SAD-IoT: Security Analysis of DDoS Attacks in IoT Networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-021-08890-6.pdf
Reference24 articles.
1. Balaji, S., Nathani, K., & Santhakumar, R. (2019). IoT technology, applications and challenges: A contemporary survey. Wireless Personal Communications, 108(1), 363–388.
2. Tweneboah-Koduah, S., Skouby, K. E., & Tadayoni, R. (2017). Cyber security threats to IoT applications and service domains. Wireless Personal Communications, 95(1), 169–185.
3. Harbi, Y., Aliouat, Z., Harous, S., Bentaleb, A., & Refoufi, A. (2019). A review of security in internet of things. Wireless Personal Communications, 108(1), 325–344.
4. Verma, A., & Ranga, V. (2020). Machine learning based intrusion detection systems for IoT applications. Wireless Personal Communications, 111(4), 2287–2310.
5. Koroniotis, N., Moustafa, N., Sitnikova, E., & Turnbull, B. (2019). Towards the development of realistic botnet dataset in the internet of things for network forensic analytics: Bot-iot dataset. Future Generation Computer Systems, 100, 779–796.
Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Optimized Duplicate Address Detection for the Prevention of Denial-of-Service Attacks in IPv6 Network;IETE Journal of Research;2024-05-16
2. AI techniques for IoT-based DDoS attack detection: Taxonomies, comprehensive review and research challenges;Computer Science Review;2024-05
3. Survey and classification of Dos and DDos attack detection and validation approaches for IoT environments;Internet of Things;2024-04
4. IoT-Based Intrusion Detection System Using New Hybrid Deep Learning Algorithm;Electronics;2024-03-12
5. An effective networks intrusion detection approach based on hybrid Harris Hawks and multi-layer perceptron;Egyptian Informatics Journal;2024-03
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3