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19 articles for “cybersecurity”
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Human Psychological Factors Affecting Software Engineering Discipline from Cybersecurity Prospective
Abstract: Research into information security has long been an established subfield within the broader academic communities of computer science, software engineering, and information and communications technology. Over the past few years, “cyber security” has largely supplanted the older phrase “information security”. Cyber security refers to the protection of data and computer networks.This paper aims to demonstrate that studies in behavioral sciences focusing on user behavior, in addition to studies in computer …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 7–15 Read article
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Intrusion Detection System Using Gated Recurrent Neural Network
Abstract: In the realm of cybersecurity, the constant evolution of threats demands sophisticated intrusion detection systems (IDSs) capable of discerning intricate patterns in network traffic. This study proposes an IDS leveraging the capabilities of gated recurrent neural networks (GRNNs) to enhance the detection of anomalies and potential security breaches. The GRNN architecture, employing mechanisms like long short-term memory (LSTM) and gated recurrent unit (GRU), demonstrates efficacy in capturing long-range dependencies within …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 1–8 Read article
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System Infringement Challenges in Smart Cities
Abstract: We can increase the urban service use, improve sustainability and minimize environmental harm so that the idea of green infrastructure aims to improve the living standard of the citizens. Cybersecurity is the key issue facing smart cities. To store, process and transmit data we can use data protection, as well as the software infrastructure, all topics covered by cybersecurity. Internet of things (IoT) and internet of everything (IoE) are used …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 7–12 Read article
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Securing Smart Electrical Systems through Comparative Analysis of Machine Learning Models for Classification
Abstract: In the realm of cybersecurity, the intersection of technology and security measures has spurred significant advancements, particularly in safeguarding electrical systems against cyber threats. This research delves into the evolving landscape of cybersecurity within electrical systems, leveraging machine learning techniques to mitigate challenges. By incorporating cybersecurity protocols with machine learning algorithms, this study demonstrates enhanced security measures tailored for electrical infrastructures, pivotal in ensuring efficiency and resilience. Through meticulous examination, …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Bot Defender: A Collaborative Defense Framework for Botnet Intrusion Mitigation
Abstract: Botnet attacks represent a significant threat to cybersecurity, compromising vast numbers of devices and causing extensive harm. BOT DEFENDER is a novel collaborative defense framework designed to mitigate botnet intrusions effectively. This framework leverages the power of collective intelligence, integrating data from multiple sources to detect and respond to botnet threats in real-time. By utilizing advanced machine learning algorithms, BOT DEFENDER can identify anomalous network behavior indicative of botnet activities, …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 6–11 Read article
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Hybrid Machine Learning Model for EfficientBotnet Attack Detection in IoT Environment
Abstract: The rapid advancement and widespread adoption of internet technologies have led to a surge in cyber-attacks, with botnet attacks emerging as particularly detrimental. Identifying botnet activities is increasingly challenging due to the diverse attack vectors and the evolving nature of malware. As the Internet of Things (IoT) continues to expand, network devices become more vulnerable to these sophisticated attacks, resulting in significant security breaches and financial losses. In order to …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 31–38 Read article
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Emergency Telecommunications: A Critical Necessity in Times of Crisis
Abstract: Emergency telecommunications play a crucial role in crisis management by enabling efficient coordination of rescue operations, ensuring the dissemination of critical information, and maintaining communication between authorities and the public. Whether during natural disasters, industrial accidents, or terrorist attacks, reliable communication systems are essential for an effective response. This paper examines the diverse functions of emergency telecommunications, emphasizing their significance, the technologies utilized, recent advancements, and the challenges that must …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
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Transforming Urban Landscapes: IoT Integration for Smart City Innovation
Abstract: Abstract: The Internet of Things (IoT)-powered idea of "smart cities" is changing urban environments and fundamentally altering how cities operate. An overview of the Internet of Things' revolutionary potential in relation to smart cities is given in this abstract. Smart Cities are urban settings that use data, digital technology, and Internet of Things (IoT)-connected devices to improve productivity, sustainability, and the general well-being of its residents. The Internet of Things …
Published in International Journal of Town Planning and Management · Vol. 10, Issue 1, 2024 · pp. 19–25 Read article
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CyberSentinel: A Proposed Hybrid AI Framework for Real-Time Cyber Threat Intelligence
Abstract: Modern cyberattacks have grown far more sophisticated, frequent, and fast-moving than the signature-based intrusion detection systems many organizations still rely on. This paper proposes CyberSentinel, a hybrid artificial intelligence framework for real-time cyber threat intelligence (CTI) that combines three complementary techniques into a single detection pipeline: a Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) module for network traffic anomaly detection, a Random Forest ensemble for structured log classification, and a transformer-based …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Cloud-Based IoT Monitoring System for Pump Canal Operations: A Case Study of Narayanpur Pump Canal, Mirzapur
