Max Maass
Contact
E-mail:mmaass(a-t)seemoo.tu-darmstadt.de
Telephone:+49 6151 16-25478
Fax:+49 6151 16-25471
Office:S2|20 218
Address:
Secure Mobile Networking Lab
Department of Computer Science
Technische Universität Darmstadt
CYSEC, TU Darmstadt
Pankratiusstraße 2 (S2|20)
D-64289 Darmstadt
Research Interests
- Privacy, Transparency and their interplay
- Privacy in the Web
- Privacy Law and its application
Open Theses
Currently no items available.
Ongoing Theses
3 items found. Show all theses.
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2019/10/15
Communicating Privacy and Security issues
Bachelor Thesis
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2019/09/24
Detecting Extension Abuse in the Wild
Master Thesis
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2019/04/30
PrivacyGraph - A Holistic View of the Online Tracking Ecosystem
Bachelor Thesis
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Supervised Theses
11 items found. Show all theses.
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2020/01/30
Applicability of IoT Security Frameworks as Guidelines for Penetration Testing
Master Thesis
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2019/05/02
PrivacyMail - Analyzing the Email Tracking Ecosystem
Master Thesis
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2019/04/26
Applicability of Penetration Testing Guides for the Internet of Things
Master Thesis
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2019/02/14
Inferring Keystrokes from Myo Armband Electromyographic and Inertial Measurement Unit Data
Master Thesis
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2018/08/13
Testing the Efficacy of Vulnerability Disclosure over different Channels
Bachelor Thesis
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2018/05/22
Analyzing and Evaluating Interface, Communication, and Web Security in Productive IoT Systems
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2018/05/15
Performance Comparision of Packet Schemes for Mutually Hidden Messages
Bachelor Thesis
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2018/04/18
Analyzing Vulnerability and Privacy Data from the PrivacyScore platform
Master Thesis
Every day new cyber security vulnerabilities are discovered and reported, which indicate weak security standards adapted by websites. The main aim of a hacker is to steal sensitive information by exploiting these vulnerabilities. The information and data compromised can be very costly and damaging for an
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2018/04/12
Privacy als Wettbewerbsfaktor? Analyse der Reaktionen von Unternehmen auf Privacy-Score-Bewertungen
Master Thesis
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2017/09/30
OAuth 2.0 for IoT: IPsec channel establishment and authorized resource access in the IoT
Master Thesis
To secure the Internet of Things (IoT) while keeping its interoperability with today’s Internet is crucial to unleash the full potential of the IoT. Authentication and Authorization are fundamental guarantees to enable further security and operational challenges. To fulfill these guarantees in complex and diverse scenarios, we
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2017/01/09
Design, Implementation and Evaluation of Realistic Scenarios and Movement Models for Natural Disasters Using Simulations for Delay Tolerant Networks
Master Thesis
Seeing the continuous increase in natural disasters around the world, many people are contemplating how to contribute helping those in need. Among them are several computer scientists who fulfil their share by developing technology which enables fast and reliable communication in disaster areas. We were inspired by their work and thus wanted to further improve the state-of-the-art. DTN is a specific technology which can be used for the creation of alternative networks in disaster areas, where conventional ones are unavailable due to the inevitable destructions implied by the disaster. Given that such technology is usually evaluated within network simulators we exclusively focus on improving the state-of-the-art of movement models and scenarios utilized within such simulators. The very random driven, and thus not realistic, state-of-the-art is improved by our contribution in the form of a fully designed, implemented, and evaluated realistic natural disaster movement model with underlying scenarios. The results of our evaluation indicate that previously published results might be too optimistic. Thus, further approximations to reality are inevitable for more accurate simulation of DTN, in the goal to ultimately obtain better and more realistic results.
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Publications
Short Biography
Max Maaß obtained a master's degree in IT Security from TU Darmstadt in September 2016. He joined Secure Mobile Networking Lab (TU Darmstadt) in October 2016 and is currently working on secure and privacy-friendly distribution and use of sensor data within the GRK 2050 “Privacy and Trust for Mobile Users”.