IP Traffic Generator Using Container Virtualization Technology

Fujdiak, Radek; Uher, Václav; Mlýnek, Petr; Blažek, Petr; Sláčik, Ján; Sedláček, Vladimír; Misurec, Jiri; Volkova, Marina; Chmelar, Petr

doi:10.1109/icumt.2018.8631248

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…), and active and passive attacks [22] [23]. The HTTP generator [24] was used to get 312,000 unique samples for training and testing models. Input data was generated from web server logs using either the HTTP GET method (as in the browser address bar) or the POST method used in forms.…”

Section: Data Acquisition and Preprocessingmentioning

confidence: 99%

Machine Learning Blunts the Needle of Advanced SQL Injections

Volkova

Chmelar

Sobotka

2019

mendel

Self Cite

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SQL injection is one of the most popular and serious information security threats. By exploiting database vulnerabilities, attackers may get access to sensitive data or enable compromised computers to conduct further network attacks. Our research is focused on applying machine learning approaches for identication of injection characteristics in the HTTP query string. We compare results from Rule-based Intrusion Detection System, Support Vector Machines, Multilayer Perceptron, Neural Network with Dropout layers, and Deep Sequential Models (Long Short-Term Memory, and Gated Recurrent Units) using multiple string analysis, bag-of-word techniques, and word embedding for query string vectorization. Results proved benets of applying machine learning approach for detection malicious pattern in HTTP query string.

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Section: Data Acquisition and Preprocessingmentioning

confidence: 99%

Machine Learning Blunts the Needle of Advanced SQL Injections

Volkova

Chmelar

Sobotka

2019

mendel

Self Cite

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“…A network traffic generator based on container virtualization technology has been proposed in Ref. [ 21 ] to emulate users’ web crawling behavior. In Ref.…”

Section: Introductionmentioning

confidence: 99%

Cloud-Based User Behavior Emulation Approach for Space-Ground Integrated Networks

Tao

Wang

Liu

et al. 2021

Sensors

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Cyber-physical systems (CPSs) based on space-ground integrated networks (SGINs) enable CPSs to break through geographical restrictions in space. Therefore, providing a test platform is necessary for new technical verification and network security strategy evaluations of SGINs. User behavior emulation technology can effectively support the construction of a test platform. Given the inherent dynamic changes, diverse behaviors, and large-scale characteristics of SGIN users, we propose user behavior emulation technology based on a cloud platform. First, the dynamic emulation architecture for user behavior for SGINs is designed. Then, normal user behavior emulation strategy driven by the group user behavior model in real time is proposed, which can improve the fidelity of emulation. Moreover, rogue user behavior emulation technology is adopted, based on traffic replay, to perform the security evaluation. Specifically, virtual Internet Protocol (IP) technology and the epoll model are effectively integrated in this investigation to resolve the contradiction between large-scale emulation and computational overhead. The experimental results demonstrate that the strategy meets the requirement of a diverse and high-fidelity dynamic user behavior emulation and reaches the emulation scale of 100,000-level concurrent communication for normal users and 100,000-level concurrent attacks for rogue users.

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