Collaborative driving, in which autonomous vehicles cooperate with other vehicles and roadside infrastructure to improve safety, perception, and traffic efficiency, is emerging as a key paradigm for next-generation transportation systems. While such...
Food-security issues remain essential for decision-makers at all levels in sub-Saharan Africa (SSA), and youth-oriented food-security policies in Ghana are no exception. While there are no “one-size-fits-all” policy pathways to eradicate...
Water, energy, and food are essential resources for humanity. The growing shortages of these resources and serious deterioration of river environments are having a big impact on the sustainable development of the economy and society in China. Water,...
Narrowing the food supply-demand gaps between urban and rural areas within a regional space has today become a serious challenge due to the growing urban population. Resultantly, urban markets are increasingly being dominated by industrial food chain...
Collaboration between researchers and society is essential when addressing challenging 21st Century questions. Such collaboration often comprises international, inter- and trans-disciplinary teams, as well as temporal constraints, resulting in inhere...
Cloud computing plays a major role in sharing data and resources to other devices through data outsourcing. During sharing resources, it is a challenging task to provide access control and secure write operations. The main issue is to provide secure...
As industries develop and informatization accelerates, enterprise collaboration is increasing. However, current architectures face malicious attacks, data tampering, privacy issues, and security and efficiency problems in information exchange and ent...
Current cloud–edge collaboration collaboration architectures face challenges in security resource scheduling due to their mostly static nature, which cannot keep up with real-time attack patterns and dynamic security needs. To address this, thi...
In recent years, the large-scale integration of new power distribution technologies such as distributed power generation, electric vehicles, and flexible load control has led to a sharp increase in the operating pressure of the power cloud master sta...
Traffic congestion results from the spatio-temporal imbalance of demand and supply. With the advances in connected technologies, incentive mechanisms for collaborative routing have the potential to provide behavior-consistent solutions to traffic con...
Localization is one of the hottest research topics in Underwater Wireless Sensor Networks (UWSNs), since many important applications of UWSNs, e.g., event sensing, target tracking and monitoring, require location information of sensor nodes. Nowadays...
The road transport sector is currently facing significant challenges, due in part to CO2 emissions, high fuel prices, and a shortage of staff. These issues are partially caused by more than 40% of truck journeys being “empty runs” in some...
Satellite-aided multi-unmanned aerial vehicle (UAV) collaborative localization systems combine the extensive coverage of satellites with the flexibility of UAVs, offering new opportunities for locating highly dynamic emitters across large areas. Howe...
Unmanned aerial vehicles (UAVs) are expected to serve as core nodes for next-generation communication networks, while the broadcast nature of line-of-sight (LoS) links makes the security of transmissions a server problem, which is more prominent for...
With the development of unmanned aerial vehicle (UAV) technology, multimachine collaborative operations have become the core model for increasing mission effectiveness. However, large-scale UAV clusters face challenges such as dynamic security threat...
Intending to enable a broader collaboration with the scientific community while maintaining privacy of the data stored and generated in Living Labs, this paper presents the Shareable Data Publishing and Access Service for Living Labs, implemented wit...
In response to the changing international landscape and the risks associated with China’s supply chain security, conducting policy simulations on semiconductor supply chain security helps clarify the industry’s policies and governance str...
Augmented reality (AR) has gained enormous popularity and acceptance in the past few years. AR is indeed a combination of different immersive experiences and solutions that serve as integrated components to assemble and accelerate the augmented reali...
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Modern healthcare systems require collaborations between individual social entities such as hospitals, medical centers, emergency services and community services. One of the most critical issues in this setting is security and privacy, i.e., who can...
With the increasing demand for intelligent services of the Internet of Things (IoT), its security issues have attracted widespread attention recently. Since most of the existing identity authentication policies are based on a single authentication mo...
Enhancing system strength to ensure voltage security has become a critical challenge for power systems with high penetration of renewable energy (RE). As China accelerates its clean-energy transition, the conventional grid dominated by synchronous ge...
Cyberattacks are becoming increasingly sophisticated and severe, and an organization’s protection depends on its weakest member. Although users are aware of the risks in cyberspace, most of them do not follow best practices, and there is a need...
To address the issues of low intelligence and weak knowledge support in traditional water resource security risk analysis and response strategy generation, this paper proposes a novel framework based on hybrid retrieval augmentation and multi-agent c...
Security assessment of ironmaking plants is one of the crucial means to promote their sustainable development. However, the disparate nature of subsystems within these plants, along with network inconsistencies and isolated data, obstruct a thorough...
Background: The COVID-19 lockdown posed unprecedented psychological challenges worldwide. In Spain, Mutual Collaborators with Social Security manage work-related disabilities, including mental health cases. Objectives: To describe and analyze work-re...
