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386 results for “Attack”
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Research ArticleOpen accessEvery word in the titleINTRUSION DETECTION IN MOBILE AD HOC NETWORK USING SECURE ROUTING FOR ATTACKER IDENTIFICATION PROTOCOLS. Gopalakrishnan, P. GaneshkumarIn past few decades, the migration of communication takes place from wired networks to wireless networks because of its mobility and scalability and Mobile Ad hoc Network (MANET) is a unique and significant application in recent years which does not necessitates any pre-existing network infrastructure. Each node can act as both transmitters as well as receivers that are communicating with … …American Journal of Applied Sciences, Vol. 11, Issue 8 · 29 May 2014 · 6,715 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDETECTION OF FLOOD ATTACKS IN DTN USING RATE LIMITER TECHNIQUEC. Balamurugan, M. Viswanathan, T. Abhishek Kumar, G. S. RajFlood attacks means a network becomes so weighed down with packets, caused by the attackers. It prevents packets being sent/received between the nodes in the network. There are many methods adopted to prevent flood attacks in other networks, but none has been installed successfully for DTN’s. Disruption tolerant network is a network, developed in such a manner that intermittent communication … …Journal of Computer Science, Vol. 10, Issue 7 · 19 Feb 2014 · 6,980 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Approach for Detecting Attacks in Mobile Adhoc NetworksV. Madhu Viswanatham, A. A. ChariThe security of data becomes more important with the increased use of commercial applications over wireless network environments. We presented an approach to handle various attacks for wireless networks. There were several problems of security in wireless networks due to intruders and different type of attacks such as Node Isolation, Route Disruption and Resource Consumption. There were better methods and … …Journal of Computer Science, Vol. 4, Issue 3 · 31 Mar 2008 · 6,924 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Challenge of the Hospitals and Health Care Systems in Preparation for Biological and Chemical Terrorism AttackEldo Ermenegildo Frezza MDIn the present study a few aspects of planning for terrorism events that expose large numbers of people to contamination are discussed. Many issues were considered as an absolute requirement for implementation of NBC response: 1) policy, 2) plan and 3) emergency department response to surge capacity. Key elements of the healthcare facility response plan include prompt recognition of the … …Journal of Social Sciences, Vol. 1, Issue 1 · 31 Mar 2005 · 7,390 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Deep Ensemble Framework for DDoS Attack Recognition and Mitigation in Cloud SDN EnvironmentS. Annie Christila, R. SivakumarMuch research has been done in the recent past on the absolute shift of Internet infrastructure in order to make it more significantly programmable, configurable and make it more conveniently feasible. Software Defined Networking (SDN) forms the basis for this absolute shift in Internet infrastructure. When you look at the benefits of an SDN-based cloud environment they are monumental. Namely, … …Journal of Computer Science, Vol. 20, Issue 10 · 5 Aug 2024 · 5,337 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDDoS Attack Detection Using Enhanced Neural Network Algorithm in Software-Defined NetworksHema Surendrakumar Dhadhal, Paresh P KotakWith the uncommon advancement of technology and networking, the world today is totally relying on it. The most obvious drawback of this technical progress resulted in several possible dangers. A Distributed Denial of Service (DDoS) attack is one in which a large number of compromised systems work together to prevent service from being provided to the targeted system. Consequently, to … …Journal of Computer Science, Vol. 19, Issue 6 · 24 May 2023 · 5,721 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMachine Learning-Based Technique to Detect SQL Injection AttackMuhammad Amirulluqman Azman, Mohd Fadzli Marhusin, Rossilawati SulaimanLack of secure codes implemented in the web apps will lead to cyber-attack because of vulnerabilities. The statistic shows that highest record on the data theft related cyber-attacks are through the SQL injection technique. Hence, an effective SQL injection detection is needed in any web system to combat this threat. In this research, machine learning technique is used where training … …Journal of Computer Science, Vol. 17, Issue 3 · 27 Mar 2021 · 8,535 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleAI-Based Techniques for DDoS Attack Detection in WSN: A Systematic Literature ReviewMohammed Al-Naeem, Mohammed Ashikur Rahman, Adamu AbuBakar Ibrahim, M.M. Hafizur RahmanWireless Sensor Networks (WSNs) are currently being used in various industries such as healthcare, engineering, the environment and so on. Security is a significant issue for WSN due to its infrastructure and limited physical security. Distributed Denial of Service (DDoS) is one of the most vulnerable attacks that can be defined as attacks launched from multiple ends into a set … …Journal of Computer Science, Vol. 16, Issue 6 · 29 Jun 2020 · 8,375 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Optimized Multi-Layer Perceptron Framework for Detecting and Classifying IoT AttacksSanchit Vashisht, Shalli RaniThe Internet of Things (IoT) is revolutionizing industries by connecting billions of smart devices, enabling automation and information exchange. The expansion of IoT ecosystems has simultaneously increased the surface area for cyberattacks. These environments are particularly vulnerable to a wide range of threats, such as Distributed Denial-of-Service (DDoS), poisoning, brute-force SSH intrusions, and various network reconnaissance techniques. The dynamic nature … …Journal of Computer Science, Vol. 21, Issue 12 · 11 Feb 2026 · 1,333 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEnhancing the CIC IoT Dataset 2023 for Improved Attack Detection through GANs Augmentation and Federated LearningShahad Alahmari, Noura AleisaThe escalating frequency and sophistication of cyber-attacks on Internet of Things (IoT) devices present a pressing challenge to cybersecurity. With IoT device connections projected to exceed 42 billion by 2025, the vulnerability of these devices to cyber-attacks has never been more evident. This paper investigates the integration of Machine Learning (ML) and data augmentation, specifically Generative Adversarial Networks (GAN) and … …Journal of Computer Science, Vol. 21, Issue 7 · 18 Jul 2025 · 9,111 accessesView PDFCite