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https://dspace.iiti.ac.in/handle/123456789/11641
Title: | XSSMitigate: Deep Packet Inspection based XSS Attack Quarantine in Software Defined Networks |
Authors: | Hubballi, Neminath Singh, Yogendra Garg, Dipin |
Keywords: | Packet networks;Packet switching;Software defined networking;Application layer attack;Application layers;Cross site scripting;Deep packet inspection;Financial data;Financial security;Software-defined networks;User privileges;WEB application;Web applications;Application programs |
Issue Date: | 2023 |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Citation: | Hubballi, N., Singh, Y., & Garg, D. (2023). XSSMitigate: Deep packet inspection based XSS attack quarantine in software defined networks. Paper presented at the Digest of Technical Papers - IEEE International Conference on Consumer Electronics, , 2023-January doi:10.1109/ICCE56470.2023.10043374 Retrieved from www.scopus.com |
Abstract: | Web applications are used by millions everyday for day-to-day activities. These applications deal with personal and financial data and security of these applications becomes important. Cross-Site Scripting (XSS) is a type of attack which target web applications. These attacks can escalate user privileges and can provide access to unauthorized data compromising users' privacy. In this paper, we present a technique to detect and mitigate the XSS attacks in Software Defined Networks (SDN). Our method has two phases as detection and mitigation. For detecting the attack, we use deep packet inspection on network packets collected at a switch placed in front of web server. Once the attack is detected we block the source of attack by installing appropriate rules at the switch through controller. We experiment within a lab setup and also with real world traces to validate the attack detection. Through simulations we show the feasibility of blocking the attack source for quarantine. © 2023 IEEE. |
URI: | https://doi.org/10.1109/ICCE56470.2023.10043374 https://dspace.iiti.ac.in/handle/123456789/11641 |
ISSN: | 0747668X |
Type of Material: | Conference Paper |
Appears in Collections: | Department of Computer Science and Engineering |
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