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Generating application layer IDS rules from cyber threat intelligence

机译：从网络威胁情报生成应用程序层IDS规则

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Tezin basılısı, İstanbul Şehir Üniversitesi Kütüphanesi'ndedir.

机译：论文的印刷版在伊斯坦布尔埃希尔大学图书馆中。

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Jabiyev Bahruz;
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年度 2016
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原文格式 PDF
正文语种 eng
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1. Special Issue on Big Data Applications in Cyber Security and Threat Intelligence – Part 1 [J] . Kim-Kwang Raymond Choo, Mauro Conti, Ali Dehghantanha Big Data, IEEE Transactions on . 2019,第3期

机译：网络安全和威胁情报中的大数据应用特刊–第1部分
2. Special Issue on Big Data Applications in Cyber Security and Threat Intelligence – Part 2 [J] . Kim-Kwang Raymond Choo, Mauro Conti, Ali Dehghantanha Big Data, IEEE Transactions on . 2019,第4期

机译：网络安全与威胁情报大数据应用的特刊 - 第2部分
3. Application Layer Intrusion Detection with Combination of Explicit-Rule-Based and Machine Learning Algorithms and Deployment in Cyber- Defence Program [J] . Amal Saha, Sugata Sanyal International Journal of Advanced Networking and Applications . 2014,第7014期

机译：结合基于显式规则和机器学习算法的应用层入侵检测以及在网络防御程序中的部署
4. Strategic Cyber Threat Intelligence Sharing: A Case Study of IDS Logs [C] . Spike E. Dog, Alex Tweed, LeRoy Rouse, International Conference on Computer Communication and Networks . 2016

机译：战略网络威胁情报共享：对IDS日志的案例研究
5. Demystifying Cyber Threat Intelligence Sharing Platforms: An Evaluation of Data Quality Issues and Their Effects on Cyber Attribution [D] . Nash, Alfredzo. 2021

机译：DemyStify Cyber威胁情报共享平台：评估数据质量问题及其对网络归属的影响
6. LOW RISK RULE: HIGH QI REWARD – APPLICATION OF THE LOW RISK ANKLE RULE (LRAR) IN THE SICKKIDS EMERGENCY DEPARTMENT [O] . D Jacobson 2017

机译：低风险规则：高QI奖励–低风险踝关节规则（LRAR）在急诊科中的应用
7. Formulation of Association Rule Mining (ARM) for an Effective Cyber Attack Attribution in Cyber Threat Intelligence (CTI) [O] . Md Sahrom Abu, Siti Rahayu, Robiah Yusof, 2021

机译：协会规则挖掘（ARM）用于网络威胁情报（CTI）的有效网络攻击归属

Generating application layer IDS rules from cyber threat intelligence

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