Lightweight, Low-Rate Denial-of-Service Attack Prevention and Control Program for IoT Devices

被引:1
|
作者
Wu, Chi-Che [1 ]
Wang, Wei Yang [2 ]
Cheng, Rung-Shiang [3 ]
机构
[1] Natl Kaohsiung Univ Appl Sci, Dept Elect Engn, Kaohsiung, Taiwan
[2] Natl Kaohsiung Univ Appl Sci, Dept Informat Management, Kaohsiung, Taiwan
[3] Kun Shan Univ, Dept Comp & Commun, Tainan, Taiwan
来源
关键词
HTTP/2; Denial-of-service attacks; Low-rate denial-of-service attacks; Information security;
D O I
10.1007/978-3-030-00410-1_29
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
As information technology has become more advanced, the Internet of things (IoT) has evolved from being a mere concept to becoming a part of everyday life. IoT-based home appliance applications have matured, and numerous relevant software programs have been made commercially available. Therefore, IoT-created security issues have become an issue that must be addressed. Although DoS attacks are one of the most commonly used methods by hackers to attack target hosts, most mainframe computers are equipped with excellent DoS attack prevention and control programs. Nevertheless, most IoT devices do not have high computing power and are thus prone to DoS attacks. Therefore, this study examined the feasibility of using a lightweight, low-rate DoS attack prevention and control program in IoT devices with low computing power. The objective is to enable these devices to prevent and control DoS attacks.
引用
收藏
页码:243 / 247
页数:5
相关论文
共 50 条
  • [21] Low-rate Denial of Service attack detection method based on time-frequency characteristics
    Fu, Yu
    Duan, Xueyuan
    Wang, Kun
    Li, Bin
    JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS, 2022, 11 (01):
  • [22] Low-rate Denial of Service attack detection method based on time-frequency characteristics
    Yu Fu
    Xueyuan Duan
    Kun Wang
    Bin Li
    Journal of Cloud Computing, 11
  • [23] Detection of Denial-of-Service Attack in Wireless Sensor Networks: A Lightweight Machine Learning Approach
    Elsadig, Muawia A.
    IEEE ACCESS, 2023, 11 : 83537 - 83552
  • [24] Event-Triggered Control for Switched Systems With Denial-of-Service Attack
    Zhao, Rui
    Zuo, Zhiqiang
    Wang, Yijing
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2022, 67 (08) : 4077 - 4090
  • [25] Survey on research and progress of low-rate denial of service attacks
    Yang, J.-H. (yang@cernet.edu.cn), 1600, Chinese Academy of Sciences (25):
  • [26] Control Channel Denial-of-Service Attack in SDN-Based Networks
    Sriskandarajah, Shriparen
    McKague, Matthew
    Foo, Ernest
    Ragel, Roshan G.
    Karunarathna, Suneth Namal
    Jadidi, Zahra
    MERCON 2020: 6TH INTERNATIONAL MULTIDISCIPLINARY MORATUWA ENGINEERING RESEARCH CONFERENCE (MERCON), 2020, : 325 - 330
  • [27] On a novel pattern of distributed low-rate denial of service attacks
    Liu, Xiao-Ming
    Cheng, Gong
    Zhang, Miao
    Luo, Shou-Shan
    Journal of China Universities of Posts and Telecommunications, 2011, 18 (SUPPL.2): : 113 - 118
  • [28] Is low-rate distributed denial of service a great threat to the Internet?
    Chen, Ming
    Chen, Jing
    Wei, Xianglin
    Chen, Bing
    IET INFORMATION SECURITY, 2021, 15 (05) : 351 - 363
  • [29] A Proof of Concept Denial of Service Attack Against Bluetooth IoT Devices
    Ditton, Shane
    Tekeoglu, Ali
    Bekiroglu, Korkut
    Srinivasan, Seshadhri
    2020 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS), 2020,
  • [30] SWARD: A Secure WAke-up RaDio against Denial-of-Service on IoT devices
    Montoya, Maxime
    Bacles-Min, Simone
    Molnos, Anca
    Fournier, Jacques J. A.
    WISEC'18: PROCEEDINGS OF THE 11TH ACM CONFERENCE ON SECURITY & PRIVACY IN WIRELESS AND MOBILE NETWORKS, 2018, : 190 - 195