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Journal of ICT Standardization

Editor-in-Chief: Anand R. Prasad, NEC, Japan

Associate Editor: Sivabalan Arumugam, NEC India


ISSN: 2245-800X (Print Version),

ISSN: 2246-0853 (Online Version)
Vol: 6   Issue: 3

Published In:   September 2018

Publication Frequency: Triannual


Search Available Volume and Issue for Journal of ICT Standardization


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Editorial Foreword


Anand R. Prasad1 and Sivabalan Arumugam2

1NEC Corporation, Japan
2NEC Technologies India Private Limited, India

Abstract: [+]    |    Download File [ 36KB ]    |   Read Article Online

Abstract:

We present 5 papers in this issue of the journal. Short version of first 3 papers were published in ITU Kaleidoscope 2017; extended version with new results was submitted to the journal. All extended and directly submitted papers were thoroughly reviewed before acceptance for publication.

Papers are listed below:

  1. Towards informing human-centric ICT standardization for data-driven societies

    Mamello Thinyane (Institute on Computing and Society (UNU-CS), Macau – SAR)

  2. Sparse data enrichment by context oriented model reduction techniques in manufacturing industry with an example laser drilling process

    You Wang (NLD of RWTH Aachen University, Steinbachstraße, Germany)

    Hasan Tercan (IMA of RWTH Aachen University, Dennwartstraße, Germany)

    Torsten Hermanns (Fraunhofer Institute for Laser Technology, Steinbachstraße, Germany)

    Thomas Thiele (IMA of RWTH Aachen University, Dennwartstraße, Germany)

    Tobias Meisen (IMA of RWTH Aachen University, Dennwartstraße, Germany)

    Sabina Jeschke (IMA of RWTH Aachen University, Dennwartstraße, Germany)

    Wolfgang Schulz (Fraunhofer Institute for Laser Technology, Steinbachstraße, Germany)

  3. Capability Maturity Models as a Means to Standardize Sustainable Development Goals Indicators Data Production

    Ignacio Marcovecchio (Institute on Computing and Society (UNU-CS), Macau)

    Mamello Thinyane (Institute on Computing and Society (UNU-CS), Macau)

    Elsa Estevez (Instituto de Ciencias e Ingeniería de la Computación, CONICET, Argentina)

    Pablo Fillottrani (Universidad Nacional del Sur, Argentina)

  4. Mobile Subscriber Profile data Privacy Breach via 4G Diameter Interconnection

    Silke Holtmanns (Nokia Bell Labs, Security Research, Karakaari 3, 02610 Espoo, Finland)

    Ian Oliver (Nokia Bell Labs, Security Research, Karakaari 3, 02610 Espoo, Finland)

    Yoan Miche (Nokia Bell Labs, Security Research, Karakaari 3, 02610 Espoo, Finland)

  5. Experiences in Trusted Cloud Computing

    Ian Oliver (Nokia Bell Labs, Security Research, Karakaari 3, 02610 Espoo, Finland)

    Silke Holtmanns (Nokia Bell Labs, Security Research, Karakaari 3, 02610 Espoo, Finland)

    Shankar Lal (Nokia Bell Labs, Security Research, Karakaari 3, 02610 Espoo, Finland)

Our thanks to the authors for their paper submission, the reviewers for their generous contribution of time and expertise, and of course the readers of the journal for their interest.

Dr. Anand R. Prasad
Editor-in-Chief
NEC Corporation, Japan

Dr. Sivabalan Arumugam
Associate Editor
NEC Technologies India Private Limited, India

Towards Informing Human-centric ICT Standardization for Data-driven Societies

doi: https://doi.org/10.13052/jicts2245-800X.631
Mamello Thinyane

United Nations University, Institute on Computing and Society (UNU-CS), Macau – SAR

