6,095 research outputs found
Forensic Attacks Analysis and the Cyber Security of Safety-Critical Industrial Control Systems
Industrial Control Systems (ICS) and SCADA (Supervisory Control And Data Acquisition) applications monitor
and control a wide range of safety-related functions. These include energy generation where failures could have
significant, irreversible consequences. They also include the control systems that are used in the manufacture of
safety-related products. In this case bugs in an ICS/SCADA system could introduce flaws in the production of
components that remain undetected before being incorporated into safety-related applications. Industrial Control
Systems, typically, use devices and networks that are very different from conventional IP-based infrastructures.
These differences prevent the re-use of existing cyber-security products in ICS/SCADA environments; the
architectures, file formats and process structures are very different. This paper supports the forensic analysis of
industrial control systems in safety-related applications. In particular, we describe how forensic attack analysis is
used to identify weaknesses in devices so that we can both protect components but also determine the information
that must be analyzed during the aftermath of a cyber-incident. Simulated attacks detect vulnerabilities; a risk-based
approach can then be used to assess the likelihood and impact of any breach. These risk assessments are then used
to justify both immediate and longer-term countermeasures
New Design Techniques for Dynamic Reconfigurable Architectures
L'abstract è presente nell'allegato / the abstract is in the attachmen
A survey and classification of software-defined storage systems
The exponential growth of digital information is imposing increasing scale and efficiency demands on modern storage infrastructures. As infrastructure complexity increases, so does the difficulty in ensuring quality of service, maintainability, and resource fairness, raising unprecedented performance, scalability, and programmability challenges. Software-Defined Storage (SDS) addresses these challenges by cleanly disentangling control and data flows, easing management, and improving control functionality of conventional storage systems. Despite its momentum in the research community, many aspects of the paradigm are still unclear, undefined, and unexplored, leading to misunderstandings that hamper the research and development of novel SDS technologies. In this article, we present an in-depth study of SDS systems, providing a thorough description and categorization of each plane of functionality. Further, we propose a taxonomy and classification of existing SDS solutions according to different criteria. Finally, we provide key insights about the paradigm and discuss potential future research directions for the field.This work was financed by the Portuguese funding agency FCT-Fundacao para a Ciencia e a Tecnologia through national funds, the PhD grant SFRH/BD/146059/2019, the project ThreatAdapt (FCT-FNR/0002/2018), the LASIGE Research Unit (UIDB/00408/2020), and cofunded by the FEDER, where applicable
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