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177 articles for “cybersecurity”
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Artificial Intelligence in Cybersecurity: Emerging Trends, Technological Advancements, and Future Directions for Cyber Defense
Abstract: Artificial Intelligence (AI) is revolutionizing the field of cybersecurity by automating complex security tasks, improving threat detection capabilities, and enhancing the precision of threat response mechanisms. With the rapid evolution of cyber threats such as malware, ransomware, phishing, and data breaches, conventional security systems are often insufficient to provide timely and accurate protection. AI, powered by machine learning algorithms and neural networks, enables the analysis of vast datasets to detect …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 103–112 Read article
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AI-Based Cybersecurity Framework for Protecting Smart Surveillance Infrastructure in Mumbai
Abstract: Smart city infrastructures increasingly rely on interconnected surveillance systems to ensure safety, operational efficiency, and public trust. However, the rapid expansion of IoT-based monitoring technologies has introduced new cyber risks, especially in high-density metropolitan areas. This paper proposes an AI-driven cyber resilience framework targeting smart surveillance infrastructure as a critical smart-living domain, focusing on Mumbai as a case study. Using the CIC-IDS2017 dataset, a machine learning-based intrusion detection model is …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 Read article
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Design a Framework for Cybersecurity Using Steganography
Abstract: AbstractNowadays with the rapid increase in transmitting data’s through computers, securing these transmitted data is mandatory. The most common and desired technique used to secure these data is Cryptography. Cryptography consists of two steps, namely Encryption and Decryption. But they are not much safe compared to steganography. This study aims to design a framework for cyber security using steganography to increase the security level of data to be transmitted, using …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 6, Issue 1, 2019 · pp. 1–6 Read article
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Phishing Attack, Its Detections and Prevention Techniques
Abstract: The relentless surge of cyber threats represents a pressing challenge to global security and individual privacy. Among these, phishing attacks remain a particularly pernicious form of cybercrime. This study provides a comprehensive review of phishing attacks, their evolution, methodologies, impacts, and countermeasures. The methods of perpetrating phishing attacks have grown in sophistication, extending beyond the common email phishing to include spear phishing, whaling, clone phishing, vishing, smishing, and search engine …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 13–25 Read article
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Cybersecurity in a Digital World: Risks and Future Perspectives
Abstract: The field of information security offers a wide range of guidance in academic and practitioner literature. While various strategies such as deterrence, deception, detection, and reaction are explored, most research focuses on technological countermeasures to prevent security threats. This study presents the findings of a qualitative study conducted in Korea, examining how businesses utilize security techniques to safeguard their information systems. The results highlight a strong emphasis on preventive measures, …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 44–49 Read article
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AI for Cybersecurity: Deploying Machine Learning for Network Traffic Anomaly Detection
Abstract: The growing sophistication of cyberattacks and the growth of network traffic necessitate sophisticated anomaly detection methods. This study overviews the use of artificial intelligence (AI) and machine learning (ML) to counter these challenges, as noted in current studies. It analyses supervised learning (SVM, Decision Trees), unsupervised learning (K-means, DBSCAN), and deep learning (CNNs, RNNs, Auto-encoders) approaches, considering their strengths and weaknesses. The research integrates current developments in AI/ML-based network anomaly …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Adversarial Attacks on Machine Learning Models in Cybersecurity: A Systematic Literature Review
Abstract: Adversarial machine learning (AML) is a field that is growing swiftly, especially as machine learning models are employed more and more in places where security is critical. This review goes into great depth over 746 publications from the Scopus database, with an emphasis on the connection between AML and network security. Using Biblioshiny and Scopus tools, we looked at trends in publications, study fields, productive authors, collaboration networks, and theme …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 23–38 Read article
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Cyber Security of Critical Infrastructure
Abstract: This study provides a political analysis and evaluation of the benefits brought by critical security in cyberspace. It shows the limits of cybersecurity in national security, the use of artificial intelligence and investigative ethics to protect critical infrastructure. Previously investigated and discusses cybersecurity value conflicts and ethical issues in national security by analyzing data from data dating back to 2016. Along with this, it also includes a medical review of …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 2, 2023 · pp. 46–51 Read article
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Cyber Security Challenges in Developing Countries: A Special Reference to Afghanistan
Abstract: This review paper explores the widespread cybersecurity challenges encountered by developing countries, specifically concentrating on Afghanistan during the period from 2020 to 2024. The study highlights the significant gaps in cybersecurity capabilities, infrastructure, and regulatory frameworks that exacerbate the vulnerability of these nations to cyber threats. Key findings include the lack of basic legal frameworks for countering cybercrime, with only a minority of African states, and presumably other developing regions …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
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Gatividhi Guard: The Activity Guardian—Revolutionizing Security Information and Event Management (SIEM) Technology
Abstract: In the dynamic landscape of cybersecurity, organizations confront increasingly intricate cyber threats that necessitate sophisticated security measures. Conventional systems such as Security Information and Event Management (SIEM) systems face ongoing challenges, they often struggle to effectively detect and mitigate sophisticated attacks within extensive data sets. To address these limitations, the introduction of Gatividhi Guard signifies a paradigm shift in SIEM technology. Gatividhi Guard is an innovative SIEM platform leveraging advanced …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 1, 2024 · pp. 29–44 Read article
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Securing AI: A Survey Addressing Cyber Threats Arising in Cyber Security Due to Artificial Intelligence
