About the Book

Recent advances in embedded systems, Artificial Internet of Things (AIoT), cybersecurity, and Artificial General Intelligence (AGI), and edge intelligence are fundamentally reshaping the design and deployment of modern financial technologies (FinTech). Financial services that were once centralized and cloud-driven are increasingly being executed across distributed, resource-constrained embedded devices — including smart payment terminals, mobile point-of-sale systems, vehicular gateways, smart meters, and secure hardware modules deployed throughout urban infrastructures.

Within cognitive city environments, financial transactions are no longer isolated digital events but integral components of larger IoT-enabled ecosystems. Embedded FinTech systems support machine-to-machine payments, real-time mobility services, energy trading, digital identity management, and automated public services. These applications demand low-latency execution, high availability, fault tolerance, and strong security guarantees.

Machine learning and artificial intelligence are becoming core enablers of intelligent financial services, supporting fraud detection, credit assessment, risk modeling, and adaptive pricing. When deployed at the edge, these techniques must be carefully adapted to operate under resource constraints, real-time requirements, and heterogeneous hardware environments. Emerging paradigms such as digital twins, decentralized finance (DeFi), blockchain-based platforms, and regulatory technologies (RegTech) further blur the boundaries between financial software, distributed systems, and embedded platforms.

This edited volume brings together contributions from international researchers and practitioners to address these challenges, presenting recent advances in embedded platforms, edge-based architectures, and intelligent algorithms underpinning modern FinTech systems for cognitive cities. The book will be published by Springer as part of the Lecture Notes in Networks and Systems (LNNS) series, and all chapters will be indexed in major international databases including Scopus, EI Compendex, INSPEC, WTI Frankfurt eG, zbMATH, and SCImago.

Book Structure

The volume is organized into four thematic parts:

• Part I: Foundations of Secure FinTech and Embedded Systems

• Part II: Machine Learning and Intelligent Financial Systems

• Part III: Secure Embedded and Edge-Based Financial Architectures for Cognitive Cities

• Part IV: Practical Case Studies and Industrial Implementations in Cognitive City Environments

Topics of Interest

We welcome original, unpublished contributions on topics including, but not limited to:

Embedded Systems and IoT for FinTech

• Embedded platforms for smart payment systems and point-of-sale terminals

• IoT-enabled financial services in urban and cognitive city environments

• Real-time and low-latency financial transaction processing on constrained devices

• Energy-efficient embedded architectures for FinTech applications

Edge Intelligence and Machine Learning

• On-device and edge-based machine learning for fraud detection and risk assessment

• Federated learning and privacy-preserving AI for distributed financial systems

• Credit scoring, adaptive pricing, and financial forecasting on embedded platforms

• Model compression, quantization, and inference optimization for edge FinTech

Security, Trust, and Cryptography

• Hardware-assisted security: trusted execution environments (TEE), secure elements, hardware roots of trust

• Side-channel attack resistance and physical security of embedded financial devices

• Cryptographic protocols for lightweight and constrained environments

• End-to-end security for distributed IoT payment infrastructures

Blockchain, DeFi, and Regulatory Technology

• Blockchain integration with edge and embedded IoT systems for decentralized finance

• Smart contracts for automated compliance and RegTech applications

• Digital identity management in cognitive city financial ecosystems

• Interoperability and standardization in distributed FinTech architectures

Digital Twins and Cognitive City Applications

• Digital twin modeling of financial processes and urban payment infrastructures

• Vehicle-to-everything (V2X) and mobility-as-a-service payment systems

• Smart energy trading and machine-to-machine micropayment platforms

• Autonomous public service delivery and embedded financial automation

Submission Guidelines

Authors are invited to submit a chapter proposal of 500–800 words outlining the chapter title, objectives, key contributions, and a short author biography. Upon acceptance of the proposal, full chapters should adhere to the Springer LNNS author guidelines and the following requirements:

• Length: 8,000 – 12,000 words (including references)

• Format: LaTeX, following Springer LNNS author templates (available at springer.com/authors)

• Language: English, written to a professional academic standard

• All chapters will undergo a double-blind peer-review process

• Previously published or simultaneously submitted work will not be considered

• All figures and tables must be original and of high resolution

• Accepted and published chapters will be indexed in Scopus, EI Compendex, INSPEC, WTI Frankfurt eG, zbMATH, and SCImago

Important Dates