DDoS attack detection techniques in IoT networks: a survey
Amir Pakmehr, Andreas Aßmuth, Negar Taheri, Ali Ghaffari
Qazvin Islamic Azad University Ostbayerische Technische Hochschule Amberg-Weiden Islamic Azad University of Tabriz Khazar University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
The Internet of Things (IoT) is a rapidly emerging technology that has become more valuable and vital in our daily lives. This technology enables connection and communication between objects and devices and allows these objects to exchange information and perform intelligent operations with each other. However, due to the scale of the network, the heterogeneity of the network, the insecurity of many of these devices, and privacy protection, it faces several challenges. In the last decade, distributed DDoS attacks in IoT networks have become one of the growing challenges that require serious attention and investigation. DDoS attacks take advantage of the limited resources available on IoT devices, which disrupts the functionality of IoT-connected applications and services. This article comprehensively examines the effects of DDoS attacks in the context of the IoT, which cause significant harm to existing systems. Also, this paper investigates several solutions to identify and deal with this type of attack. Finally, this study suggests a broad line of research in the field of IoT security, dedicated to examining how to adapt to current challenges and predicting future trends.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
计算机 / AINetwork Security and Intrusion Detection
Internet of Things and AI · IoT and Edge/Fog Computing
参考文献 79
此处列出前 3 条
引用本文 77
按被引量排序,此处列出前 3 条