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#edge computing Open access

Digital Transformation for Secure and Sustainable Systems: Advances in Privacy, Authentication, Intelligent Construction, and Connected Mobility

Aug 2026 · International Journal of Creative and Open Research in Engineering and Management

Abstract

Digital transformation is increasingly reshaping infrastructure systems by integrating connected technologies, intelligent decision-making, automated processes, and sustainable resource management. However, the rapid expansion of digital infrastructure has also introduced challenges related to cybersecurity, privacy, interoperability, scalability, environmental impact, and operational resilience. This study presents a systematic review of digital technologies for sustainable and secure infrastructure, with particular emphasis on connected vehicles, privacy-preserving technologies, and intelligent construction. The review examines two complementary domains: secure connected transportation and digitally enabled sustainable construction. In the transportation domain, attention is given to authentication, privacy protection, pseudonym management, Sybil resistance, accountability, zero-trust architectures, decentralized trust, and infrastructure-assisted security. In the construction domain, the review considers digital inspection, three-dimensional concrete printing, sustainable construction materials, and digitally supported supply-chain resilience. The analysis identifies common challenges across both domains, including the need for trustworthy data exchange, interoperability, scalable architectures, efficient resource utilization, and balanced protection of privacy and accountability. The findings indicate that digitalization should not be evaluated solely in terms of technological performance but through an integrated framework incorporating security, sustainability, resilience, economic feasibility, and lifecycle performance. The study further identifies opportunities for integrating artificial intelligence, edge computing, digital twins, privacy-preserving analytics, and energy-efficient cybersecurity into future infrastructure systems. The review provides a conceptual foundation for developing infrastructure that is not only intelligent and connected but also secure, sustainable, adaptive, and resilient. Keywords: Digital transformation; Sustainable infrastructure; Secure infrastructure; Connected vehicles; VANETs; Privacy preservation; Cybersecurity; Intelligent construction; Digital inspection; 3D-printed concrete; Supply-chain resilience; Zero-trust security; Blockchain; Artificial intelligence; Digital twins.

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#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

Agile - denoting "the quality of being agile, readiness for motion, nimbleness, activity, dexterity in motion" - software development methods are attempting to offer an answer to the eager business community asking for lighter weight along with faster and nimbler software development processes. This is especially the case with the rapidly growing and volatile Internet software industry as well as for the emerging mobile application environment. The new agile methods have evoked substantial amount of literature and debates. However, academic research on the subject is still scarce, as most of existing publications are written by practitioners or consultants. The aim of this publication is to begin filling this gap by systematically reviewing the existing literature on agile software development methodologies. This publication has three purposes. First, it proposes a definition and a classification of agile software development approaches. Second, it analyses ten software development methods that can be characterized as being "agile" against the defined criterion. Third, it compares these methods and highlights their similarities and differences. Based on this analysis, future research needs are identified and discussed.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 728 citations · ⚡54
#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

Context: Software startups are newly created companies with no operating history and fast in producing cutting-edge technologies. These companies develop software under highly uncertain conditions, tackling fast-growing markets under severe lack of resources. Therefore, software startups present a unique combination of characteristics which pose several challenges to software development activities. Objective: This study aims to structure and analyze the literature on software development in startup companies, determining thereby the potential for technology transfer and identifying software development work practices reported by practitioners and researchers. Method: We conducted a systematic mapping study, developing a classification schema, ranking the selected primary studies according their rigor and relevance, and analyzing reported software development work practices in startups. Results: A total of 43 primary studies were identified and mapped, synthesizing the available evidence on software development in startups. Only 16 studies are entirely dedicated to software development in startups, of which 10 result in a weak contribution (advice and implications (6); lesson learned (3); tool (1)). Nineteen studies focus on managerial and organizational factors. Moreover, only 9 studies exhibit high scientific rigor and relevance. From the reviewed primary studies, 213 software engineering work practices were extracted, categorized and analyzed. Conclusion: This mapping study provides the first systematic exploration of the state-of-art on software startup research. The existing body of knowledge is limited to a few high quality studies. Furthermore, the results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.

Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al. · 394 citations · ⚡54

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