Keping Yu

• Doctor of Science
• Research Associate at Waseda University

This survey reviews the phenomenon of rumor propagation in social networks, defining rumors and their manifestations, and highlighting the societal confusion, panic, and harm they cause. It explores the psychological, social, and technical factors contributing to rumors and their impact on reputation, panic, and decision-making. The review covers t...

Modern transportation networks, with their complexity and dynamic nature, have a substantial demand for intelligent vehicles. Developing effective production strategies for smart vehicles is essential to reducing both production costs and energy consumption. Traditional vehicle production planning has largely depended on heuristic algorithms and so...

To accommodate the proliferation of Internet-of-Things (IoT) applications, next-generation wireless communication networks, particularly the sixth-generation (6G), are expected to offer excellent support for the massive access of machine-type communication (MTC). In this paper, we investigate the grant-free random access (GFRA) employing orthogonal...

Mobile Edge Computing (MEC) is a distributed computing paradigm that provides computing capabilities at the periphery of mobile cellular networks. This architecture empowers Mobile Users (MUs) to offload computation-intensive applications to large-scale computing nodes near the edge side, reducing application latency for MUs. The resource allocatio...

Sentiment propagation plays a crucial role in the continuous emergence of social public opinion and network group events. By analyzing the maximum Influence of sentiment propagation, we can gain a better understanding of how network group events arise and evolve. Influence maximization (IM) is a critical fundamental issue in the field of informatic...

The capability to share data across different entities is increasingly pronounced in our data-driven and centric society. However, we also have to ensure properties such as data confidentiality, unforgeability, anonymity and traceability are supported in the solutions we deploy. Hence, in this paper we present an ID-based ring signcryption scheme....

This paper addresses long-term energy efficiency in a wireless power transfer-enabled mobile-edge computing (MEC) system, facing challenges from time-varying channels and stochastic task arrivals. We formulate the problem to optimize offloading, power transfer duration, and energy consumption while ensuring queue stability. We propose a novel Lyapu...

Healthcare systems, empowered by the integration of Artificial Intelligence (AI) and Internet of Things networks, are undergoing significant advancements, ushering in a new era of enhanced treatment experiences and improved quality of life. Edge computing plays a pivotal role as an architectural enabler; however, it also presents numerous energy-re...

Cellular vehicle-to-everything (C-V2X) can provide ubiquitous mobile computing and communication services for vehicles, acting as a key technology to realize future urban intelligent transportation systems (ITS). Due to the lack of long-term insight into complex and dynamic urban road states, the existing historical road information-based strategie...

The deep vision sensing has been a practical tool in early disease detection, and this work aims at an important branch of ocular disease recognition. Although a number of researchers had paid attention to it during past years, fine-grained ocular feature extraction always remains a challenge. To handle with this issue, this work benefits from comp...

Under the framework of Cellular-Vehicle-to-Everything (C-V2X) technology, although vehicles can avoid potential risks and improve traffic efficiency, shared vehicle data may have defects or faults due to inevitable environmental noise or potential sensor failures, which could pose dangers to drivers. Therefore, detecting anomalies in data transmitt...

Intelligent detection techniques for Online spamming have been a hot concern in academia. Although much technical progress has been achieved in recent years, two aspects of challenges are still confronted by scholars. For one thing, spamming activities are accompanied by multisource attributes such as behaviors, semantics, etc. For another, spammin...

Intelligent Transportation Systems (ITS) aim to enhance traffic management by improving connectivity and data sharing among vehicles and road infrastructure. In a Mixed Connected and Connectionless Vehicles (MCCV) scenario consisting of connected vehicles equipped with On-Board Units (OBUs) and non-connected vehicles lacking OBUs, communication dis...

The space-air-ground integrated network (SAGIN) is a critical part of the 6G network and has recently attracted researchers' attention. Compared to traditional ground network, SAGIN has a wide coverage area and enables seamless Internet access for users worldwide. However, due to its structural complexity, diverse services, and the heterogeneous na...

