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ORCIDMichael Meier 0001
Person information
- affiliation: University of Bonn, Institute of Computer Science
- affiliation: Dortmund University of Technology, Department of Computer Science
- affiliation: Brandenburg University of Technology, Computer Science Department
Other persons with the same name
- Michael Meier — disambiguation page
- Michael Meier 0002
![[0000-0002-8443-7618]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8443-7618")
— University of Freiburg, Department of Computer Science - Michael Meier 0003 — vasp Datatecture GmbH, Switzerland
- Michael Meier 0004 — IBM Scientific Center, Palo Alto, CA, USA
- Michael Meier 0005 — University of Paderborn
- Michael Meier 0006 — University of Erlangen-Nuremberg, Erlangen Regional Computing Center
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2020 – today
- 2023
[c44]Daniel Vogel, Markus Krämer, Ben Swierzy, Daniel Meyer, Michael Meier:
On the Feasibility of Detecting Non-Cooperative Wi-Fi Devices via a Single Wi-Fi-Router. IPIN-WiP 2023- [c43]Ben Swierzy, Markus Krämer, Daniel Vogel, Daniel Meyer, Michael Meier:
Analyzing the Feasibility of Privacy-Respecting Automated Tracking of Devices Fleeing a Burglary. WiMob 2023: 452-459 - 2022
- [c42]Marc Ohm, Felix Boes, Christian Bungartz, Michael Meier:
On the Feasibility of Supervised Machine Learning for the Detection of Malicious Software Packages. ARES 2022: 127:1-127:10 - 2021
- [j7]Jakob Greis, Artem Yushchenko, Daniel Vogel, Michael Meier, Volker Steinhage:
Automated identification of vulnerable devices in networks using traffic data and deep learning. Int. J. Inf. Priv. Secur. Integr. 5(1): 1-17 (2021) - [i7]Jakob Greis, Artem Yushchenko, Daniel Vogel, Michael Meier, Volker Steinhage:
Automated Identification of Vulnerable Devices in Networks using Traffic Data and Deep Learning. CoRR abs/2102.08199 (2021) - 2020
- [c41]Marc Ohm, Arnold Sykosch, Michael Meier:
Towards detection of software supply chain attacks by forensic artifacts. ARES 2020: 65:1-65:6 - [c40]Daniel Vogel, Ulugbek Akhmedjanov, Marc Ohm, Michael Meier:
An investigation on the feasibility of the bluetooth frequency hopping mechanism for the use as a covert channel technique. ARES 2020: 70:1-70:10 - [c39]Arnold Sykosch, Christian Doll, Matthias Wübbeling, Michael Meier:
Generalizing the phishing principle: analyzing user behavior in response to controlled stimuli for IT security awareness assessment. ARES 2020: 88:1-88:10 - [c38]Marc Ohm, Henrik Plate, Arnold Sykosch, Michael Meier:
Backstabber's Knife Collection: A Review of Open Source Software Supply Chain Attacks. DIMVA 2020: 23-43 - [c37]Saffija Kasem-Madani, Timo Malderle, Felix Boes, Michael Meier:
Privacy-Preserving Warning Management for an Identity Leakage Warning Network. EICC 2020: 4:1-4:6 - [c36]Timo Malderle, Sven Knauer, Martin Lang, Matthias Wübbeling, Michael Meier:
Track Down Identity Leaks using Threat Intelligence. ICISSP 2020: 96-106 - [c35]Timo Malderle, Felix Boes, Gina Muuss, Matthias Wübbeling, Michael Meier:
Credential Intelligence Agency: A Threat Intelligence Approach to Mitigate Identity Theft. ICISSP (Revised Selected Papers) 2020: 115-138 - [c34]Patrick Düssel, Shoufu Luo, Ulrich Flegel, Sven Dietrich, Michael Meier:
Tracing Privilege Misuse Through Behavioral Anomaly Detection in Geometric Spaces. SADFE 2020: 22-31 - [c33]Saffija Kasem-Madani, Michael Meier:
Utility Requirement Description for Utility-Preserving and Privacy-Respecting Data Pseudonymization. TrustBus 2020: 171-185 - [i6]Marc Ohm, Henrik Plate, Arnold Sykosch, Michael Meier:
Backstabber's Knife Collection: A Review of Open Source Software Supply Chain Attacks. CoRR abs/2005.09535 (2020) - [i5]Marc Ohm, Lukas Kempf, Felix Boes, Michael Meier:
If You've Seen One, You've Seen Them All: Leveraging AST Clustering Using MCL to Mimic Expertise to Detect Software Supply Chain Attacks. CoRR abs/2011.02235 (2020)
2010 – 2019
- 2019
- [c32]Christian Doll, Arnold Sykosch, Marc Ohm, Michael Meier:
Automated Pattern Inference Based on Repeatedly Observed Malware Artifacts. ARES 2019: 82:1-82:10 - 2018
