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10 articles for “distributed-denial-of-service attack”
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A General Understanding using Facts, Case Studies, and a Survey on Distributed Denial-of-Service Attacks
Abstract: Distributed denial-of-service (DDoS) attack is a type of malware. The history of DDoS attacks is disputatious. There are three forms of DDoS attacks—volume-based, application-based, and protocol-based, and nine types of attacks have been discussed. With possible potential motivations and procedures for carrying out DDoS attacks, some facts have been discussed to show the intensity of danger from DDoS attacks. Case studies prove that even having high security on your system …
Published in Journal Of Network security · Vol. 9, Issue 2, 2021 · pp. 1–11 Read article
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An Experimental Approach of Machine Learning Algorithms to Detect Botnet DDoS Attacks
Abstract: Botnets are one of the threats in a network to hamper the quality of the network by disrupting theresources of the network. These Botnets can be controlled remotely by Botmaster. The Machine Learning Algorithms play a major role to detect and control the Botnets that cause to DDoS attacks, malwares and phishing attacks that are vulnerable to network resources. The DDoS attacks are most dangerous malware events that disrupt whole …
Published in Journal Of Network security · Vol. 10, Issue 3, 2022 · pp. 7–14 Read article
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DDoS Attack Detection And Prevention
Abstract: Distributed Denial of Service (DDoS) attacks are huge scope helpful attacks propelled from an enormous number of traded off hosts called Zombies, is a significant danger to Internet administrations. Famous sites, for example, Yahoo, CNN, and Amazon, are among the notable casualties of DDoS attacks. Large number of companies transacting online are mainly facing the considerable loss as they are being targeted to DDoS attacks. DDoS attack works to shut …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 8, Issue 2, 2020 · pp. 7–14 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
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An in-Depth Analysis of Cyber Security: Vulnerabilities, Threat Landscapes, Attack Mechanisms, and Defense Solutions
Abstract: In a highly digitalized world today, cyber security has taken over as a necessary component to safeguarding the modern world technology. With the increase in the dependency on the digital platform and online services, the threat of cyber threats has also risen. Such threats are not confined to mere attacks anymore, as they have taken a new form of complexity and magnitude to impact individuals, businesses, government institutions among others. …
Published in Journal Of Network security · Vol. 14, Issue 2, 2026 Read article
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Real-time DDoS Attack Prediction in SDN Environments Using Machine Learning
Abstract: The ever-growing reliance on sdn-based services necessitates robust security measures against Distributed Denial-of-Service (DDoS) attacks that threaten service availability. This project investigates the development of a real-time prediction system for DDoS attacks in sdn environments, leveraging the power of machine learning. The proposed system employs a Decision Tree classification algorithm implemented in Python. To ensure accurate attack identification, the system meticulously addresses data preprocessing challenges inherent in network traffic datasets. …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 16–27 Read article
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Cybersecurity of AI and IoT Integrated for Mechanical Industries
Abstract: By facilitating the concept of Industry 4.0, the intersection of artificial intelligence (AI) and the Internet of Things (IoT) has changed the mechanical industries. When combined, these technologies are advancing process optimization, predictive maintenance, real-time condition monitoring, and smarter automation. In order to give proactive system control and intelligent decision-making, AI algorithms mine large datasets generated via IoT devices for relevant patterns. In the meanwhile, IoT guarantees smooth communication between …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 27–33 Read article
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Study of Cyber Security Challenges and Their Impact
Abstract: In the contemporary digital landscape, the internet has become an indispensable tool for daily activities, encompassing email communication, financial transactions, shopping, reservations, data sharing, and access to information. This interconnected realm, often termed cyberspace, defines our modern era, characterized by the pervasive presence of the Internet of Things (IoT), facilitating ubiquitous data exchange and communication. However, this interconnectedness also exposes vulnerabilities, leading to cybersecurity concerns. The transfer of information traverses …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 1, 2024 · pp. 7–12 Read article
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Enhancing IoT Network Security with Hybrid Deep Learning Classifiers for DDoS Attack Detection
Abstract: The security and operational dependability of Internet of Things (IoT) networks are seriously threatened by the growing susceptibility to Distributed Denial of Service (DDoS) assaults brought about by their rapid expansion. The intricacy and dynamic character of these advanced attacks can provide a challenge to conventional intrusion detection systems. This study presents a novel method for strengthening IoT network security by combining Convolutional Neural Networks (CNNs) and Long Short-Term Memory …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 1, 2026 · pp. 23–33 Read article
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Securing The Internet of Things: Threats, Safeguards, and Future Directions
Abstract: The Internet of Things (IoT) brings immense value while also presenting cybersecurity challenges due to its scale, distribution, and heterogeneity. This study conducts an in-depth analysis of IoT security issues, threats, vulnerabilities, and mitigation strategies through an extensive review of scholarly literature and real-world case studies. A multilayered security approach is proposed, encompassing device hardening, network monitoring, encryption, access controls, governance frameworks, and emerging technologies. The analysis underscores systemic IoT …
Published in Journal Of Network security · Vol. 11, Issue 2, 2023 · pp. 26–31 Read article