To enable resource-constrained wireless devices (WDs) to process computation-intensive and latency-sensitive computation tasks, the wireless powered mobile edge computing (WP-MEC) network has been proposed as a promising approach. Incorporating mobile cloud computing in the WP-MEC network, we investigate the wireless powered mobile edge-cloud compu...

Wireless powered mobile edge computing (WP-MEC), which combines mobile edge computing (MEC) and wireless power transfer (WPT), is a promising paradigm for coping with the computing power and energy constraints of wireless devices. However, how to realize the online optimal offloading decision and resource allocation in the WP-MEC system is very cha...

Unmanned aerial vehicles (UAVs) play a crucial role in remote environmental applications of the Low-Power Internet of Things (IoT) network. However, the interaction between a large number of consumer electronics products integrated with TinyML (CEP-TML) may lead to serious interference and overlap issues in Low-Power IoT networks, which still pose...

In unmanned aerial vehicle (UAV)-enabled Internet of Things (IoT) networks, the communication ranges between densely deployed IoT devices overlap, resulting in wireless resource conflicts between them. Hence, achieving conflict-free resource allocation is a challenging issue that must be urgently addressed for UAV-enabled IoT networks. To tackle th...

Intelligent transportation systems (ITS) utilize advanced technologies to enhance traffic safety and efficiency, contributing significantly to modern transportation. The integration of Vehicle-to-Everything (V2X) further elevates road safety and fosters the progress of ITS through enabling direct vehicle communication and interaction with infrastru...

Supporting Mobile Edge Computing (MEC) in satellite-terrestrial networks (STN) provides essential offloading services for devices for the Internet of Things (IoT) devices in remote areas. However, when terrestrial demands for computing resources are high, the MEC servers on visible LEO satellites may suffer from insufficient capacity, while those o...

As the number of devices increases dramatically in the Internet of Things (IoT), features of dense deployment of massive devices generate mutual interference in communication overlapping areas, which will impose an imperative challenge on spectrum resource allocation. To handle this challenge, this paper proposes a mutual interference-aware through...

In context of 6G mobile computing, the combination of industrial Internet of Things (IoT) and machine learning extends intelligent sensing ability to improve industrial operation efficiency. In conventional operation of sewage treatment process (STP), manipulators often made excessive aeration amount in treatment process, in order to reach environm...

As information technology rapidly advances, 5G technology, Radio Access Networks (RAN), and the Internet of Things (IoT) have emerged as the core elements of next-generation communication technology. There is an increasing demand for real-time communication and reduced latency in various applications. Therefore, this paper proposes a four-layer Mob...

Effective data management schemes have always been the major demand in universal industrial Internet of Things (IoT) systems, especially in resource-constrained scenarios. In realistic wastewater treatment process (WTP), only limited monitoring data resource can be available due to some digital constraint. Aiming at this practical issue, this work...

In recent years, data-driven remote medical management has received much attention, especially in application of survival time forecasting. By monitoring the physical characteristics indexes of patients, intelligent algorithms can be deployed to implement efficient healthcare management. However, such pure medical data-driven scenes generally lack...

For the future 6G-enabled massive Internet of Things (mIoT), how to effectively manage spectrum resources to support huge data traffic under the large-scale overlapping caused by the dense deployment of massive devices is the imperative challenge. In this paper, a novel hypergraph interference model is designed, and two reinforcement learning (RL)-...

With the development of internet of things (IoT) technology and its wide application in urban traffic, the next-generation vehicle-to-everything (V2X) communication network should support high-capacity, ultra-reliable, and low-latency massive information exchange to provide unprecedentedly diverse user experiences. The development of the sixth-gene...

Artificial intelligence enhanced Internet of unmanned aerial vehicles (UAVs) is a promising network to achieve the complicated vehicular tasks and construct intelligent communication networks. One of the critical tasks is to guarantee a secure network access while achieving trade-off between accuracy and latency through lightweight deployment on re...