- [c31]Arnold Sykosch, Marc Ohm, Michael Meier:
Hunting Observable Objects for Indication of Compromise. ARES 2018: 59:1-59:8 - [c30]Timo Malderle, Matthias Wübbeling, Sven Knauer, Arnold Sykosch, Michael Meier:
Gathering and analyzing identity leaks for a proactive warning of affected users. CF 2018: 208-211 - [c29]Timo Malderle, Matthias Wübbeling, Sven Knauer, Michael Meier:
Ein Werkzeug zur automatisierten Analyse von Identitätsdaten-Leaks. Sicherheit 2018: 43-54 - [c28]Timo Malderle, Matthias Wübbeling, Sven Knauer, Michael Meier:
Warning of Affected Users About an Identity Leak. SoCPaR 2018: 278-287 - [e5]Hanno Langweg, Michael Meier, Bernhard C. Witt, Delphine Reinhardt:
Sicherheit 2018, Beiträge der 9. Jahrestagung des Fachbereichs Sicherheit der Gesellschaft für Informatik e.V. (GI), 25.-27.4.2018, Konstanz. LNI P-281, Gesellschaft für Informatik e.V. 2018, ISBN 978-3-88579-675-6 [contents] - 2017
- [j6]Patrick Düssel, Christian Gehl, Ulrich Flegel, Sven Dietrich, Michael Meier:
Detecting zero-day attacks using context-aware anomaly detection at the application-layer. Int. J. Inf. Sec. 16(5): 475-490 (2017) - [c27]Saffija Kasem-Madani, Michael Meier, Martin Wehner:
Towards a Toolkit for Utility and Privacy-Preserving Transformation of Semi-structured Data Using Data Pseudonymization. DPM/CBT@ESORICS 2017: 163-179 - [c26]Matthias Wübbeling, Michael Meier:
Reclaim Your Prefix: Mitigation of Prefix Hijacking Using IPsec Tunnels. LCN 2017: 330-338 - [e4]Michalis Polychronakis, Michael Meier:
Detection of Intrusions and Malware, and Vulnerability Assessment - 14th International Conference, DIMVA 2017, Bonn, Germany, July 6-7, 2017, Proceedings. Lecture Notes in Computer Science 10327, Springer 2017, ISBN 978-3-319-60875-4 [contents] - 2016
- [j5]Jaspreet Kaur, Steffen Wendzel, Omar Eissa, Jernej Tonejc, Michael Meier:
Covert channel-internal control protocols: attacks and defense. Secur. Commun. Networks 9(15): 2986-2997 (2016) - [c25]Matthias Wübbeling, Michael Meier:
Improved Calculation of aS Resilience against IP Prefix Hijacking. LCN Workshops 2016: 121-128 - [e3]Michael Meier, Delphine Reinhardt, Steffen Wendzel:
Sicherheit 2016: Sicherheit, Schutz und Zuverlässigkeit, Beiträge der 8. Jahrestagung des Fachbereichs Sicherheit der Gesellschaft für Informatik e.V. (GI), 5.-7. April 2016, Bonn. LNI P-256, GI 2016, ISBN 978-3-88579-650-3 [contents] - 2015
- [c24]Jaspreet Kaur, Steffen Wendzel, Michael Meier:
Countermeasures for Covert Channel-Internal Control Protocols. ARES 2015: 422-428 - [c23]Christoph Pohl, Alf Zugenmaier, Michael Meier, Hans-Joachim Hof:
B.Hive: A Zero Configuration Forms Honeypot for Productive Web Applications. SEC 2015: 267-280 - [c22]Jaspreet Kaur, Jernej Tonejc, Steffen Wendzel, Michael Meier:
Securing BACnet's Pitfalls. SEC 2015: 616-629 - [i4]Christoph Pohl, Michael Meier, Hans-Joachim Hof:
Apate - A Linux Kernel Module for High Interaction Honeypots. CoRR abs/1507.03117 (2015) - [i3]Saffija Kasem-Madani, Michael Meier:
Security and Privacy Policy Languages: A Survey, Categorization and Gap Identification. CoRR abs/1512.00201 (2015) - 2014
- [c21]Matthias Wübbeling, Till Elsner, Michael Meier:
Inter-AS routing anomalies: Improved detection and classification. CyCon 2014: 223-238 - [c20]Steffen Wendzel, Wojciech Mazurczyk, Luca Caviglione, Michael Meier:
Hidden and Uncontrolled - On the Emergence of Network Steganographic Threats. ISSE 2014: 123-133 - [c19]Viviane Zwanger, Elmar Gerhards-Padilla, Michael Meier:
Codescanner: Detecting (Hidden) x86/x64 code in arbitrary files. MALWARE 2014: 118-127 - [c18]Steffen Wendzel, Viviane Zwanger, Michael Meier, Sebastian Szlósarczyk:
Envisioning Smart Building Botnets. Sicherheit 2014: 319-329 - [c17]Sebastian Szlósarczyk, Steffen Wendzel, Jaspreet Kaur, Michael Meier, Frank Schubert:
Towards Suppressing Attacks on and Improving Resilience of Building Automation Systems - an Approach Exemplified Using BACnet. Sicherheit 2014: 407-418 - [i2]Steffen Wendzel, Wojciech Mazurczyk, Luca Caviglione, Michael Meier:
