@inproceedings{c28dd4c1e16341b6bc57e84b2831b444,
title = "Shielding Smart Home IoT Devices against Adverse Effects of XSS using AI model",
abstract = "IoT is transforming the way of living through infiltrating into every domain comprising our home, society and human body. However, this embellishment of IoT brings multitude of security concerns such as cross site scripting (XSS) vulnerability that can cause severe damage to the victim. Thus, this paper is focused on defending the smart home IoT devices against the XSS attack. The proposed approach employs OS-ELM classifier to detect the XSS attack and then neutralizes the effects of the XSS attack vector to secure user's device. The experimental outcomes unveiled that our approach achieves the higher accuracy of 0.98 with low false positive rate.",
keywords = "AI classifier, IoT Networks, IoT security, Malicious attack vectors, OS-ELM model, Smart home, XSS attack",
author = "Pooja Chaudhary and Gupta, {B. B.} and Chui, {Kwok Tai} and Shingo Yamaguchi",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Consumer Electronics, ICCE 2021 ; Conference date: 10-01-2021 Through 12-01-2021",
year = "2021",
month = jan,
day = "10",
doi = "10.1109/ICCE50685.2021.9427591",
language = "English",
series = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",
booktitle = "2021 IEEE International Conference on Consumer Electronics, ICCE 2021",
}