Name
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. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICCE50685.2021.9427591 | 2021 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE) |
Keywords | DocType | Citations |
XSS attack, Smart home, IoT Networks, Malicious attack vectors, AI classifier, OS-ELM model, IoT security | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pooja Chaudhary | 1 | 27 | 4.54 |
| Brij B. Gupta | 2 | 9 | 2.18 |
| Kwok Tai Chui | 3 | 0 | 0.68 |
| Shingo Yamaguchi | 4 | 0 | 1.01 |