A lightweight supervised intrusion detection mechanism for IoT networks

被引：0
|
作者：
Roy, Souradip [1 ]
Li, Juan [1 ]
Choi, Bong-Jin [2 ]
Bai, Yan [3 ]
机构：
[1] Department of Computer Science, North Dakota State University, United States
[2] Department of Statistics, North Dakota State University, United States
[3] School Engineering and Technology, University of Washington Tacoma, United States
来源：
Future Generation Computer Systems | 2022年 / 127卷
基金：
美国国家科学基金会;
关键词：
Detection mechanism - Internet of thing network - Intrusion detection models - Intrusion-Detection - Optimisations - Resource Constraint - Security - Security breaches - Security vulnerabilities - Specific protocol;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
下载
收藏
页码：276 / 285
相关论文
共 50 条
  • [31] Hybrid Architecture for Intrusion Prevention and Detection in IoT Networks
    da Mata, Rafael Z. A.
    de Caldas Filho, Francisco L.
    Mendonca, Fabio L. L.
    Fares, Awatef A. Y. R.
    de Sousa Jr, Rafael T.
    2021 WORKSHOP ON COMMUNICATION NETWORKS AND POWER SYSTEMS (WCNPS), 2021,
  • [32] Real Time Intrusion Detection System For IoT Networks
    Hattarki, Rhishabh
    Houji, Shruti
    Dhage, Manisha
    2021 6TH INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT), 2021,
  • [33] Planet Optimization with Deep Convolutional Neural Network for Lightweight Intrusion Detection in Resource-Constrained IoT Networks
    Alissa, Khalid A.
    Alrayes, Fatma S.
    Tarmissi, Khaled
    Yafoz, Ayman
    Alsini, Raed
    Alghushairy, Omar
    Othman, Mahmoud
    Motwakel, Abdelwahed
    APPLIED SCIENCES-BASEL, 2022, 12 (17):
  • [34] Attention-Based Interpretable Semi-Supervised Federated Learning for Intrusion Detection in IoT Wireless Networks
    Thai Vu Nguyen
    Le, Long Bao
    IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOM, 2023, : 6832 - 6837
  • [35] Lightweight Security for IoT Systems leveraging Moving Target Defense and Intrusion Detection
    Van-Tien Nguyen
    Navas, Renzo E.
    Doyen, Guillaume
    PROCEEDINGS OF 2024 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM, NOMS 2024, 2024,
  • [36] IoT-PRIDS: Leveraging packet representations for intrusion detection in IoT networks
    Zohourian, Alireza
    Dadkhah, Sajjad
    Molyneaux, Heather
    Neto, Euclides Carlos Pinto
    Ghorbani, Ali A.
    COMPUTERS & SECURITY, 2024, 146
  • [37] A lightweight IoT intrusion detection model based on improved BERT-of-Theseus
    Wang, Zhendong
    Li, Jingfei
    Yang, Shuxin
    Luo, Xiao
    Li, Dahai
    Mahmoodi, Soroosh
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 238
  • [38] A lightweight intrusion detection method for IoT based on deep learning and dynamic quantization
    Wang, Zhendong
    Chen, Hui
    Yang, Shuxin
    Luo, Xiao
    Li, Dahai
    Wang, Junling
    PEERJ COMPUTER SCIENCE, 2023, 9
  • [39] Cross-Layer Federated Learning for Lightweight IoT Intrusion Detection Systems
    Hajj, Suzan
    Azar, Joseph
    Abdo, Jacques Bou
    Demerjian, Jacques
    Guyeux, Christophe
    Makhoul, Abdallah
    Ginhac, Dominique
    SENSORS, 2023, 23 (16)
  • [40] A Sink Node Assisted Lightweight Intrusion Detection Mechanism for WBAN
    Hou, Xuyang
    Wang, Jingjing
    Jiang, Chunxiao
    Guan, Sanghai
    Ren, Yong
    2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2018,
12345