Abstract: [+]    |    Download File [ 1383KB ]    |   Read Article Online

Abstract: Information and communication technology (ICT) standards play a crucial role towards harnessing technological developments and shaping the technology landscape. ICT standards development is largely driven by standards developing organizations or standards setting organizations that represent and are informed by the perspectives and interests of the ICT private sector and the public sector. Thus the shaping of the standards is mostly driven by the business, technical, and legal impetus, towards facilitating greater market influence, coordination, integration, interoperability, and legal conformity. The technocentric, business-focused perspective to ICT developments, and corollary to ICT standards development, is distinct from and can be orthogonal to the human-centric perspective that elevates the role and centrality of the human concerns over the technology and business concerns. Notwithstanding the crucial role of business and technology, it remains that at the centre of the 21st century data-driven societies are individuals and end-users who are the primary actants and agents within the technology and data ecosystems. This gives motivation for infusing the human perspectives and values into technology development as well as into ICT standards development. This is more pronounced for cases where the business and technocentric interests are at odds and opposed to the human interests, such as, the need for increased datafication to support Big Data developments versus the need for individuals’privacy preservation. In this research, which is framed through a case study of personal health informatics in the context of sustainable development (i.e., sustainable development goal on “health and wellbeing” – SDG3) indicators monitoring, we have undertaken a survey to investigate the human-centric values and attitudes associated with the collection and use of personal data. From this inquiry, the paper highlights and surfaces: individuals attitudes and perceptions around monitoring of social indicators; key considerations associated with data ownership, privacy and confidentiality of data, as well as sharing of personal data within the data ecosystem. The paper then discusses how these findings could inform and be infused into the development of technology artefacts and standards, towards a realization of more human-centric data-informed societies.

Keywords: Data-driven societies, standardization, human-centric ICT.

Sparse Data Enrichment by Context Oriented Model Reduction Techniques in Manufacturing Industry with an Example Laser Drilling Process

doi: https://doi.org/10.13052/jicts2245-800X.632
You Wang1, Hasan Tercan2, Torsten Hermanns3, Thomas Thiele2, Tobias Meisen2, Sabina Jeschke2 and Wolfgang Schulz1,3

1Nonlinear Dynamics of Laser Manufacturing Processes Instruction and Research Department (NLD) of RWTH Aachen University, Steinbachstraße 15, 52074, Aachen, Germany
2Institute of Information Management in Mechanical Engineering (IMA) of RWTH Aachen University, Dennwartstraße 27, 52068, Aachen, Germany
3Fraunhofer Institute for Laser Technology, Steinbachstraße, 52074, Aachen, Germany

Abstract: [+]    |    Download File [ 2126KB ]    |   Read Article Online

Abstract: Nowadays, the internet of things and industry 4.0 from Germany are all focused on the application of data analytics and Artificial Intelligence to build the succeeding generation of manufacturing industry. In manufacturing planning and iterative designing process, the data-driven issues exist in the context of the purpose for approaching the optimal design and generating an explicit knowledge. The multi-physical phenomena, the time consuming comprehensive numerical simulation, and a limited number of experiments lead to the so-called sparse data problems or “curse of dimensionality”. In this work, an advanced technique using reduced models to enrich sparse data is proposed and discussed. The validated reduced models, which are created by several model reduction techniques, are able to generate dense data within an acceptable time. Afterwards, machine learning and data analytics techniques are applied to extract unknown but useful knowledge from the dense data in theVirtual Production Intelligence (VPI) platform. The demonstrated example is a typical case from laser drilling process.

Keywords: sparse data, industry data, model reduction, machine learning, virtual production intelligence.

Capability Maturity Models as a Means to Standardize Sustainable Development Goals Indicators Data Production

doi: https://doi.org/10.13052/jicts2245-800X.633
Ignacio Marcovecchio1,2, Mamello Thinyane1, Elsa Estevez2,3 and Pablo Fillottrani2,4

1United Nations University, Institute on Computing and Society (UNU-CS), Macau
2Depto. de Ciencias e Ingeniería de la Computación, Universidad Nacional del Sur, Argentina
3Instituto de Ciencias e Ingeniería de la Computación, CONICET, Argentina
4Comisión de Investigaciones Científicas de la Provincia de Buenos Aires, Argentina

