Dr. Jan Henrik Ziegeldorf

Dr. Jan Henrik Ziegeldorf

WARNING: This information is likely out-of-date and will not be updated!

Last updated on 2018-10-02

Short CV

I received a Diploma (with honors) in Computer Science from RWTH Aachen University in 2011. From 2011 to 2012, I worked as a freelance Data Analyst for Zalando GmbH in Berlin focussing on data mining and machine learning. I started my PhD in 2012, working at Philips Research, Eindhoven, Netherlands for one and half years. In October 2013, I returned full time to RWTH Aachen University. I earned my PhD in March 2018 and have been working at the the Institute for Energy Efficient Buildings and Indoor Climate at the EON Energy Research Center at RWTH Aachen University first part-time then full-time since August 2017 and June 2018, respectively.

My research at COMSYS and dissertation focuses on the design of digital services with strong guarantees of data security and privacy based on cryptographic techniques such as secure multi-party computation, anonymization technologies (e.g., Differential Privacy) and other advanced (non-)cryptographic primitives.

I have served/am serving on the Technical Program Committee of

  • IEEE Blockchain 2019
  • IEEE International Conference on Blockchain and Cryptocurrency 2019
  • IEEE Blockchain 2018

I have served as a reviewer for

  • Journal of Applied Computing and Informatics (Elsevier, 2019)
  • Journal of Data and Information Quality (ACM, 2019)
  • Privacy Enhancing Technologies (PETs) Symposium (DeGruyter Open, 2019)
  • Journal of Network and Computer Applications (Elsevier, 2018)
  • Transactions on Sensor Networks (ACM, 2018)
  • Privacy Enhancing Technologies (PETs) Symposium (DeGruyter Open, 2018)
  • IET Information Security Journal (IET, 2018)
  • Internet of Things Journal (IEEE, 2017)
  • Security and Privacy in Cyber-Physical Systems: Foundations and Applications (Wiley, 2016)
  • International Journal of Information Security (Springer, 2015)

See also Google Scholar and DBLP.

Publications

Complying with Data Handling Requirements in Cloud Storage Systems. IEEE Transactions on Cloud Computing, vol. 10, no. 3. September 2022.
SHIELD: A Framework for Efficient and Secure Machine Learning Classification in Constrained Environments. Proceedings of the 34rd Annual Computer Security Applications Conference, San Juan, Puerto Rico, USA. December 2018.
Thwarting Unwanted Blockchain Content Insertion. Proceedings of the First IEEE Workshop on Blockchain Technologies and Applications (BTA), Apr 17 - Apr 20, 2018, Orlando, Florida, USA. April 2018.
Secure and anonymous decentralized Bitcoin mixing. Future Generation Computer Systems, vol. 80. March 2018.
A Quantitative Analysis of the Impact of Arbitrary Blockchain Content on Bitcoin. Proceedings of the 22nd International Conference on Financial Cryptography and Data Security (FC), Nieuwpoort, Curaçao. February 2018.
CloudAnalyzer: Uncovering the Cloud Usage of Mobile Apps. Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous ‘17), Nov 7 - Nov 10, 2017, Melbourne, VIC, Australia. November 2017.
Network Security and Privacy for Cyber-Physical Systems. Security and Privacy in Cyber-Physical Systems: Foundations, Principles and Applications. November 2017.
Privacy-preserving Comparison of Cloud Exposure Induced by Mobile Apps. Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous), Melbourne, Australia. November 2017.
BLOOM: BLoom filter based Oblivious Outsourced Matchings. BMC Medical Genomics, vol. 10, no. Suppl 2, Nov 11 - Nov 11, 2016, Chicago, IL, USA. July 2017.
Resource and Execution Control for Mobile Offloadee Devices. 14th IEEE International Conference on Sensing, Communication, and Networking (SECON 2017), Jun 12 - Jun 14, 2017, San Diego, CA, United States. June 2017.

Advised Theses

Performance Evaluation of Low-Overhead Messaging Protocols an Time Series Databases via a common Middlerware
Master's Thesis, RWTH Aachen University, September 2017
Advisors: Jan Henrik Ziegeldorf, Florian Stinner (EBC, EONERC)
Examiners: Klaus Wehrle, Dirk Müller (EBC, EONERC)
Privacy-Preserving Data Analysis on Distributed Datasets
Master's Thesis, RWTH Aachen University, April 2017
Examiners: Klaus Wehrle, Ulrike Meyer (IT-Sec)
Efficient and Secure Classification in the Two Party Setting
Master's Thesis, RWTH Aachen University, March 2017
Examiners: Klaus Wehrle, Walter Unger (i1)
A User-controlled Data Market for Privacy-preserving Data Analyses
Bachelor's Thesis, RWTH Aachen University, February 2017
Examiners: Klaus Wehrle, Bernhard Rumpe (i3)
Queries on Hidden Markov Models in the Secure Two-Party Setting
Master's Thesis, RWTH Aachen University, January 2017
Examiners: Klaus Wehrle, Ulrike Meyer (IT-Sec)