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Your search keyword '"Rak, M"' showing total 19 results
Start Over Author "Rak, M" Publisher elsevier bv
19 results on '"Rak, M"'

1. Effect of grinding on the physico-chemical properties of Mg-Al hydrotalcite and its performance as a catalyst for Baeyer-Villiger oxidation of cyclohexanone

Author

Olszówka, J.E., primary, Karcz, R., additional, Michalik-Zym, A., additional, Napruszewska, B.D., additional, Bielańska, E., additional, Kryściak-Czerwenka, J., additional, Socha, R.P., additional, Nattich-Rak, M., additional, Krzan, M., additional, Klimek, A., additional, Bahranowski, K., additional, and Serwicka, E.M., additional

Published
2019
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2. Chemically Modified Variants of Fenofibrate with Antiglioblastoma Potential

Author

Stalinska, J., primary, Zimolag, E., additional, Pianovich, NA., additional, Zapata, A., additional, Lassak, A., additional, Rak, M., additional, Dean, M., additional, Ucar-Bilyeu, D., additional, Wyczechowska, D., additional, Culicchia, F., additional, Marrero, L., additional, Del Valle, L., additional, Sarkaria, J., additional, Peruzzi, F., additional, Jursic, BS, additional, and Reiss, K., additional

Published
2019
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8. Magnesium and/or calcium-containing natural minerals as ecologically friendly catalysts for the Baeyer–Villiger oxidation of cyclohexanone with hydrogen peroxide

Author

Olszówka, J., primary, Karcz, R., additional, Napruszewska, B., additional, Bielańska, E., additional, Dula, R., additional, Krzan, M., additional, Nattich-Rak, M., additional, Socha, R.P., additional, Klimek, A., additional, Bahranowski, K., additional, and Serwicka, E.M., additional

Published
2016
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18. ESSecA: An automated expert system for threat modelling and penetration testing for IoT ecosystems

Author

Massimiliano Rak, Daniele Granata, Giovanni Salzillo, Rak, M., Salzillo, G., and Granata, D.

Subjects
Security testing automation, IoT, General Computer Science, Control and Systems Engineering, Attack pattern, Penetration testing, Threat Model, Security, CAPEC, Internet of Thing, Electrical and Electronic Engineering, Expert system, MITRE
Abstract

Despite the growing spread of Internet of Things (IoT) ecosystems, their security assessment is still an open issue. Identifying threats, vulnerabilities, and attacks is a costly and time-consuming process, incompatible with their time-to-market. Undoubtedly, the introduction of automated security assessment techniques would increase the security level of many IoT products, while containing the costs. In this article, we introduce ESSecA, an Expert System for Security Assessment that guides penetration testers during the assessment of IoT systems, in a threat-intelligence-driven perspective. ESSecA bases its analysis on different knowledge-bases, some maintained by MITRE. Starting from the system model, ESSecA produces a Threat Model and a list of Attack Plans for each identified threat. This information can be used by penetration testers to perform a systematic security test of the target IoT infrastructure. We applied the technique to a typical home automation system, the Open Energy Monitor, providing some attack patterns for its security evaluation.

Published
2022
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19. Security-by-design in multi-cloud applications: An optimization approach

Author

Valentina Casola, Alessandra De Benedictis, Massimiliano Rak, Umberto Villano, Casola, V., De Benedictis, A., Rak, M., Villano, U., Casola, Valentina, De Benedictis, Alessandra, Rak, Massimiliano, and Villano, Umberto

Subjects
Information Systems and Management, Process (engineering), Computer science, Security Service Level Agreement SLA, Cloud computing, 02 engineering and technology, Security policy, Theoretical Computer Science, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, business.industry, Computer Science Applications1707 Computer Vision and Pattern Recognition, 020207 software engineering, Security-driven cloud deployment optimization, Secure by design, Computer Science Applications, Identification (information), Risk analysis (engineering), Control and Systems Engineering, Software deployment, Analytic Hierarchy Process AHP, Resource allocation, 020201 artificial intelligence & image processing, business, Secure multi-cloud application, Software
Abstract

Currently an increasing number of customers require cloud services with guaranteed security levels. At this aim, the adoption of multi-cloud strategies is spreading in a large number of interesting application domains, since they may potentially improve security and reduce development costs. However, the problem of identifying the optimal distribution of the components of a cloud application on resources belonging to multiple and heterogeneous providers is very challenging, especially in the presence of different security and performance constraints. This paper presents a novel security-driven approach for the design, development and deployment of multi-cloud applications. It is based on a fully-automatable process that supports the developer from the elicitation of the application requirements up to the identification of the optimal deployment configuration, allowing to find the best compromise between overall cost and achieved level of security. The proposed optimization process takes explicitly into account two critical aspects that are often overlooked in similar approaches, namely the cloud on-demand leasing model for the allocation of resources and the impact that the deployment has on the security policies actually implemented by a complex application.

Published
2018
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