Shielding Smart Home IoT Devices against Adverse Effects of XSS using AI model

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 p...

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Bibliographic Details
Main Authors: Chaudhary, Pooja, Gupta, B. B., Chui, Kwok Tai, Yamaguchi, Shingo
Format: Conference Proceeding
Language:English
Subjects:
AI classifier
Cross-site scripting
Data models
IoT Networks
IoT security
Malicious attack vectors
OS-ELM model
Performance evaluation
Real-time systems
Security
Smart home
Smart homes
Training
XSS attack
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Summary: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.
ISSN:2158-4001
DOI:10.1109/ICCE50685.2021.9427591