Abstract: [+]    |    Download File [ 3681KB ]    |   Read Article Online

Abstract: Achieving the Sustainable Development Goals (SDGs) demands effective harnessing of the ensuing data revolution – the integration of new and traditional data to produce high-quality indicators that are detailed, timely, and actionable for multiple purposes and to a variety of users. The quality of these indicators, defined in terms of completeness, uniqueness, timeliness, validity, accuracy, and consistency, is crucial for their use in national level planning, monitoring and evaluation (PM&E) processes, for facilitating global monitoring of progress on the SDGs, and for enabling comparative evaluation between countries. The use of indicators for trans-national analyses and global-level decision making necessitates coordination, integration, and interoperation between the various stakeholders within the global data ecosystem. Various instruments, including protocols, models, frameworks, specifications, and standards are used widely to facilitate the coordination, integration, and interoperation across various global systems, such as telecommunication systems. In this paper, we posit that Capability Maturity Models (CMMs) can be an instrument and a mechanism towards not only ensuring the production of high-quality indicators data, but also for standardizing the key processes around the production of SDG indicators data, and for facilitating interoperation within the data ecosystem. This paper motivates for the adoption and mainstreaming of organizational CMMs within the SDGs activities. It also presents the preliminary formulation of a multidimensional prescriptive CMM to assess and articulate pathways towards the maturity of organizations within national data ecosystems and, therefore, the effective monitoring of the progress on the SDG targets through the production of high-quality indicators data. Furthermore, the paper provides recommendations towards addressing the challenges within the increasingly data-driven domain of social indicators monitoring.

Keywords: Sustainable Development Goals, Capability Maturity Model, Data Revolution, Institutional Capacity.

Mobile Subscriber Profile Data Privacy Breach via 4G Diameter Interconnection

doi: https://doi.org/10.13052/jicts2245-800X.634
Silke Holtmanns, Ian Oliver and Yoan Miche

Nokia Bell Labs, Security Research, Karakaari 3, 02610 Espoo, Finland

Abstract: [+]    |    Download File [ 7974KB ]    |   Read Article Online

Abstract: The interconnection network (IPX) connects telecommunication networks with each other on the globe. The IPX network enables features like voice and data roaming with your mobile device while traveling. Designed as a closed network it is now opening and unauthorized entities now misuse the IPX network for their purposes. The majority of the IPX still runs the Signalling System No 7 (SS7) protocol stack, while the more technically advanced operators roll out and deploy Diameter based LTE roaming. SS7 is known to suffer from many attacks. The first attacks using the Diameter protocol appeared.We will show how an attacker can breach the subscriber’s privacy by deducting the subscriber profile from the Home Subscriber Service (HSS) and use the obtained information. The subscriber profile contains all key information related to the users’subscription e.g. location, billing information, MSISDN etc. We will close with a recommendation how to prevent such an attack.

Keywords: SS7, Diameter, IPX, security.

Experiences in Trusted Cloud Computing

doi: https://doi.org/10.13052/jicts2245-800X.635
Ian Oliver, Silke Holtmanns and Shankar Lal

Nokia Bell Labs, Security Research, Karakaari 3, 02610 Espoo, Finland

Abstract: [+]    |    Download File [ 2304KB ]    |   Read Article Online

Abstract: While trusted computing is a well-known technology, its role has been limited in scope and to single machines. The advent of cloud computing, its role as critical infrastructure and the requirement for trust between the users of computing resources combines to form a perfect environment for trusted and high-integrity computing. Indeed, the use of trusted computing is an enabling technology over nearly all ‘cyber’ areas: secure supply chain management, privacy and critical data protection, data sovereignty, cyber defence, legal etc. To achieve this generalization, we must fundamentally redefine what we mean by trusted and high-integrity computing. We are required to go beyond the boot-time trust and rethink notions of run-time trust, partial trust, how systems are constructed, the trust between management and operations, compute and storage infrastructure and the dynamic provisioning of services by external parties. While attestation technologies, so-called run-time trust and virtualized TPM are being brought to the fore, adopting these does not solve any of the fundamental problems of trust in the cloud.

Keywords: NFV,Trusted Computing, Security,Telecommunications, Cloud.

River Publishers: Journal of ICT Standardization