February 2021 - Bodies.dissemination-committee

[SPARTA - bodies.dissemination-committee] Submission

by Algimantas Venckauskas

Dear all, We have submitted the paper „Technical Threat Intelligence Analytics: What and How to Visualize for Analytic Process“ to the 24th International Conference ELECTRONICS 2020 Abstract: Visual Analytics uses data visualization methods for enabling compelling analysis of data by engaging graphical and visual representation. In the domain of cybersecurity, convincing visual representation of data enables to ascertain valuable observations that allow the domain experts to construct efficient cyberattack mitigation strategies and provide useful decision support. In this paper, we present a survey of the visual analytics tools and methods in the domain of cybersecurity. We explore and discuss Technical Threat Intelligence visualization tools using the Five Question Method. We conclude the analysis of the works using Moody’s Physics of Notations, and VIS4ML ontology as a methodological background of visual analytics process. This paper is still under evaluation. If it gets accepted, we will acknowledge SPARTA. Best, Algimantas Venčkauskas Kauno technologijos universitetas

4 years, 3 months

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[SPARTA - bodies.dissemination-committee] Submission

by Raimundas Matulevicius

Hello, We have submitted a paper on “Development of the Information Security Management System Standard for Public Sector Organisations in Estonia” to the 24th International Conference on Business Information Systems. If accepted we will acknowledge the SPARTA project. Please see its abstract below. Best greetings, Raimundas and Mari Title: Development of the Information Security Management System Standard for Public Sector Organisations in Estonia Authors: Mari Seeba, Raimundas Matulevicius, Ilmar Toom Abstract. Standardisation gives us a common understanding or processes to do something in a commonly accepted way. In information security management, it means to achieve the appropriate security level in the context of known and unknown risks. Each government’s goal should be to provide digital services to its citizens with the acceptable level of confidentiality, integrity and availability. This study elicits the EU countries’ requirements for information security management system (ISMS) standards and provides the standards’ comparison requirements. The Estonian case is an example to illustrate the method when choosing or developing the appropriate ISMS standard to public sector organisations. -------- Information Security Research Group: <https://infosec.cs.ut.ee> -------- Dr. Raimundas Matulevičius, Professor of Information Security Institute of Computer Science University of Tartu Narva mnt 18, 51009 Tartu Estonia

4 years, 5 months

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[SPARTA - bodies.dissemination-committee] Request for SPARTA acknowledgment in paper

by maryline Laurent

Dear All, We submitted Sparta paper (attached) to a journal in January 2020. Title: Securing Organization’s Data: A Role-Based Authorized Keyword Search Scheme with Efficient Decryption By: Nazatul Haque Sultan, Maryline Laurent, Vijay Varadharajan. If accepted we plan to acknowledge SPARTA. Kind Regards, Prof. Maryline Laurent Maryline Laurent Professor, Télécom SudParis Head of R3S team, CNRS UMR5157 SAMOVAR lab Cofounder of the chair Values and Policies of Personal Information 9 rue Charles Fourier, 91011 EVRY +33 (0)160764442

4 years, 6 months

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[SPARTA - bodies.dissemination-committee] Paper Submission - Request for SPARTA acknowledgement

by Lukas Malina

Dear all, we plan to submit the survey paper “Security and Privacy Protection for Intelligent Infrastructures in the Post-Quantum Era” to the journal IEEE COMMUNICATIONS SURVEYS & TUTORIALS. Please find the compressed manuscript version in the attachment. The paper is in line with WP6 - Task 6.5 Privacy-by-Design and does not contain any sensitive information. If the paper will be accepted and no objections will be raised by diss. committee, we would like to acknowledge to SPARTA. Thank you. Best regards, Lukas Malina -- doc. Ing. Lukáš Malina, Ph.D. E-mail: malina(a)feec.vutbr.cz Brno University of Technology Faculty of Electrical Engineering and Communication Department of Telecommunications Technicka 12 616 00 Brno Czech Republic

4 years, 7 months

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[SPARTA - bodies.dissemination-committee] Submission

by Jan Hajný

Dear All, We plan to submit a paper on cybersecurity training and education to IEEE Access. Please find the pre-final version attached. Kind regards, Jan —— doc. Ing. Jan Hajný, Ph.D. Advanced Cybersecurity Brno University of Technology Phone: +420 541 146 961 WWW: http://crypto.utko.feec.vutbr.cz

