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On the fine-grained fingerprinting threat to software-defined networks.

, , , , , and . Future Gener. Comput. Syst., (2020)

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Detecting Node.js prototype pollution vulnerabilities via object lookup analysis., , , and . ESEC/SIGSOFT FSE, page 268-279. ACM, (2021)On the fine-grained fingerprinting threat to software-defined networks., , , , , and . Future Gener. Comput. Syst., (2020)Mining Node.js Vulnerabilities via Object Dependence Graph and Query., , , and . USENIX Security Symposium, page 143-160. USENIX Association, (2022)A survey on internet of things security from data perspectives., , and . Comput. Networks, (2019)An Approach to Recommendation of Verbosity Log Levels Based on Logging Intention., , , , , and . ICSME, page 125-134. IEEE, (2019)A Survey on Digital Forensics in Internet of Things., , , and . IEEE Internet of Things Journal, 7 (1): 1-15 (2020)Towards Better Security Decisions: Applying Prospect Theory to Cybersecurity., , , , , and . CHI Extended Abstracts, ACM, (2019)DTGuard: A Lightweight Defence Mechanism Against a New DoS Attack on SDN., , , , and . ICICS, volume 11999 of Lecture Notes in Computer Science, page 503-520. Springer, (2019)Gender differences in online auctions., and . Electron. Commer. Res. Appl., (2016)Market structure and quality uncertainty: a theoretical framework for online auction research., and . Electron. Mark., 20 (1): 21-32 (2010)