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P2 FISTS: A Field-based Security Testing Tool for Updates in Software-Defined Networks

FISTS:一种面向软件定义网络更新的基于字段的安全测试工具
FSE Proceedings of the 34th ACM International Conference on the Foundations of Software Engineering2026匹配度 1/10 · 该论文是 SDN 配置更新的黑盒安全测试工具,基于端口探测与异常检测算法,属于网络安全/软件测试领域;与用户关注的 PL→AI、AI→PL、静态分析、LLM/Agent、浮点程序分析及贝叶斯程序分析均无直接关联。引用 0 inbox
Jahanzaib Malik, Fabrizio Pastore
crossref: 2026-09-12dblp: 2026-09-12

AI 速览

一句话:提出黑盒安全测试工具 FISTS,通过探测主机端口状态变化并用异常检测优先排查隐患,检测 SDN 配置更新引入的漏洞。

论文关注软件定义网络(SDN)配置更新可能引入的安全漏洞。现有方法多为基于模型且与特定 SDN 系统耦合,难以适用于工业界常见的专有 SDN 框架。作者提出 FISTS,一种完全黑盒的安全测试工具:在 SDN 重配置前后探测网络中的主机,自动识别对应节点并判定其端口状态变化,再借助异常检测算法对主机数据进行优先级排序,从而在最大化发现漏洞的同时减少需检查的节点数,并避免连续误报带来的无效排查。作者在 300 个基于不同配置场景的新数据集上评估,结果显示 COF 与 HBOS 取得最佳效果(召回率最高达 0.99),KNN 召回率接近且执行时间最短;FISTS 能在检查不到 10% 监控数据的情况下检测出所有存在漏洞的主机。工具已开源并提供在线演示。

问题
SDN 配置更新可能引入安全漏洞,而已有测试方法依赖模型且与特定 SDN 平台耦合,无法用于专有框架。
方法
FISTS 采用黑盒方式在重配置前后探测主机,自动匹配节点并判定端口状态变化,再用异常检测算法对主机数据排序以优先排查可疑节点。
评估
在 300 个不同配置场景的数据集上评估,比较 COF、HBOS、KNN 等异常检测算法的召回率与执行时间,并测量发现全部漏洞主机所需的检查数据比例。
原文摘要(Abstract)

We present FISTS, a tool that enables security testing of configuration updates in software-defined networks (SDNs). In contrast to conventional approaches, which are model-based and coupled to a specific SDN system, FISTS is entirely black-box thus enabling testing of different platforms, which is necessary for most industries since they typically use proprietary SDN frameworks. FISTS works by probing the hosts on a network before and after an SDN reconfiguration, automatically identifying corresponding nodes, and determining their port state change; finally, it leverages anomaly detection algorithms to prioritize the inspection of hosts data. FISTS also enable engineers to minimize the number of inspected nodes while maximizing the vulnerabilities found by avoiding the inspection of consecutive false alarms. We have evaluated FISTS on 300 new and unique datasets based on distinct configuration scenarios; our results show that FISTS leads to best results (up to 0.99 recall) with COF and HBOS, but KNN leads to close recall and minimal execution time. Further, it enables detecting all vulnerable hosts by inspecting less than 10% of the monitored data. A demo of FISTS is available online at the following URL: https://youtu.be/UIMwFqAvAXg. The tool is available (open source) at: https://doi.org/10.5281/zenodo.18201382.

链接与引用

DOI 原文 · PDF(开放获取) · DBLP

BibTeX
@inproceedings{MalikP26,
  title = {FISTS: A Field-based Security Testing Tool for Updates in Software-Defined Networks},
  author = {Jahanzaib Malik and Fabrizio Pastore},
  booktitle = {FSE},
  year = {2026},
  doi = {10.1145/3803437.3806399}
}