4 years, 7 months

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[SPARTA - bodies.dissemination-committee] SPARTA Article

by Jean-Luc Danger

Dear members of SPARTA dissemination WP, I would like to inform you that the following SPARTA paper has been published: Tebelmann, L., Danger, J. L., & Pehl, M. (2020, April). Self-Secured PUF: Protecting the Loop PUF by Masking. In International Workshop on Constructive Side-Channel Analysis and Secure Design (pp. 293-314). Springer, Cham. Best regards, Jean-Luc Danger -- [ https://www.telecom-paris.fr/ ] Jean-Luc DANGER Enseignant-Chercheur 01 75 31 93 19 Nouvelle adresse : 19 place Marguerite Perey CS 20031 91123 Palaiseau Cedex [ https://www.telecom-paris.fr/ ] [ https://twitter.com/TelecomParis_ ] [ https://www.facebook.com/TelecomParis ] [ https://www.linkedin.com/school/telecom-paris/ ] [ https://www.instagram.com/telecom_paris/ ] [ https://blogrecherche.wp.imt.fr/ ] Une école de [ https://www.imt.fr/ | l'IMT ]

4 years, 7 months

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[SPARTA - bodies.dissemination-committee] Request for SPARTA acknowledgment in 2 papers

by mchoras＠itti.com.pl

Dear All, We submitted 2 new papers related to Sparta/Safair. 1. Title: The effects of data balancing procedures on surrogate explainability methods in network cybersecurity-related streamed difficult data By: Szczepanski, Komisarek, Pawlicki, Kozik, Choras. Venue: IJCNN 2021 conference Abstract: Handling the data imbalance problem is one of the crucial steps in a machine learning pipeline. The research community is well aware of the effects of data imbalance on machine learning algorithms. At the same time, there is a rising need for explainability of AI, especially in difficult, high-stakes domains like network intrusion detection. In this paper, the effects of data balancing procedures on two explainability procedures implemented to explain a neural network used for network intrusion detection are evaluated. The discrepancies between the two methods are highlighted and important conclusions are drawn. 2. Title:Is the COVID-19 pandemic helping to bridge the digital skill and cybersecurity awareness-related gender gap? By: A. Pawlicka, R. Tomaszewska, E. Krause, D. Jaroszewska-Choras, M.Pawlicki, M.Choras ́ Venue: IEEE Security and Privacy Abstract: Women tend to possess lower digital competence than men. This may lead to them being socially excluded and vulnerable to cybersecurity threats. This study concerned the digital literacy and the cybersecurity awareness of Polish women who have been forced to work online due to the COVID-19 pandemic. If accepted we plan to acknowledge SPARTA. Kind Regards, Prof. Michal Choras

4 years, 8 months

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[SPARTA - bodies.dissemination-committee] article submission

by Mohammad Reza Norouzian

Dear all, We are submitting a paper to the "IFIP SEC" conference this year. If it is accepted, we acknowledge SPARTA. Title: Hybroid: Toward Android Malware Detection and Categorization with Program Code and Network Traffic Abstract: Android malicious applications have become so sophisticated that they can bypass endpoint protection measures. Therefore, it is safe to admit that traditional anti-malware techniques have become cumbersome, thereby raising the need to develop efficient ways to detect Android malware. In this paper, we present Hybroid, a hybrid Android malware detection and categorization solution that utilizes program code structures as static behavioral features and network traffic as dynamic behavioral features for detection (binary classification) and categorization (multi-label classification). For static analysis, we introduce a natural language processing-inspired technique based on function call graph embeddings and design a graph neural network-based approach to convert the whole graph structure of an Android app to a vector. In dynamic analysis, we extract network flow features from the raw network traffic by capturing each application's network flow. Finally, Hybroid utilizes the network flow features combined with the graphs' vectors to detect and categorize the malware. Our solution gets 99.6% accuracy on average for malware detection and 97.6% accuracy for malware categorization. Best regards, Mohammad Norouzian -- Mohammad Reza Norouzian Lehrstuhl für Sicherheit in der Informatik I20 Institut für Informatik TU München Boltzmannstr. 3 85748 Garching Tel. +49 89 289 18584 Fax +49 89 289 18579 e-mail: norouzian(a)sec.in.tum.de http://www.sec.in.tum.de

4 years, 8 months

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Bodies.dissemination-committee February 2021