Conference Program

1. Provide a deep understanding of the cross-layer impact of hardware faults on the full system
   stack, taking into account all derating factors from technology (silicon) to software.
2. Describe and analyze methodologies and tools for the evaluation of the resilience of each
   system layer (i.e., circuit, microarchitecture, and software).
3. Illustrate how specific approaches for resilience analysis working at different layers of the
   system stack can be integrated to provide full system level analysis.
4. Showcase the accuracy, strengths and weaknesses of the presented techniques.

Students, researchers and practitioners working on computing systems hardware and software design, with concerns about the impact of hardware faults on the full system level operation.

It is expected a basic understanding of computing systems hardware and software such as: logic design, computer architecture and microarchitecture, operating systems and programming. Some basic background on hardware defect mechanisms, fault and error modeling.

The tutorial is organized in an incremental manner. It starts with an introduction to reliability and cross-layer techniques followed by the main techniques applied at each abstraction level (e.g., circuits, architecture and software). The last part is focused on the most advanced concepts of stochastic cross-layer modelling, analysis and optimization. The agenda will be:

• Introduction – Basic Concepts, Terminology (30 minutes)
• Technology level resilience assessments (30 minutes)
• Microarchitecture level resilience assessments (30 minutes)
• Software level resilience assessments (30 minutes)
• Stochastic based approach for System level resilience assessments (30 minutes)

• Alberto Bosio, École Centrale de Lyon, France
• Stefano Di Carlo, Politecnico di Torino, Italy
• Alessandro Savino, Politecnico di Torino, Italy
• Dimitris Gizopoulos, University of Athens, Greece
• Ramón Canal, Universitat Politècnica de Catalunya and Barcelona Supercomputing Center, Spain

The primary learning objectives of the tutorial are to demonstrate the capability of unsupervised learning algorithm to detect cyber-attacks and in particular zero-day attacks, and to instruct the attendees on the process to perform a well-crafted evaluation campaign.

In fact, after showing the current threat landscape as expanded by technical reports of agencies as ENISA, we will introduce anomaly detection, which is acknowledged as the most reliable answer to the detection of unknown errors or attacks. The participants will understand and use unsupervised algorithms that are particularly suited for anomaly detection, the main families and the differences in the way they decide if a data point is anomalous or normal. Participants will be involved in an hands-on session by using the RELOAD tool, which allows executing unsupervised anomaly detection algorithms and observing metric scores they provide on different datasets. This hands-on session, which can be conducted individually or in groups, will originate the final session which will constitute the final takeover of the tutorial, based both on participants activities and organizers’ experience in the domain.

The RELOAD tutorial targets anyone who is interested in the application of unsupervised ML algorithms for intrusion detection, with PhD students or young researchers as primary target audience. Consequently, we expect a remarkable amount of conference attendees to be interested in the topics of this tutorial, which targets beginners, with some content for intermediate. In fact, the tool to be used in the hand-on session will allow PhD students, researchers and practitioners who are starting to explore the discipline to get their first quantitative estimation of attack detection capabilities of algorithms, hiding implementation details which may be difficult to control at a first stage.

The tutorial will be composed by the following blocks.

• B1. Digression on the Current Threat Landscape (10% of tutorial time). Starting from public reports e.g., ENISA, we will describe the current state of cyber-attacks.
• B2. Anomaly-Based Intrusion Detection (15% of tutorial time). This part highlights some key terms and components that will be used in the rest of the tutorial, alongside with its role in detecting intrusions.
• B3. Unsupervised Algorithms and their Characteristics (10% of tutorial time). We will introduce some of the most common algorithms to be used for unsupervised anomaly detection.
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• B4. Presentation of the RELOAD Tool (15% of tutorial time): This part will let the audience understand what the RELOAD tool offers, and how to use the RELOAD tool for executing unsupervised algorithms.
• B5. Hands-On Session (40% of tutorial time): the attendees can use the tool to perform intrusion detection on public attack datasets that are previously downloaded by the organizers and shared with the slides.
• B6. Wrap-up and Final Discussion (10% of tutorial time): Results obtained during hand-on session will be discussed together with the audience, originating final discussions. We will prepare spare material for enriching the discussion, expanding on already existing studies.

• Tommaso Zoppi, University of Florence, Italy
• Andrea Ceccarelli, University of Florence, Italy
• Andrea Bondavalli, University of Florence, Italy

The main objective of this tutorial is to let researchers, developers, and users understand IPFS
and the capabilities it provides.

More specifically, participants will:

• Understand how IPFS brings content addressing as a core primitive for data distribution
• Learn how to use CIDs (content identifiers) to find content and interpret what the content
  is programatically
• Learn how to create custom data structures using IPFS and its underlying data format,
  IPLD (InterPlanetary Linked Data)
• Understand how libp2p bring process addressing as a core primitive for P2P and
  runtime-independent applications

The attendees do not need to have prior knowledge of IPFS, libp2p or filecoin and basic
knowledge and understanding of core networking and network security principles will be
adequate in order to follow along.

• Understanding how IPFS deals with files (60 mins)
• Solving distributed networking problems with libp2p (60 mins)
• The lifecycle of data in IPFS and filecoin (40 mins)
• Developing Apps with the IPFS API (20 mins)
  
  

• David Dias, Peer-2-Peer Software Engineer at Protocol Labs, (Palo Alto, CA and Lisbon,
  Portugal).
• Dr. Ioannis Psaras, EPSRC Fellow and University Lecturer (Assistant Professor) at
  University College London and a Research Scientist at Protocol Labs.

Paulo Esteves-Veríssimo is a professor and FNR PEARL Chair at the University of Luxembourg FSTM and SnT, and Head of the CritiX lab (https://wwwen.uni.lu/snt/research/critix). He is adjunct Professor of the ECE Dept., Carnegie Mellon University. Previously, he has been a professor of the Univ. of Lisbon (PT). He is the representative of UNILU-SnT in ECSO, the European Cyber Security Organisation, and member of its Scientific & Technical Committee (STC). He was Chair of the IFIP WG 10.4 on Dependable Computing and Fault-Tolerance and vice-Chair of the Steering Committee of the IEEE/IFIP DSN conference.

He is Fellow of the IEEE and Fellow of the ACM, and associate editor of IEEE Trans. on Emerging Topics in Computing (TETC). He is currently interested in architectures, middleware and algorithms for resilient modular and distributed computing, in areas like: SDN-based infrastructures; autonomous vehicles from earth to space; digital health and genomics; or blockchain and cryptocurrencies. He is author or co-author of over 200 peer-refereed int’l publications and
co-author of 5 books. Check his pubs on GSC.