1,721,046 research outputs found
Improving security in industrial internet of things: A distributed intrusion detection methodology
No full textThe interaction among networking, sensing, and control in the modern industry results in a variety of new devices used in many sectors such as health, energy distribution, and transportation. The on-going tendency of exploiting automation and data exchange in manufacturing technologies leads to the Industry 4.0. The fourth industrial revolution deals with Cyber-Physical Systems, the Internet of Things, cloud computing, and cognitive computing converging towards the Industrial Internet of Things. To be successful, this new era requires innovative paradigms to ensure the security of provided services and connected systems. In the industrial field, the problem gets more complex due to the need of protecting a large attack surface while guaranteeing the availability of the systems and the real-time response to the presence of threats. In this chapter, we perform an analysis of the existing industrial threats and we present a distributed intrusion detection methodology to deal with attacks affecting the Industrial Internet of Things scenarios
Explaining the internationalization pathways of family firms: a qualitative research
No full textThis study aims to gain a deeper understanding of the internationalisation pathways of family firms and to explain the main differences among them through the study of two large firms in the Italian roasting sector. The analysis shows that the internationalisation pathway of these firms differs in a substantial way in regards to all three dimensions of the degree of internationalisation (scale, scope and time), even if the firms operate in the same industry and have the same size. The three factors that seem to explain fairly well the different internationalisation pathways of the two investigated firms are the mentality of family founder, the firms’ strategic approach and the place where the firm operates
Josephson effect with superfluid fermions in the two-dimensional BCS-BEC crossover
No full textWe investigate the macroscopic quantum tunneling of fermionic superfluids in the two-dimensional BCS-BEC crossover by using an effective tunneling energy which explicitly depends on the condensate fraction and the chemical potential of the system. We compare the mean-field effective tunneling energy with the beyond-mean-field one, finding that the mean-field tunneling energy is not reliable in the BEC regime of the crossover. Then we solve the Josephson equations of the population imbalance and the relative phase, calculating the frequency of tunneling oscillation both in the linear regime and in the nonlinear one. Our results show that the Josephson frequency is higher in the intermediate regime of the BCS-BEC crossover due to the peculiar behavior of the effective tunneling energy in the crossover
Situation awareness in critical infrastructures
No full textCritical infrastructure (CI) protection and situation awareness are relevant topics in critical system domain. These issues go far beyond the academic world involving very often the national security framework. In this contribution, a review of the most attractive approaches proposed for addressing the situation awareness problems is presented. Most of the proposed approaches are based on multi-sensor data fusion, since the awareness is achieved by building a scenario using data provided by sensors spread into the systems. Humans are supposed to interact with the system, but only a few models are able to include their intervention. The review analysis is performed by considering models, architectures, and techniques adopted in each system and by highlighting their effectiveness and drawbacks. Finally an example in the field of air traffic management is presented. © 2014 Inderscience Enterprises Ltd
Reliability of the Ginzburg–Landau Theory in the BCS-BEC Crossover by Including Gaussian Fluctuations for 3D Attractive Fermions
Full text linkWe calculate the parameters of the Ginzburg–Landau (GL) equation of a three-dimensional attractive Fermi gas around the superfluid critical temperature. We compare different levels of approximation throughout the Bardeen–Cooper–Schrieffer (BCS) to the Bose–Einstein Condensate (BEC) regime. We show that the inclusion of Gaussian fluctuations strongly modifies the values of the Ginzburg–Landau parameters approaching the BEC regime of the crossover. We investigate the reliability of the Ginzburg–Landau theory, with fluctuations, studying the behavior of the coherence length and of the critical rotational frequencies throughout the BCS-BEC crossover. The effect of the Gaussian fluctuations gives qualitative correct trends of the considered physical quantities from the BCS regime up to the unitary limit of the BCS-BEC crossover. Approaching the BEC regime, the Ginzburg–Landau equation with the inclusion of Gaussian fluctuations turns out to be unreliable
How digital technologies reshape marketing: evidence from a qualitative investigation.
Full text linkDigital technologies are now imperative for markets and society, and digital trans formation is becoming a key area of business innovation. However, digital trans formation is complex, and firms still lack the abilities to fully grasp and exploit
its opportunities. This study investigates how digital technologies are currently
implemented by companies. In particular, since digital transformation can reshape
the traditional process of value creation in which marketing is primarily involved,
the article analyses the impact of digital transformation on traditional marketing,
including its role, organisation, and instruments. The study conducted qualitative
research in the form of in-depth interviews with managers working for companies
operating in different Italian industries. The results show that digital technologies
are widely used by firms, although they often belong to the category of traditional
tools, and companies are more ‘digitalised’ than ‘digitally transformed’. Digital
technologies impact marketing by improving the abilities of market analytics, pric ing, and channel management and helping to build relationships with clients to
achieve value co-creation. Professional skills are variously augmented, while or ganisational processes are becoming more effective and flexible through the use
of multiple knowledge and cross-functional experiences. Research and managerial
implications are discussed in light of the main barriers and risks involved in the
implementation of digital transformation
MimePot: A model-based honeypot for industrial control networks
No full textComplex and heterogeneous systems characterize the Industry 4.0. Due to the Information Technology (IT) convergence towards the Operational Technology (OT), the development of innovative cyber-physical security tools represents a milestone for the Industrial Control Systems (ICSs) protection. In this context, honeypots are systems used as decoys to detect and analyze malicious actions. However, industrial networks require specic honeypot development capabilities. In this work, we present MimePot, a cyber-physical honeypot conceived for industrial control networks. Compared to classic honeypots, MimePot offers a model-based approach: It is able to simulate physical processes to lure skilled attackers targeting industrial plants. Moreover, MimePot uses the Software Defined Networking (SDN) technology to provide a consistent future proof security approach. We demonstrate the usefulness of MimePot performing data integrity attacks against a water distribution system in a simulated environment
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