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David Jaeger
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2010 – 2019
- 2019
- [c16]Chris Pelchen, David Jaeger, Feng Cheng, Christoph Meinel:
The (Persistent) Threat of Weak Passwords: Implementation of a Semi-automatic Password-Cracking Algorithm. ISPEC 2019: 464-475 - 2018
- [b1]David Jaeger:
Enabling Big Data security analytics for advanced network attack detection. University of Potsdam, Germany, 2018 - [j3]David Jaeger, Hendrik Graupner, Chris Pelchen, Feng Cheng, Christoph Meinel:
Fast Automated Processing and Evaluation of Identity Leaks. Int. J. Parallel Program. 46(2): 441-470 (2018) - [c15]David Jaeger, Feng Cheng, Christoph Meinel:
Accelerating Event Processing for Security Analytics on a Distributed In-Memory Platform. DASC/PiCom/DataCom/CyberSciTech 2018: 634-643 - 2017
- [j2]Andrey Sapegin, David Jaeger, Feng Cheng, Christoph Meinel:
Towards a system for complex analysis of security events in large-scale networks. Comput. Secur. 67: 16-34 (2017) - [j1]Andrey Sapegin, Marian Gawron, David Jaeger, Feng Cheng, Christoph Meinel:
Evaluation of in-memory storage engine for machine learning analysis of security events. Concurr. Comput. Pract. Exp. 29(2) (2017) - [c14]Martin Ussath, David Jaeger, Feng Cheng, Christoph Meinel:
Identifying Suspicious User Behavior with Neural Networks. CSCloud 2017: 255-263 - 2016
- [c13]Hendrik Graupner, David Jaeger, Feng Cheng, Christoph Meinel:
Automated parsing and interpretation of identity leaks. Conf. Computing Frontiers 2016: 127-134 - [c12]Martin Ussath, David Jaeger, Feng Cheng, Christoph Meinel:
Advanced persistent threats: Behind the scenes. CISS 2016: 181-186 - 2015
- [c11]David Jaeger, Martin Ussath, Feng Cheng, Christoph Meinel:
Multi-step Attack Pattern Detection on Normalized Event Logs. CSCloud 2015: 390-398 - [c10]David Jaeger, Andrey Sapegin, Martin Ussath, Feng Cheng, Christoph Meinel:
Parallel and distributed normalization of security events for instant attack analysis. IPCCC 2015: 1-8 - [c9]Andrey Sapegin, Marian Gawron, David Jaeger, Feng Cheng, Christoph Meinel:
High-Speed Security Analytics Powered by In-Memory Machine Learning Engine. ISPDC 2015: 74-81 - [c8]David Jaeger, Amir Azodi, Feng Cheng, Christoph Meinel:
Normalizing Security Events with a Hierarchical Knowledge Base. WISTP 2015: 237-248 - 2014
- [c7]Amir Azodi, David Jaeger, Feng Cheng, Christoph Meinel:
Runtime Updatable and Dynamic Event Processing Using Embedded ECMAScript Engines. ICITCS 2014: 1-4 - [c6]David Jaeger, Hendrik Graupner, Andrey Sapegin, Feng Cheng, Christoph Meinel:
Gathering and Analyzing Identity Leaks for Security Awareness. PASSWORDS 2014: 102-115 - 2013
- [c5]Andrey Sapegin, David Jaeger, Amir Azodi, Marian Gawron, Feng Cheng, Christoph Meinel:
Hierarchical object log format for normalisation of security events. IAS 2013: 25-30 - [c4]Amir Azodi, David Jaeger, Feng Cheng, Christoph Meinel:
Pushing the Limits in Event Normalisation to Improve Attack Detection in IDS/SIEM Systems. CBD 2013: 69-76 - [c3]Amir Azodi, David Jaeger, Feng Cheng, Christoph Meinel:
A New Approach to Building a Multi-tier Direct Access Knowledgebase for IDS/SIEM Systems. DASC 2013: 118-123 - [c2]Feng Cheng, Amir Azodi, David Jaeger, Christoph Meinel:
Multi-core Supported High Performance Security Analytics. DASC 2013: 621-626 - [c1]Feng Cheng, Amir Azodi, David Jaeger, Christoph Meinel:
Security Event Correlation Supported by Multi-Core Architecture. ICITCS 2013: 1-5
Coauthor Index
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