The recent development in IoT and 5G translates into a significant growth of Big data in 5G—envisioned industrial automation. To support big data analysis, Deep Learning (DL) has been considered the most promising approach in recent years. Note...
Fifth generation (5G) wireless networks promise to revolutionize the way we communicate and connect to the internet. However, as with any new technology, 5G networks also bring new security challenges that need to be addressed. One of the key areas o...
The integration of artificial intelligence (AI) and blockchain technology opens new avenues for decentralized, transparent, and secure data-driven systems. However, ensuring privacy and verifiability in collaborative AI environments remains a key cha...
Public-security policy is commonly assessed through operational outputs and crime-related indicators, yet policy performance also depends on the administrative and governance arrangements through which priorities are diagnosed, coordinated, implement...
The continuous integration of automated tools into security operation centers (SOCs) increases the volume of alerts for security analysts. This amplifies the risk of automation bias and complacency to the point that security analysts have reported mi...
The rapid growth of sensitive labeled data in healthcare, finance, user profiling, and commercial databases has created increasing demand for privacy-preserving collaborative data validation across different organizations. Following prior cryptograph...
This paper aims to analyze the intellectual structure and research fronts in application information security in smart cities to identify research boundaries, trends, and new opportunities in the area. It applies bibliometric analyses to identify the...
Focusing on the diversified demands of location privacy in mobile social networks (MSNs), we propose a privacy-enhancing k-nearest neighbors search scheme over MSNs. First, we construct a dual-server architecture that incorporates location privacy an...
The precipitation pattern in South Africa is unpredictable and irregularly distributed across the nine provinces. Water resources support agriculture, mining activities, and other social and economic activities in the country. Nevertheless, South Afr...
End-user devices and applications (data locations) are becoming more capable and user friendly and are used in various Health Information Systems (HIS) by employees of many health organizations to perform their day to day tasks. Data locations are co...
As crucial transportation hubs and economic nodes, the underwater security and infrastructure maintenance of harbors are of paramount importance. Harbors are characterized by high vessel traffic and complex underwater environments, where traditional...
With the rapid deployment of intelligent transportation systems (ITS), the Internet of Vehicles (IoV) has become an increasingly vital component in the development of smart cities. However, the openness of IoV also gives rise to critical issues such...
BIM collaborative design involves numerous participants from various specialties who create and share vast amounts of design data at different design stages to ensure the efficient transmission of design data between these specialties. It is imperati...
The Internet of Things provides manufacturing with rich data for increased automation. Beyond company-internal data exploitation, the sharing of product and manufacturing process data along and across supply chains enables more efficient production f...
The rapid digitalization of transportation systems has expanded the cyberattack surface of critical infrastructure while exposing significant shortages in transportation-specific cybersecurity workforce capacity. Existing workforce studies rarely int...
Video anomaly detection is critical for information security in IoT-based intelligent surveillance, where heterogeneous sensors continuously measure the physical environment and anomalies manifest as deviations from learned normal behavior. Existing...
Machine learning usually requires a large amount of training data to build useful models. We exploit the mathematical structure of linear regression to develop a secure and privacy-preserving method that allows multiple parties to collaboratively com...
Urban agglomerations in plateau regions often face severe landscape fragmentation and cross-boundary ecological pressures, highlighting the need for coordinated eco-logical planning for sustainable urban development. We coupled species–landscap...
The increasing frequency of global energy crises, economic instability, environmental challenges, and geopolitical conflicts has been accompanied by changes in renewable energy research over the past three decades. This study presents a MATLAB R2024a...
Self-supervised knowledge distillation is widely used to compress reusable encoders, but an untrusted distillation implementation can itself become an attack surface. We study an algorithm-level threat in which the teacher encoder and user-visible di...
Urban water-ecological governance in the Yellow River Basin is shifting from a single administratively dominated model toward a polycentric collaborative system. However, ambiguous responsibilities and overlapping tasks among governments, enterprises...
Diabetes is a global epidemic with severe consequences for individuals and healthcare systems. While early and personalized prediction can significantly improve outcomes, traditional centralized prediction models suffer from privacy risks and limited...
Chrome extensions are increasingly exploited as an attack surface, yet existing static malware detectors share a critical blind spot: they analyze JavaScript but cannot inspect WebAssembly (Wasm) or reason across the Wasm–JS boundary. We exploi...
In recent years, the interplay between AI agents and blockchain has enabled secure and scalable collaboration among multi-agent systems, promoting unprecedented levels of autonomy and interoperability. AI agents play a vital role in facilitating comp...
The node–edge–cloud collaborative computation paradigm has introduced new security challenges to data sharing. Existing data-sharing schemes suffer from limitations such as low efficiency and inflexibility and are not easily integrated wi...
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