Abstract: In today’s ever-evolving technological landscape, the integration of Artificial Intelligence (AI) across various industries underscores the critical need for a robust cybersecurity framework. This comprehensive survey delves into the pressing necessity of safeguarding AI systems against cyber threats. Recent incidents have highlighted the alarming susceptibility of AI to malicious attacks, showcasing the potential repercussions of compromised systems. These attacks range from data manipulation to privacy infringements, posing significant risks to …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 41–49 Read article
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The Evolution of Ransomware: In-Depth Analysis of Threat Development and Modern Defense Mechanisms
Abstract: Ransomware is the most severe of all cybersecurity threats the contemporary digital world is confronted with. It is a form of malware that encrypts a victim's information and requests ransom, usually in cryptocurrency, for its decryption. From its first appearance in the late 1980s, ransomware grew from simple malware into very advanced and targeted attacks that can be used to bring down entire organizations, businesses and critical infrastructure. This study …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 35–43 Read article
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Enhancing Explainability in Machine Learning Based Spam Email Detection Using LIME and SHAP
Abstract: Spam emails represent a continual and irritating cybersecurity issue due to the fast expansion of cyberspace communication. These messages are unwanted and, in some cases, dangerous, such as phishing schemes, identity theft, and the propagation of malware. They cause severe financial and data security threats to individuals and organizations. Conventional spam detection techniques, such as rule-based spamming, blacklisting, and keyword classification, are techniques that find it difficult to match adaptive …
Published in Journal Of Network security · Vol. 14, Issue 2, 2026 · pp. 35–48 Read article
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The Integration of AI Technologies in Automating Cyber Defense Mechanisms for Cloud Services
Abstract: The swift growth of cloud computing has transformed how organizations handle and store data, providing greater scalability and adaptability. However, the transition to cloud-based environments has heightened the complexity of cybersecurity challenges, especially in detecting and responding to security incidents. Conventional methods of incident response, which heavily depend on manual efforts, are no longer adequate to address the rapidly evolving and complex nature of modern cyber threats. This study explores …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 1–14 Read article
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Open-Source Software Empowering Artificial Intelligence, Machine Learning, and Cyber Security: A Comprehensive Research Study
Abstract: Open-source software (OSS) has become a foundational pillar for rapid innovation across artificial intelligence (AI), machine learning (ML), and cybersecurity. This paper delivers a comprehensive, journal-length analysis of OSS-driven ecosystems, emphasizing collaborative development, transparency, and accelerated deployment. By providing freely available libraries, tools, and frameworks, OSS makes it easier for developers and researchers to experiment, build models, and deploy solutions quickly. This study examines how OSS can be combined with …
Published in Journal of Open Source Developments · Vol. 13, Issue 1, 2026 · pp. 08–15 Read article
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Investigating Various Approaches and Ways to Detect Cybercrime
Abstract: Cyber security is one of the major concepts of cyber world which provides protection to the cyberspace from various sorts of cybercrimes. This research paper provides detailed information of cybersecurity. We conduct the survey of security of recent prominent researches and categorise the recent incidents in context to varied fundamental principles of cybersecurity. We have proposed a new taxonomy of cybercrime which can cover all types of cyberattacks. We have …
Published in Journal Of Network security · Vol. 9, Issue 2, 2021 · pp. 12–20 Read article
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Novel Perspectives in Quantum Safe Crypto algorithms for Enhanced Cyber Security
Abstract: This paper explores novel perspectives in quantum-safe cryptographic algorithms to bolster cybersecurity in the face of impending quantum computing advancements. Due to the efficient resolution of intricate mathematical problems by quantum computers, posing a substantial threat to existing cryptographic systems, there is a pressing requirement to create resilient alternatives. This study delves into innovative approaches, drawing from quantum-resistant cryptographic primitives, lattice-based cryptography, code-based cryptography, and hash-based cryptography. By examining the …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 2, 2023 · pp. 18–22 Read article
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Developing a Comprehensive Framework for User and Entity Behavior Analytics (UEBA): Integrating Advanced Machine Learning and Contextual Insights
Abstract: User and Entity Behavior Analytics (UEBA) has emerged as a crucial approach in modern cybersecurity for detecting and mitigating insider threats, compromised accounts, and other malicious activities within organizational networks. However, existing UEBA frameworks often face challenges in scalability, detection accuracy, and response effectiveness. This research work proposes a novel framework for UEBA that aims to address these limitations and enhance threat detection and response capabilities. The framework integrates advanced …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 20–32 Read article
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Detection of Phished URLs Using Machine Learning
Abstract: Phishing attacks remain a significant cybersecurity challenge, requiring innovative detection strategies. This study investigates the use of machine learning to detect phishing URLs, to improve the accuracy and reliability of detection systems. Utilizing a diverse dataset of legitimate and phishing URLs we extracted the features such as lexical properties, domain-specific details, and HTML content to train various machine learning models. Algorithms including Random Forest, support vector machine (SVM), and gradient …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 3, 2024 · pp. 1–7 Read article
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Securix: An Open-Source Security-based Linux Distribution for Novice Cyber Security Enthusiasts
Abstract: In the ever-evolving field of cybersecurity, the need for accessible and user-friendly tools in favor of beginner users has never been greater. The existing ethical hacking-related operating systems, while powerful, often overwhelm beginners with their complexity. The main objective of this project is to bridge the gap by providing an operating system for novice cyber enthusiasts looking to explore the world of ethical hacking and security. The proposed operating system …
Published in Journal of Open Source Developments · Vol. 11, Issue 3, 2024 · pp. 1–6 Read article