The composite service is a popular service paradigm, in which service providers from various fields establish cooperative relationships for capability complementarity and value co-creation. However, due to the complex dependences on service value-...

The rapid growth and increasing popularity of cloud services have made effective resource management and energy consumption in data centers crucial. Virtual Machine (VM) consolidation is a widely adopted strategy to reduce energy consumption and ...

In order to understand the indoor energy-saving strategy optimization method of DDPG algorithm in air conditioning and heating system. Systems, this study proposes an indoor energy-saving strategy optimization method based on deep reinforcement ...

In recent years, ensuring the privacy of location-based services (LBSs) has become a central concern. While various privacy protection strategies have been proposed, user collaboration remains a standard and widely-used solution to address service ...

Federated learning enables collaborative data analysis without the need to share sensitive information among participants, addressing privacy concerns in domains such as healthcare and finance. However, current federated simulation environments ...

At present, there is a pressing need for data scientists and academic researchers to devise advanced machine learning and artificial intelligence-driven systems that can effectively tackle forthcoming security challenges. This is due to the rapid ...

The number and dynamic nature of web sites and mobile applications present regulators and app store operators with significant challenges when it comes to enforcing compliance with applicable privacy and data protection laws. Over the past several ...

Tracing the origin of digital images is a crucial concern in digital image forensics, where accurately identifying the source of an image is essential that leads important clues to investing and law enforcement agencies. Photo Response Non-...

Attack detection in cyber security systems is one of the complex tasks which require domain specific knowledge and cognitive intelligence to detect novel and unknown attacks from large scale network data. This research explores how the network ...

Various hospitals have adopted digital technologies in the healthcare sector for various healthcare-related applications. Due to the effect of the Covid-19 pandemic, digital transformation has taken place in many domains, especially in the ...

Corporate social responsibility (CSR) has gained a great deal of interest in recent years due to the need for information that can help many stakeholders (e.g., governments, investors, professional organizations, researchers, etc.) understand ...${\mathrm{}}_{}$

The emerging yet promising paradigm of the Social Internet of Things (SIoT) integrates the notion of the Internet of Things with human social networks. In SIoT, objects, i.e., things, have the capability to socialize with the other objects in the ...

Blockchain facilitates the education sector from its unique bundles of characteristics, like decentralization, immutability, reliability, transparency, traceability, security, and integrity. These characteristics improve the ecosystem’s ...

Many studies have exposed the massive collection of personal data in the digital ecosystem through, for instance, websites, mobile apps, or smart devices. This fact goes unnoticed by most users, who are also unaware that the collectors are sharing ...

Based on the virtualization technology and pushed by the softwarization paradigm and the actual demand for services and resources, commercial cloud data centers know an unprecedented expansion. The systematic presence of software and the services ...

Internet of Things (IoT) has become an essential technology in different daily life domains including health, industry and finance among many others. The implementation of IoT systems requires different underlying technologies such as applications,...

In today’s digital world, it is hard to imagine the Information Technology field without cloud computing as it saves millions of dollars every year and enables it to focus on its core business rather than on managing complex computing ...

A privacy policy describes the operations an organization carries out on its users’ personal data and how it applies data protection principles. The automated analysis of privacy policies is a multidisciplinary research topic producing a growing ...

While k-anonymous algorithms can effectively protect users’ private location information, the problem of selecting an appropriate location in the anonymous area to construct the k-anonymous area remains a significant one. When selecting real users ...