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This study aims to provide a secured data aggregation with reduced energy consumption in WSN. Data aggregation is the process of reducing communication overhead in wireless sensor networks (WSNs). Presently, securing data aggregation is an important research issue in WSNs due to two facts: sensor nodes deployed in the sensitive and open environment are easily targeted by adversaries, and the leakage of aggregated data causes damage in the networks, and these data cannot be retrieved in a short span of time. Most of the traditional cryptographic algorithms provide security for data aggregation, but they do not reduce energy consumption.

Nowadays, the homomorphic cryptosystem is used widely to provide security with low energy consumption, as the aggregation is performed on the ciphertext without decryption at the cluster head. In the present paper, the Paillier additive homomorphic cryptosystem and Boneh et al.’s aggregate signature method are used to encrypt and to verify aggregate data at the base station.

The combination of the two algorithms reduces computation time and energy consumption when compared with the state-of-the-art techniques.

The secured data aggregation is useful in health-related applications, military applications, etc.

The new combination of encryption and signature methods provides confidentiality and integrity. In addition, it consumes less computation time and energy consumption than existing methods.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The purpose of this paper is to investigate the latest research related to secure routing protocols in Wireless Sensor Network (WSN) and propose a new approach that can achieve a higher security level compared to the existing one. One of the main security issues in WSNs is the security of routing protocols. A typical WSN consists of a large number of small size, low-power, low-cost sensor devices. These devices are very resource-constrained and usually use cheap short-range radios to communicate with each other in an ad hoc fashion thus, achieving security in these networks is a big challenge, which is open for research.

The route updates and data messages of the protocol are authenticated using Edwards-curves Digital Signature Algorithm (EdDSA). Routing protocols play an essential role in WSNs, they ensure the delivery of the sensed data from the remote sensor nodes to back-end systems via a data sink. Routing protocols depend on route updates received from neighboring nodes to determine the best path to the sink. Manipulating these updates by inserting rouge nodes in the network that advertise false updates can lead to a catastrophic impact on the compromised WSN performance.

As a result, a new secure energy-aware routing protocol (SEARP) is proposed, which uses security enhanced clustering algorithm and EdDSA to authenticate route advertisements and messages. A secure clustering algorithm is also used as part of the proposed protocol to conserve energy, prolong network lifetime and counteract wormhole attacks.

In this paper, a SEARP is proposed to address network layer security attacks in WSNs. A secure clustering algorithm is also used as part of the proposed protocol to conserve energy, prolong network lifetime and counteract wormhole attacks. A simulation has been carried out using Sensoria Simulator and the performance evaluation has been discussed.

The purpose of this paper is to develop an efficient tool to ensure traceability data entry based on RFID and improve the detection of fakes inside the supply chain.

First, the authors put forward a secure traceability system with a cryptographic operator that improves efficiency, saves costs and is adaptable to all types of supply chains. Second, the authors implement the system in a food manufacturing company, show the compatibility of the system with the initial production chain and demonstrate its improvement.

The authors have economically and technologically improved the detection of faked goods in the supply chain by means of a cheap and scalable system based on RFID.

The system has been tested in a manufacturing point of the supply chain, not in the supply chain as a whole. As traceability is additive in character, the results can be generalized and applied to each part of the supply chain.

A prototype has been built and implemented for a food manufacturing company. It meets all the specifications required for detection of fakes in manufactured products.

Unlike other existing products used to detect fakes through traceability, this system identifies fakes and potential counterfeits, significantly reducing the cost of security management. Another important difference is that verification can be performed by a third party not involved in the system, without loss of security.

This chapter critically discusses implications of working with ‘big data’ from the perspective of qualitative research and methodology. A critique is developed of the analytic troubles that come with integrating qualitative methodologies with ‘big data’ analyses and, moreover, the ways in which qualitative traditions themselves offer a challenge, as well as contributions, to computational social science.

The chapter draws on Interactionist understandings of social organisation as an ongoing production, tied to and accomplished in the actual practices of actual people. This is a matter of analytic priority but also points to a distinctiveness of sociological work which may be undermined in moving from the study of such actualities, suggesting an alternative coming crisis of empirical sociology.

A cautionary tale is offered regarding the contribution and character of sociological analysis within the ‘digital turn’. It is suggested that ‘big data’ analyses of traces abstracted from actual people and their practices not only miss and distort the relation of social practice to social product but, consequentially, can take on an ideological character.

The chapter offers an original contribution to current discussions and debates surrounding ‘big data’ by developing enduring critiques of sociological methodology and analysis. It concludes by pointing to contributions and interventions that such an empirical programme of qualitative research might make in the context of the ‘digital turn’ and is of value to those working at the interface of traditional and digital(ised) inquiries and methods.

Technology-enabled business-to-business (B2B) services contribute the largest share to GDP growth and are fundamental for an economy’s value creation. This article aims to identify key service- and digital technology-driven B2B innovation modes and proposes a research agenda for further exploration.

This conceptual paper adopts a techno-demarcation view on service innovation, encompassing three core dimensions: service offering (the service product, or the “what”), service process (the “how”) and service ecosystem (the “who/for whom”). It delineates the implications of three digital technologies – the internet-of-things (IoT), intelligent automation (IA) and digital platforms – for service innovation across these core dimensions in B2B markets.

Digital technology has immense potential ramifications for value creation by reshaping all three core dimensions of service innovation. Specifically, IoT can transform physical resources into reconfigurable service products, IA can augment and automate a rapidly expanding array of service processes, while digital platforms provide the technical and organizational infrastructure for the integration of resources and stakeholders within service ecosystems.

