Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

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Session Overview
Location: Casino Urban Culture Center
Date: Wednesday, 24/Apr/2019
9:00am - 9:30amOpening
Casino Urban Culture Center 
9:30am - 10:30amKeynote 1
Session Chair: Liviu-Cristian Miclea, Technical University of Cluj-Napoca
Casino Urban Culture Center 
 

The Power of Computation-in-Memory: Beyond von Neumann and Beyond CMOS

Said Hamdioui

Delft University of Technology, the Netherlands

Today’s and emerging applications are extremely demanding in terms of storage and computing power. Data-intensive/big-data applications and internet-of-things (IoT) will transform the future; they will not only impact the all aspects of our life, but also change a lot in the IC and computer world. Emerging applications require computing power which was typical of supercomputers a few years ago, but with constraints on size, power consumption and guaranteed response time which are typical of the embedded applications. Both today’s computer architectures and device technologies (used to manufacture them) are facing major challenges making them incapable to deliver the required functionalities and features. In order for computing systems to continue deliver sustainable benefits for the foreseeable future society, alternative computing architectures and notions have to be explored in the light of emerging new device technologies.

 
10:30am - 11:00amCoffee Break + IoT Contest
Casino Urban Culture Center 
11:00am - 12:00pmKeynote 2
Session Chair: Alberto Bosio, ECL INL
Casino Urban Culture Center 
 

Towards embedding attack detection on Systems-on-Chip

Anca Molnos

CEA, France

Connected devices are increasingly targeted by cyber-security attacks. Such attacks may exploit software bugs, e.g., to install malware, and can go as far as physically interfering with the device by, e.g., side channel attacks or fault attacks to recover secret keys. Software and physical attacks can be combined, and give place to mixed, powerful means to gain control of a system.

Attack detection is a field that receives more and more attention because it has the potential to address several attacks at once. Machine learning methods can be applied in two steps. An off-line characterisation of the logical and physical properties of the Systems-on-Chip can give an idea about what is the nominal behaviour of the system. Run-time monitoring may determine if there are deviations from this behaviour. This talk will survey recent approaches for attack detection on Systems-on-Chip, for malware, memory attacks, and side-channel attacks. Furthermore our results on the utilisation of binary classification to design lightweight memory access detectors will be presented. Finally we will discuss the need to monitor heterogeneous features, e.g., physical, architectural and software, and future directions for research.

 

 
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