Karger’s Randomness of Graphs to Detect XSS Attacks on IoT Devices

Author:

Arul E.ORCID,Punidha A.ORCID

Publisher

Springer Singapore

Reference20 articles.

1. Zhang, T., Antunes, H., Aggarwal, S.: Defending connected vehicles against malware: challenges and a solution framework. IEEE Internet Things J. 1(1), 10–21 (2014)

2. Suo, X., Han, X., Gao, Y.: Research on the application of honeypot technology in intrusion detection system. In: IEEE Workshop on Advanced Research and Technology in Industry Applications (WARTIA) ON Ottawa, pp. 1030–1032 (2014)

3. Arul, E., Manikandan, V.: Malware detection using higher order statistical parameters. In: Communications in Computer and Information Science, vol. 679. Springer Singapore, pp 42–56. https://doi.org/https://doi.org/10.1007/978-981-10-3274-5_4

4. https://contagiodump.blogspot.in/2010/11/links-and-resourcesfor-malware-samples.html

5. Yin, M.P.P., Suzuki, S., Yoshioka, K., et al.: IoTPOT: analyzing the rise of IoT compromises. In: Usenix Conference on Offensive Technologies. USENIX Association, 9 (2015)

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