Article
Trustworthy Deepfake Detection: Explainable LIME Method of ViT and CNN Architectures
The rapid evolution of generative artificial intelligence has enabled the creation of highly realistic deepfake facial imagery, supporting innovative applications in filmmaking and digital media while simultaneously amplifying risks related to misinformation and public safety. As a result, deepfake…