Prof. Dr. Ing. Ahmad-Reza Sadeghi

Professor - System Security Lab

Mornewegstrasse 32
D-64293 Darmstadt
GERMANY

Room:4.1.06
Tel:+49 (0)6151 16 - 25328
Email:

ahmad.sadeghi(a-t)trust.tu-darmstadt.de  PGP-Key  S/MIME Certificate

Website:http://​trust.​tu-darmstadt.​de

 

 

Short CV

Ahmad-Reza Sadeghi is a full Professor of Computer Science at the Technische Universität Darmstadt, in Germany, where he heads the System Security Lab.  Since January 2012 he is also the Director of Intel Collaborative Research Institute for Secure Computing (ICRI-SC) at TU Darmstadt. He is a member of the profile area CYSEC of TU Darmstadt.

He received his PhD in Computer Science with the focus on privacy protecting cryptographic protocols and systems from the University of Saarland in Saarbrücken, Germany. Prior to academia, he worked in Research and Development of Telecommunications enterprises, amongst others Ericson Telecommunications.  He has been leading and involved in a variety of national and international research and development projects on design and implementation of Trustworthy Computing Platforms and Trusted Computing, Security Hardware, and Applied Cryptography. He has been serving as general or program chair as well as program committee member of major conferences and workshops in Information Security and Privacy. He is Editor-In-Chief of IEEE Security and Privacy Magazine, and on the editorial board of ACM Books. He served 5 years on the editorial board of the ACM Transactions on Information and System Security (TISSEC), and was guest editor of the IEEE Transactions on Computer-Aided Design (Special Issue on Hardware Security and Trust).

Prof. Sadeghi has been awarded with the renowned German prize “Karl Heinz Beckurts” for his research on Trusted and Trustworthy Computing technology and its transfer to industrial practice. The award honors excellent scientific achievements with high impact on industrial innovations in Germany. Further, his group received German IT Security Competition Award 2010. 

 

Book: Towards Hardware-Intrinsic Security 

"This book will prove to be very interesting for professionals in the hardware security field. It covers almost every aspect of this area, with excellent papers written by experts."

Javier Castillo, ACM Computing Reviews, June 2011

Academic Activities

 

ACM Books, Area Editor (Security and Privacy)

General Chair

  • ACM Conference on Computer and Communications Security (ACM CCS) 2013
  • International Conference on Trust and Trustworthy Computing (TRUST) 2010

Program (Co-) Chair

  • Financial Cryptography and Data Security (FC) 2013
  • ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec) 2013
  • International Conference on Cryptology and Network Security (CANS) 2012
  • International Workshop on Trustworthy Embedded Devices (TrustED) 2012
  • SecureCloud 2012
  • ACM Workshop on Digital Rights Management (ACM DRM) 2011
  • ACM Workshop on Scalable Trusted Computing (ACM STC) 2011
  • International Conference on Trust and Trustworthy Computing (TRUST) 2011