Hidden and Uncontrolled - On the Emergence of Network Steganographic Threats. CoRR abs/1407.2029 (2014) - 2012
- [j4]Ulrich Flegel, Michael Meier:
Modeling and Describing Misuse Scenarios Using Signature-Nets and Event Description Language. it Inf. Technol. 54(2): 71-81 (2012) - [j3]Martin Apel, Michael Meier:
Generalizing Behavioral Signatures for Detecting Unknown Malware Variants and Early Warning. Prax. Inf.verarb. Kommun. 35(1): 17-24 (2012) - [e2]Nils Aschenbruck, Peter Martini, Michael Meier, Jens Tölle:
Future Security - 7th Security Research Conference, Future Security 2012, Bonn, Germany, September 4-6, 2012. Proceedings. Communications in Computer and Information Science 318, Springer 2012, ISBN 978-3-642-33160-2 [contents] - 2010
- [c16]Armin Büscher, Michael Meier, Ralf Benzmüller:
Throwing a MonkeyWrench into Web Attackers Plans. Communications and Multimedia Security 2010: 28-39 - [c15]Ulrich Flegel, Johannes Hoffmann, Michael Meier:
Cooperation enablement for centralistic early warning systems. SAC 2010: 2001-2008
2000 – 2009
- 2009
- [c14]Martin Apel, Joachim Biskup, Ulrich Flegel, Michael Meier:
Towards Early Warning Systems - Challenges, Technologies and Architecture. CRITIS 2009: 151-164 - [c13]Christian Bockermann, Martin Apel, Michael Meier:
Learning SQL for Database Intrusion Detection Using Context-Sensitive Modelling (Extended Abstract). DIMVA 2009: 196-205 - [c12]Martin Apel, Christian Bockermann, Michael Meier:
Measuring similarity of malware behavior. LCN 2009: 891-898 - [c11]Christian Bockermann, Martin Apel, Michael Meier:
Learning SQL for Database Intrusion Detection using Context-Sensitive Modelling. LWA 2009: KDML:17-21 - 2008
- [c10]Sebastian Schmerl, Hartmut König, Ulrich Flegel, Michael Meier, René Rietz:
Systematic Signature Engineering by Re-use of Snort Signatures. ACSAC 2008: 23-32 - [i1]Joachim Biskup, Bernhard M. Hämmerli, Michael Meier, Sebastian Schmerl, Jens Tölle, Michael Vogel:
08102 Working Group -- Early Warning Systems. Network Attack Detection and Defense 2008 - 2007
- [b1]Michael Meier:
Intrusion detection effektiv! - Modellierung und Analyse von Angriffsmustern. Brandenburg University of Technology, 2007, ISBN 978-3-540-48251-2, pp. 1-209 - [c9]Michael Meier, Ulrich Flegel, Sebastian Schmerl:
Efficiency Issues of Rete-Based Expert Systems for Misuse Detection. ACSAC 2007: 151-160 - [c8]Ulrich Flegel, Michael Meier:
Authorization Architectures for Privacy-Respecting Surveillance. EuroPKI 2007: 1-17 - 2006
- [c7]Sebastian Schmerl, Hartmut König, Ulrich Flegel, Michael Meier:
Simplifying Signature Engineering by Reuse. ETRICS 2006: 436-450 - [c6]Sebastian Schmerl, Ulrich Flegel, Michael Meier:
Vereinfachung der Signaturentwicklung durch Wiederverwendung. Sicherheit 2006: 201-212 - 2005
- [c5]Michael Meier, Sebastian Schmerl, Hartmut König:
Improving the Efficiency of Misuse Detection. DIMVA 2005: 188-205 - [c4]Michael Meier, Sebastian Schmerl:
Effiziente Analyseverfahren für Intrusion-Detection-Systeme. Sicherheit 2005: 209-220 - 2004
- [j2]Michael Meier, Ulrich Flegel, Hartmut König:
Reactive Security - Intrusion Detection, Honeypots, and Vulnerability Assessment. Prax. Inf.verarb. Kommun. 27(4): 186-187 (2004) - [c3]Michael Meier:
A Model for the Semantics of Attack Signatures in Misuse Detection Systems. ISC 2004: 158-169 - [e1]Ulrich Flegel, Michael Meier:
Detection of Intrusions and Malware & Vulnerability Assessment, GI SIG SIDAR Workshop, DIMVA 2004, Dortmund, Germany, July 6.7, 2004, Proceedings. LNI P-46, GI 2004, ISBN 3-88579-375-X [contents] - 2003
- [c2]Thomas Holz, Michael Meier, Hartmut König:
High-Efficient Intrusion Detection Infrastructure. DFN-Arbeitstagung über Kommunikationsnetze 2003: 217-232 - 2002
- [j1]Thomas Holz, Michael Meier, Hartmut König:
Bausteine für effiziente Intrusion-Detection-Systeme. Prax. Inf.verarb. Kommun. 25(3): 144-157 (2002) - [c1]Michael Meier, Niels Bischof, Thomas Holz:
SHEDEL-A Simple Hierarchical Event Description Language for Specifying Attack Signatures. SEC 2002: 559-572
Coauthor Index
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