This study suggests an agenda with six themes for further research, each linked to one or more of the three service innovation dimensions. They are (1) new recurring revenue models, (2) service innovation in the metaverse, (3) scaling up service innovations, (4) ecosystem innovations, (5) power dependency and lock-in effects and (6) security and responsibility in digital domains.

This paper aims to explore the accelerations and constraints libraries, archives, museums and heritage organisations (“collections-holding organisations”) face in their role as collection data providers for digital infrastructures. To date, digital infrastructures operate within the cultural heritage domain typically as data aggregation platforms, such as Europeana or Art UK.

Semi-structured interviews with 18 individuals in 8 UK collections-holding organisations and 2 international aggregators.

Discussions about digital infrastructure development often lay great emphasis on questions and problems that are technical and legal in nature. As important as technical and legal matters are, more latent, yet potent challenges exist too. Though less discussed in the literature, collections-holding organisations' capacity to participate in digital infrastructures is dependent on a complex interplay of funding allocation across the sector, divergent traditions of collection description and disciplinaries’ idiosyncrasies. Accordingly, we call for better social-cultural and trans-sectoral (collections-holding organisations, universities and technological providers) understandings of collection data infrastructure development.

The authors recommend developing more understanding of the social-cultural aspects (e.g. disciplinary conventions) and their impact on collection data dissemination. More studies on the impact and opportunities of unified collections for different audiences and collections-holding organisations themselves are required too.

Sustainable financial investment across the heritage sector is required to address the discrepancies between different organisation types in their capacity to deliver collection data. Smaller organisations play a vital role in diversifying the (digital) historical canon, but they often struggle to digitise collections and bring catalogues online in the first place. In addition, investment in existing infrastructures for collection data dissemination and unification is necessary, instead of creating new platforms, with various levels of uptake and longevity. Ongoing investments in collections curation and high-quality cataloguing are prerequisites for a sustainable heritage sector and collection data infrastructures. Investments in the sustainability of infrastructures are not a replacement for research and vice versa.

The authors recommend establishing networks where collections-holding organisations, technology providers and users can communicate their experiences and needs in an ongoing way and influence policy.

To date, the research focus on developing collection data infrastructures has tended to be on the drive to adopt specific technological solutions and copyright licensing practices. This paper offers a critical and holistic analysis of the dispersed experience of collections-holding organisations in their role as data providers for digital infrastructures. The paper contributes to the emerging understanding of the latent factors that make infrastructural endeavours in the heritage sector complex undertakings.

With the current commercialization of the Internet, rapid development of mechanisms and systems to support commercial transactions over open, public networks can be seen. This paper sets out to review the emerging technologies with a specific application scenario in mind: that of online access to commercially‐operated bibliographic information and full‐text document delivery services via the World‐Wide‐Web.

Purpose: This chapter aims to lay out the issues regarding the world of digital currencies, private and central bank digital currency (CBDC). In that connection, the authors want to, as much as possible, systematically present the terminology, examples of various digital currencies and the technology behind that phenomenon. The chapter also highlights the occurrence of CBDC and the possible implications of its introduction to day-to-day commercial banking practice, possibly taking the payment systems and transactions alternation, balance sheet and profits’ issues into consideration.

Need for the study: Digital currencies already have and are also soon going to have an enormous impact on society as such, where payments for everyday goods and services are taken on a whole new platform and level, in the sense of how the payments are made and payment systems are constructed, as also in the sense of quantity, as the number and sum-wise payments carried out via such platforms are growing.

Methodology: A triangulation method, a mixed qualitative methodological approach was implemented, so the research offers a synthesis of previously published contributions in this field, followed by deductive and inductive reasoning interconnected with descriptive and comparative analyses.

Findings: As digital currency already have a vast impact on payment systems and modes of payment, the CBDC, an imperative of today and not the matter of the future, will have implications for commercial banks, probably in the field of lowering banks’ commissions, no big customer data-selling ability, accumulating the deposits and deposit policies and credit policies due to higher funding costs for banks. There is an interwovenness among the central bank activities, bank customer’s behaviour and commercial bank activities. Therefore, the change of payment and spending behaviour of customers because of central banks’ introducing novelties will also have consequences for the banking industry.

Practical implications: The choice to handle cash or digital currency will be obsolete, and an individual’s or a firm’s financial knowledge must be upgraded in the field of new money using angles. The issue of digital currencies and CBDCs are no longer a matter of choice but are becoming a new reality. Therefore, it is necessary for the common public, economy and banking system, especially now carrying out most of payments and transfers of money, to study this field and foresee the possible consequences and risks emerging.

This paper aims to present a study to measure “Consumer Preparedness” (CP) towards digital payment frauds by considering factors such as awareness regarding fraud risk (“Awareness”), implementation of measures (“Protection”) and actions to be taken in case of fraud (“Responsiveness”).

This study reviews existing literature to understand various typologies of digital payment fraud. The data of 372 consumers was collected using a structured questionnaire. The data was analyzed using analysis of variance (ANOVA) and Chi-square. CP score was calculated based on awareness score, protection score and responsiveness score.

The study shows that the score for the level of awareness was low, for the level of protection was moderate and for the level of responsiveness was high, leading to an overall moderate level of preparedness. Further, a moderate association was observed between demographic factors and the level of preparedness.

The authors recommend proactive and reactive measures for Central Banks regarding central fraud registry and intelligence exchange, consumer fraud vulnerability assessment model and mandating fraud risk management controls. Further, financial institutions are recommended to permit payment from registered devices only, implement strong customer authentication (including biometric authentication) and conduct periodic awareness sessions.

The existing body of knowledge does not have a model or scoring mechanism to assess the preparedness of consumers to tackle digital payment fraud. The research paper adds a classification of fraud typologies and an exploratory approach to measure the CP score.