Program Committee

  • IEEE Workshop on Mobile Security Technologies (MoST), co-located with IEEE S&P, 2013
  • IEEE Symposium on Security & Privacy (IEEE S&P) 2013
  • ACM Conference on Computer and Communications Security (ACM CCS) 2012
  • Network & Distributed System Security Symposium (NDSS) 2013, 2012
  • ACM Conference on Security and Privacy in Wireless and Mobile Networks (ACM WiSec) 2012
  • European Symposium on Research in Computer Security (ESORICS) 2013, 2012, 2011
  • ACM Symposium on Information, Computer and Communications Security (AsiaCCS) 2013, 2012
  • ACM Conference on Data and Application Security and Privacy (CODASPY) 2013
  • ACM CCS Workshop on Security and Privacy in Smartphones and Mobile Devices (ACM SPSM) 2012
  • ACM Cloud Computing Security Workshop (ACM CCSW) 2012
  • Workshop on RFID Security and Privacy (RFIDSec) 2012
  • Conference on Privacy, Security and Trust (PST) 2012
  • ACM SIGHIT International Health Informatics Symposium (IHI) 2012
  • IEEE International Workshop on Information Forensics and Security (WIFS) 2012
  • IEEE Symposium on Hardware-Oriented Security and Trust (HOST) 2012, 2009
  • Information Hiding Conference (IH) 2012, 2011
  • International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM) 2012, 2011
  • International Multidisciplinary Privacy Award (CPDP MPA) 2012, 2011
  • Smart Card Research and Advanced Application Conference (CARDIS) 2012
  • Financial Cryptography and Data Security (FC) 2011, 2006, 2005
  • Workshop on Cryptographic Hardware and Embedded Systems (CHES) 2011, 2005
  • International Conference on Applied Cryptography and Network Security (ACNS) 2011, 2010
  • International Conference on Information Security and Cryptology (ISISC) 2011
  • Computer & Electronics Security Applications Rendez-vous (C&ESAR) 2011
  • International Conference on Network and System Security (NSS) 2011
  • International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) 2011
  • International Conference on Trusted Systems (INTRUST) 2011, 2010, 2009
  • International Workshop on Trustworthy Embedded Devices (TrustED) 2011
  • Workshop on Lightweight Security & Privacy: Devices, Protocols, and Applications (LightSec) 2011
  • Workshop on Real-Life Cryptographic Protocols and Standardization (RLCPS) 2011, 2010
  • Workshop on Secure Data Management (SDM) 2011
  • International Conference on E-voting and Identity (VoteID) 2009
  • ACM Workshop on Scalable Trusted Computing (ACM STC) 2008, 2006
  • Benelux Workshop on Information and System Security 2006
  • International Conference on Cryptology in India (INDOCRYPT) 2006
  • International Workshop on Digital Watermarking (IWDW) 2006
  • International Workshop on Information Security Applications (WISA) 2006
  • Workshop on Advances in Trusted Computing (WATC) 2006
  • ACM Workshop on Digital Rights Management (ACM DRM) 2005, 2004, 2003
  • Information Security and Hiding (ISH) 2005
  • New Security Paradigm Workshop (NSPW) 2005, 2004
  • SKOLIS Conference on Information Security and Cryptography (CISC) 2005
  • European Workshop on Security in Ad-Hoc and Sensor Networks (ESAS) 2004

Publications

Privacy-Preserving ECG Classification with Branching Programs and Neural Networks

Author Mauro Barni, Pierluigi Failla, Riccardo Lazzeretti, Ahmad-Reza Sadeghi, Thomas Schneider
Date June 2011
Kind Article
JournalIEEE Transactions on Information Forensics and Security (TIFS)
KeyTUD-CS-2011-0066
Research Areas CASED, System Security Lab, Engineering Cryptographic Protocols, Secure Things
Abstract Privacy protection is a crucial problem in many biomedical signal processing applications. For this reason particular attention has been given to the use of secure multi party computation techniques for processing biomedical signals, whereby non-trusted parties are able to manipulate the signals although they are encrypted. This paper focuses on the development of a privacy preserving automatic diagnosis system whereby a remote server classifies a biomedical signal provided by the client without getting any information about the signal itself and the final result of the classification. Specifically, we present and compare two methods for the secure classification of ElectroCardioGram (ECG) signals: the former based on Linear Branching Programs (a particular kind of decision tree) and the latter relying on Neural Networks. The paper faces with all the requirements and difficulties related to working with data that must stay encrypted during all the computation steps, including the necessity of working with fixed point arithmetic with no truncation while guaranteeing the same performance of a floating point implementation in the plain domain. A highly efficient version of the underlying cryptographic primitives is used, ensuring a good efficiency of the two proposed methods, from both a communication and computational complexity perspectives. The proposed systems prove that carrying out complex tasks like ECG classification in the encrypted domain efficiently is indeed possible in the semi-honest model, paving the way to interesting future applications wherein privacy of signal owners is protected by applying high security standards.
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