Ai in software engineering: A survey on project management applications

T Crawford, S Duong, R Fueston, A Lawani… - arXiv preprint arXiv …, 2023 - arxiv.org
Artificial Intelligence (AI) refers to the intelligence demonstrated by machines, and within the
realm of AI, Machine Learning (ML) stands as a notable subset. ML employs algorithms that …

Exploring privacy measurement in federated learning

GK Jagarlamudi, A Yazdinejad, RM Parizi… - The Journal of …, 2024 - Springer
Federated learning (FL) is a collaborative artificial intelligence (AI) approach that enables
distributed training of AI models without data sharing, thereby promoting privacy by design …

Risk Management and Cybersecurity in Transportation and Warehousing

A Khan, NZ Jhanjhi, HAHBH Omar… - … Measures for Logistics …, 2024 - igi-global.com
Transportation and warehousing are vital components of logistics corporations. Their
continuous uninterrupted functioning is of paramount significance for the enterprises …

An IoT and Blockchain-Based Secure and Transparent Supply Chain Management Framework in Smart Cities Using Optimal Queue Model

AYAB Ahmad, N Verma, N Sarhan, EM Awwad… - IEEE …, 2024 - ieeexplore.ieee.org
The process of controlling the flow of products and services from a company by
encompassing each stage involved in transforming raw materials and parts into finished …

Systemization of Knowledge (SoK)-Cross Impact of Transfer Learning in Cybersecurity: Offensive, Defensive and Threat Intelligence Perspectives

S Makar, A Dehghantanha, F Zarrinkalam… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent literature highlights a significant cross-impact between transfer learning and
cybersecurity. Many studies have been conducted on using transfer learning to enhance …

Security and Privacy Enhancing in Blockchain-based IoT Environments via Anonym Auditing

P Khordadpour, S Ahmadi - arXiv preprint arXiv:2403.01356, 2024 - arxiv.org
The integration of blockchain technology in Internet of Things (IoT) environments is a
revolutionary step towards ensuring robust security and enhanced privacy. This paper …

Application of Internet of Energy in Smart Grids Using Deep Reinforcement Learning and Convolutional Neural Network

AM Ruzbahani - arXiv preprint arXiv:2405.13831, 2024 - arxiv.org
The increasing demand for electricity, coupled with the rise in greenhouse gas emissions,
necessitates the integration of Renewable Energy Sources (RESs) into power grids …

AI-Protected Blockchain-based IoT environments: Harnessing the Future of Network Security and Privacy

AM Ruzbahani - arXiv preprint arXiv:2405.13847, 2024 - arxiv.org
Integrating blockchain technology with the Internet of Things offers transformative
possibilities for enhancing network security and privacy in the contemporary digital …

Blockchain Sensor Network Based CPS Analysis in Healthcare System for Real Time Applications Using 6G IoT Model and Deep Learning Techniques

S Liao - Wireless Personal Communications, 2024 - Springer
A cyber-physical system (CPS) combines communication and computer systems with
physical processes. Recent developments in wireless sensor networks (WSN), cloud …

Cyber fraud as a threat to the sustainable development of the health care system: a systematic bibliometric analysis

Т Доценко, М Кузьменко - Сталий розвиток економіки, 2023 - economdevelopment.in.ua
There is a growing wave of cyber fraud in the healthcare industry. Cases of breaches of
confidentiality and security, leakage, theft and breach of medical confidential data, and …