Preface
vii
The next part is composed of 4 chapters, and can be generally described as
Hardware Implementation and Systems. It starts with 2 works devoted to sidechannel analysis. The first one is by Lejla Batina, Milena Djukanovic, Annelie
Heuser, and Stjepan Picek with the title It Started with Templates: The Future
of Profiling in Side-Channel Analysis. There the authors present a nice recap on
side-channel analysis over the years, with special interest in the use of machine
learning to speed it up, and they discuss its future and some open problems. The
following chapter is by Apostolos P. Fournaris, Athanassios Moschos, and Nicolas
Sklavos and is titled Side-Channel Attack Assessment Platforms and Tools for
Ubiquitous Systems. These authors also present an insightful perspective on the
evolution of this field, and then introduce their latest results and tools in the area.
The next two chapters are in the same area, but cover totally different topics. The
first is by Darren Hurley-Smith and Julio Hernandez-Castro and is titled Challenges
in Certifying Small-Scale (IoT) Hardware Random Number Generators. The
authors discuss some of their recent results in analysing hardware random number
generators and present some of the limitations of the current approaches used to
certify their security, proposing a number of ideas to try and solve these issues.
Finally, Aurélien Francillon, Sam L. Thomas, and Andrei Costin propose a study
and in-depth description and comparison of the best tools and techniques to detect
bugs in firmware in their chapter Finding Software Bugs in Embedded Devices.
The last part of the book hosts two works dealing with Privacy and Forensics.
Agusti Solanas, Edgar Batista, Fran Casino, Achilleas Papageorgiou, and Constantinos Patsakis present Privacy-Oriented Analysis of Ubiquitous Computing
Systems: A 5-D Approach, where they show in great detail some of the most
pressing issues in privacy on IoT systems and propose a methodology for its
improved analysis. Finally, Sasa Mrdovic deals with some of the differences
between classical computer forensics and the more challenging forensic analysis of
IoT systems, discussing the many open problems in the area but also its relevance
in IoT Forensics.
Funded by the Horizon 2020 Framework Programme of the European Union
Rennes, France
Gildas Avoine
Canterbury, UK
Julio Hernandez-Castro
vii
The next part is composed of 4 chapters, and can be generally described as
Hardware Implementation and Systems. It starts with 2 works devoted to sidechannel analysis. The first one is by Lejla Batina, Milena Djukanovic, Annelie
Heuser, and Stjepan Picek with the title It Started with Templates: The Future
of Profiling in Side-Channel Analysis. There the authors present a nice recap on
side-channel analysis over the years, with special interest in the use of machine
learning to speed it up, and they discuss its future and some open problems. The
following chapter is by Apostolos P. Fournaris, Athanassios Moschos, and Nicolas
Sklavos and is titled Side-Channel Attack Assessment Platforms and Tools for
Ubiquitous Systems. These authors also present an insightful perspective on the
evolution of this field, and then introduce their latest results and tools in the area.
The next two chapters are in the same area, but cover totally different topics. The
first is by Darren Hurley-Smith and Julio Hernandez-Castro and is titled Challenges
in Certifying Small-Scale (IoT) Hardware Random Number Generators. The
authors discuss some of their recent results in analysing hardware random number
generators and present some of the limitations of the current approaches used to
certify their security, proposing a number of ideas to try and solve these issues.
Finally, Aurélien Francillon, Sam L. Thomas, and Andrei Costin propose a study
and in-depth description and comparison of the best tools and techniques to detect
bugs in firmware in their chapter Finding Software Bugs in Embedded Devices.
The last part of the book hosts two works dealing with Privacy and Forensics.
Agusti Solanas, Edgar Batista, Fran Casino, Achilleas Papageorgiou, and Constantinos Patsakis present Privacy-Oriented Analysis of Ubiquitous Computing
Systems: A 5-D Approach, where they show in great detail some of the most
pressing issues in privacy on IoT systems and propose a methodology for its
improved analysis. Finally, Sasa Mrdovic deals with some of the differences
between classical computer forensics and the more challenging forensic analysis of
IoT systems, discussing the many open problems in the area but also its relevance
in IoT Forensics.
Funded by the Horizon 2020 Framework Programme of the European Union
Rennes, France
Gildas Avoine
Canterbury, UK
Julio Hernandez-Castro