Anomaly-Based Intrusion Detection Systems in IoT Using Deep Learning: A Systematic Literature Review

Research output: Contribution to journal › Article › peer-review

191 Citations (SciVal)

Original language	English
Journal	Applied Sciences (Switzerland)
Volume	11
Issue number	18
Publication status	Published (VoR) - 9 Sept 2021

Keywords

systematic literature review; anomaly intrusion detection; deep learning; IoT; resource constraint; IDS

@article{9dcabca458344e63a96a4db1e13e926f,

title = "Anomaly-Based Intrusion Detection Systems in IoT Using Deep Learning: A Systematic Literature Review",

keywords = "systematic literature review; anomaly intrusion detection; deep learning; IoT; resource constraint; IDS",

author = "Muaadh Alsoufi and Shukor Razak and \{Md Siraj\}, Maheyzah and Ibtehal Nafea and Fuad Ghaleb and Faisal Saeed and Maged Nasser",

year = "2021",

month = sep,

day = "9",

language = "English",

volume = "11",

journal = "Applied Sciences (Switzerland)",

issn = "2076-3417",

publisher = "MDPI",

number = "18",

}

TY - JOUR

T1 - Anomaly-Based Intrusion Detection Systems in IoT Using Deep Learning: A Systematic Literature Review

AU - Alsoufi, Muaadh

AU - Razak, Shukor

AU - Md Siraj, Maheyzah

AU - Nafea, Ibtehal

AU - Ghaleb, Fuad

AU - Saeed, Faisal

AU - Nasser, Maged

PY - 2021/9/9

Y1 - 2021/9/9

KW - systematic literature review; anomaly intrusion detection; deep learning; IoT; resource constraint; IDS

M3 - Article

SN - 2076-3417

VL - 11

JO - Applied Sciences (Switzerland)

JF - Applied Sciences (Switzerland)

IS - 18

ER -