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ISORC is a single-track conference, with a lively community. We have hosted a number of associated workshops, doctoral symposium, dissertation digest and are proud of our spirit of openness. We seek to encourage diverse views and new approaches to all Real-Time Issues and Challenges for novel applications and systems in RT computing issues.
Papers are to be submitted through the HotCRP system .
For our 27th symposium,
we are meeting in Tunisia, in the city of
Carthage, Tunisia from
May 22 - 25, 2023.
For more information on IEEE ISORC 2024 and its location, calls
for papers, workshops, and events, please use the menu bar at
the top of the screen of the main page. We look forward to
seeing you in Tunisia in Carthage 2024!
Main Track:
Submission deadline:
Final deadline (Firm): February 04, 2023
Acceptance notification:
Camera-ready papers:
Conference: May 22 - 25, 2024
Registration:
Early registration (for authors): April 1, 2024
Tweets by isorc2023
Speaker: Prof. Serge Fdida, Sorbonne University, France. |
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Title: Future Network reproducibility |
Abstract |
The scientific community engaged in the research of future generation networks and systems is lacking advanced and sustainable tools to evidence their research, accelerate the discovery process by sharing their data as well as support reproducibility. This first implies that academic research is often lagging behind large industry. Second, it becomes almost impossible to handle the pace of academic scientific production, largely data-driven thanks to the fast application of AI/ML, but that is hard to validate. SLICES is the first initiative structured as a scientific instrument, under the umbrella of the European ESFRI framework, sustainable, aiming to cover the full research large cycle. This talk will introduce the instrument, its community, academy and roadmap. It will emphasize its openness and potential for cooperation. |
Bio: Prof. Serge Fdida |
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Speaker: Prof. Jean-Luc Gaudiot, University of California, Irvine, USA. |
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Title: Hardware Security |
Abstract |
In the past decades, computer design has prioritized performance, cost reduction, and energy efficiency over security. Meanwhile, malicious attacks have surged with the ever- increasing number of Internet-connected devices. Traditional antivirus software struggles to combat these attacks, particularly those exploiting hardware vulnerabilities. We introduce an additional layer of malware detection at the hardware level, monitoring semantic and sub-semantic behaviors to enhance system security. We present a real- time malware detection system monitoring microarchitectural features to detect anomalies indicative of attacks like Rowhammer and Spectre. Our experiments demonstrate scalability and promising detection accuracy. Future research aims to extend detection to GPU and other hardware vulnerabilities, emphasizing proactive, multi-layered defense mechanisms to counter evolving malware threats. |
Bio: Prof. Jean-Luc Gaudiot |
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