Abstract: Abstract The technical paper presents a comprehensive analysis of the Internet of Things (IoT)-based cloud monitoring system deployed at the Narayanpur Pump Canal (NPC), Chunar, Mirzapur, Uttar Pradesh. The system, operationalized in September 2024, provides real-time remote monitoring of 15 critical parameters across 14 pump sets through cloud-based analytics, automated alerts, and intelligent dashboards. The paper evaluates the technical architecture, demonstrated operational benefits – including a documented case of preventing …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 · pp. 49–68 Read article
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Integration of CAD – CAM SYSTEM FOR NEXT – Generation smart manufacturing
Abstract: Abstract The emergence of Industry 4.0 has transformed traditional manufacturing by promoting automation, intelligence, and connectivity across production systems. Integrating Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) has become essential for achieving seamless data exchange, efficient product design, and precise manufacturing operations. This integration enables a unified digital workflow that connects design intent directly to machining processes, thereby reducing errors, improving productivity, and shortening product development cycles. Advanced technologies such …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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Cloud Security Using Machine Learning: A Study
Abstract: The rapid adoption of cloud computing has revolutionized IT infrastructure, offering unprecedented scalability, flexibility, and cost efficiency. However, this paradigm shift introduces a new spectrum of sophisticated security challenges that traditional, signature-based security mechanisms often struggle to address effectively given the dynamic, multi-tenant, and distributed nature of cloud environments. This paper explores the critical role of Machine Learning (ML) as a potent paradigm for strengthening cloud infrastructure. ML emerges as …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 21–30 Read article
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Fintech Innovations and Their Impact on Global Markets
Abstract: Financial technology (fintech) is revolutionizing the global financial sector by improving efficiency, inclusivity, and transparency. By integrating technology with financial services, fintech innovations, such as blockchain, artificial intelligence (AI), digital wallets, and peer-to-peer lending are challenging conventional systems. These advancements not only increase the accessibility of financial services for underserved communities but also provide unmatched convenience to consumers and businesses globally. Blockchain, one of the most significant innovations, has transformed …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 1, 2025 · pp. 1–5 Read article
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Advanced Encryption Framework for Secure Cloud Storage
Abstract: It is crucial to protect data in the current setting where the cloud has become a common home for storing information. This project provides a novel solution for generic file sharing and protection where data is stored in the AWS S3 system with the aid of cryptographic algorithms. In the development of the proposed system, AES and RSA modes of security are used to enhance security in the file uploading, …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 1, 2025 · pp. 1–11 Read article
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Decision Trees in Intrusion Detection: A Comparative Analysis of Machine Learning Techniques
Abstract: Recent malware sophistication poses immense challenges in intrusion detection systems, making it imperative to develop highly sophisticated methodologies for detection of fast-evolving cyber threats. Traditional IDS typically employs a signature-based detection approach and has limitations in identifying unknown and obfuscated attacks, particularly zero-day vulnerabilities. This paper discusses the existing limitations of IDS based on ML techniques to further improve the detection capability of such systems. Machine learning algorithms, particularly decision …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
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Decision Trees in Intrusion Detection: A Comparative Analysis of Machine Learning Techniques
Abstract: Recent malware sophistication poses immense challenges in intrusion detection systems, making it imperative to develop highly sophisticated methodologies for detection of fast-evolving cyber threats. Traditional IDS typically employs a signature-based detection approach and has limitations in identifying unknown and obfuscated attacks, particularly zero-day vulnerabilities. This paper discusses the existing limitations of IDS based on ML techniques to further improve the detection capability of such systems. Machine learning algorithms, particularly decision …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
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Optimizing Aircraft Navigation Control: An ExtensiveReview
Abstract: In the earlier world, the number of airplane uses and transportation through airlines were limited butnow the people are upgraded, and they choose the easiest way for transportation then naturally the airtraffic is also increased. Optimizing aircraft navigation control has become an important field ofresearch because of the quick advances in aviation technology and the growing desire for economicalair travel. A detailed overview of contemporary aircraft navigation optimization techniques,technologies, and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 32–36 Read article
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Network Intrusion Detection Using Wireshark and Machine Learning
Abstract: The growth of networked devices has highlighted the desire for advanced intrusion detection (IDS) tools to protect digital systems from evolving cyber threats. Traditional IDS systems are often difficult to adapt to the threat environment because they rely on predefined signature lists. This study presents a new approach that combines Wireshark, a widely used network packet analysis tool, with advanced machine learning for intrusion detection. Our system leverages Wireshark's data …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 23–31 Read article
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Improved Communication Security and Enhance Reliability Using Cryptography and Steganography
Abstract: Increased use of technologies and computers has profited humans in many ways but also have resulted in various security concerns. And these security concerns are breached onto the path over which the data is to be transferred. Sending normal messages over the Internet is no longer a secure method for data sharing. In this paper, we have determined how can we provide an encryptedmessage so that there will be no …
Published in International Journal of Digital Communication and Analog Signals · Vol. 9, Issue 1, 2023 · pp. 6–15 Read article