• pparrend

    Author: Pierre Parrend, Timothé Mazzucotelli, Florent Colin
    RESEARCH REPORT n°1, ARK:69427/03
    Saturday, 20th May, 2017
    4P-Factory E-Laboratory: the factory of the future

    Keywords:
    Design Structure Matrices; Security Information Systems Architecture; Software Security; Secure Software Development Methodologies; Security and privacy in Complex Systems; Security Metrics and Measurement

    Abstract:
    Building secure software is often seen as a task mainly focused on development and penetration testing. However, it requires ensuring that the system embeds robust architecture principles, on which security features and proper code can rely. Few solutions for creating and monitoring such architectures exist, and those existing are dedicated to mission- and life-critical systems. Mainstream technologies, such as web platforms, host ever increasing critical application and data, and need suitable tools for enforcing relevant architecture-level monitoring. We propose to apply the Design Structure Matrix (DSM) model to represent and analyze the structure of complex applications. DSM is both an efficient analysis tool and a convenient tool for visualising complex systems. It supports the translation of software architectures into graphs, which prove to be efficient tools for structural analysis. Guidelines for secure architectures are expressed, first qualitatively, then in a quantitative manner, as constraints on these graphs. The Archan tool for supporting DSM-based architecture monitoring is presented. Our approach is illustrated for pedagogical stakes using two toy examples, and validated on a middle-scale project for managing sensitive medical data. Archan thus enforces sound architectural principles, which are a pre-requisite for building secure systems.

    posted in CS-DC Research Reports read more
  • pparrend

    Author: Fabio Guigou, Pierre Collet, Pierre Parrend
    TECHNICAL REPORT n°69427/02
    Thursday 13th April, 2017
    4P-Factory E-Laboratory: the factory of the future

    Keywords:
    Time series, Symbolic representation, Anomaly detection, Pattern mining

    Abstract:
    The advent of the Big Data hype and the consistent recollection of event logs and real-time data from sensors, monitoring software and machine configuration has generated a huge amount of time-varying data in about every sector of the industry. Rule-based processing of such data has ceased to be relevant in many scenarios where anomaly detection and pattern mining have to be entirely accomplished by the machine. Since the early 2000s, the de-facto standard for representing time series has been the Symbolic Aggregate approXimation (SAX).

    In this document, we present a few algorithms using this representation for anomaly detection and motif discovery, also known as pattern mining, in such data. We propose a benchmark of anomaly detection algorithms using data from Cloud monitoring software.

    posted in CS-DC Technical Reports read more
  • pparrend

    Step 1: create your report using the CSDC latex template

    Step 2: send your report to Pierre Parrend parrend@unistra.fr, together with :

    Step 3: the reviews are performed as open peer-review exchange between the reviewers and the author(s) using a shared copy of the reference template for report review.
    Reviewers provide accept, major rework, minor rework or reject recommandations. Reviewers also confirm the status of research or technical reports.
    In case of major or minor rework, the improvements are made by the authors according to the requirements.

    Step 4: acceptation is performed at the unanimity of the reviewers. The report is then affected a unique ARK number and published on the CS-DC Forum.

    posted in CS-DC Reports read more
  • pparrend

    Author: Jean Vieille
    TECHNICAL REPORT n°69427/01 - PDF File
    Tuesday 20th December, 2016
    4P-Factory E-Laboratory: the factory of the future

    Keywords:
    IT Transformation, Performance, Management, Investment, Entropy, Complexity, Viable System Model, Fractal Enterprise, Behaviour control, Conflict resolution

    Abstract:
    Increasing dynamics of industrial production (supply chain volatility, new products, re-engineering of facilities and organization) is both caused and addressed by information technologies. The IT world keeps inventing new technologies; analysts publish alarming maturity benchmarks; obsolescence is exacerbated by security concern, spare parts and skills shortage. Industrial IT needs to follow this ongoing transformation of enterprises and to take advantage of new IT technologies.
    Digital transformation has become a well-established motto that is often presented as a comprehensive IT re-engineering project. In reality, CEOs and CIOs are less enthusiastic considering the risks, cost and feasibility of such a big-bang approach. They perceive myths and hypes behind so-called new technologies, but wish to leverage real opportunities to provide the best informational support to operations and development of their enterprise given their available means.
    Shifting back the digital transformation project paradigm to an ongoing IT development process will make room for guiding efforts to support enterprise success and implement new technologies pragmatically and efficiently. In our thesis, performance management can help rationalizing this process if it links digital transformation process metrics to global enterprise achievement. Properly managed digital transformation performance shall help to prioritize requirements, set appropriate budgets based on acceptable latency of IT requirement fulfilment - digital/enterprise transformation ratio.
    This article describes a method for realizing this linkage by leveraging relevant systems, information and management theories: Control Chain Management Reference Model, Viable System Model, Performance cybernetics, Overall Interactional Effectiveness encompassing 6 Sigma, Lean management and Theory of Constraints.
    This article features a partial use case while this work is supported by limited implementations. It needs more experiments and developments to become a fully actionable.

    posted in CS-DC Technical Reports read more
  • pparrend

    Auteur: Veronique Legrand

    posted in BIONICS - 30/9/2016 read more
  • pparrend

    Auteur: Véronique Thomas-Vaslin

    posted in BIONICS - 30/9/2016 read more

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