Existing infrared small target detection algorithms often lack adaptability in complex scenes and heavily rely on parameter configurations. To address this limitation, we propose a novel infrared small target detection method based on adaptive region growing algorithm with iterative threshold analysis that leverages the homogenous compactness of th...

In recent years, concomitant with the rapid advancements in large models (LMs) technologies within the field of artificial intelligence (AI), the domain of intelligent Internet of Vehicles (IoV) network has also experienced swift progress. Those potential applications such as autonomous driving, intelligent driver assistance systems, personalized d...

The Consumer Internet of Things (CIoT) integrates the advantage of Internet of Things (IoT) technologies to provide convenience in consumers’ daily lives. With the rapid development of the CIoT, data collected from consumer smart devices has increased exponentially. In the CIoT, web pages, as internet information carriers, offer spammers opportunit...

Nowadays, the importance of Quality of Experience (QoE) has gained increasing attention from online consumers. For service providers, developing effective sentiment analysis approaches is essential to accurately capture and understand the emotional characteristics of consumers, thereby enhancing consumer QoE. However, existing research often encoun...

The unmanned aerial vehicle-assisted 6G supported intelligent transportation systems (UAV-assisted 6G-ITS) have great potential to make transportation systems efficient, smart, and sustainable. However, when connected and autonomous vehicles communicate with UAVs, it can lead to issues such as energy consumption and overlapping interference, which...

The vehicle road cooperation system is designed to enable intelligent and collaborative communication between vehicles and vehicles, infrastructure, and pedestrians to reduce road accidents and improve road efficiency. As a critical component of this, vehicle-to-vehicle (V2V) communication is expected to achieve efficient information interaction be...

Existing deep learning-based circuit design methods mostly focused on the primary matching of the model itself or circuit data, lacking generalizability and ignoring deep representation of electromagnetic coupling effects in coupled circuits. Therefore, it exhibits difficulties to further improve the accuracy in circuit performance prediction and r...

IoT-enabled consumer electronics can collect and analyze data to improve functionality and user experiences, increasingly becoming part of edge computing networks. Decentralized federated learning is envisioned as a promising AIoT framework to leverage the data generated by these interconnected consumer electronics without compromising user privacy...

To realize energy efficient communication coverage enhancement for cooperative unmanned aerial vehicles (UAVs) communications equipped with multi-beam array antennas, a nested multi-objective mixed integer non-convex model is established to determine the optimal association between user sets and UAV beams as well as the optimal position of UAVs, to...

Artificial Intelligence (AI) empowers consumer electronics, making daily life more convenient, but it also introduces potential privacy risks. Governments worldwide have implemented stringent data regulations to protect individual privacy. Federated Learning (FL) helps AI comply with these regulations and continuously evolve in consumer electronics...

Unmanned aerial vehicle (UAV) has been considered a promising technology for advancing terrestrial mobile computing in the dynamic environment. In this research field, throughput, the number of completed tasks and latency are critical evaluation indicators used to measure the efficiency of UAVs in existing studies. In this paper, we transform these...

With the advancement of big data technology, deep learning automatic modulation recognition (DLAMR) has undergone new improvements. Existing DLAMR methods focus mostly on the primary matching of the model itself or ubiquitous big communications data, which lack interpretability and ignore deep representations for the modulation mechanism of the com...

With the rising demand for intelligent services and privacy protection in consumer artificial intelligence (AI), federated edge learning has emerged as a beacon for privacy-preserving distributed machine learning. This non-centralized approach offers distinct data privacy advantages, making it especially suitable for applications with strict privac...

With the widespread adoption of the Internet of Things (IoT) and various smart medical devices, the volume of medical data has dramatically increased, making the processing of medical Internet of Things (IoMT) data increasingly challenging. Due to the integration of edge computing and cloud computing, IoMT can allocate increased computing and stora...

Telemedicine Monitoring (TM) integrates mobile communication technology and Internet of Things (IoT) technology for health monitoring and data management. Amidst the escalating demand for telemedicine, traditional cloud computing struggles to guarantee real-time performance and data privacy. To address these challenges, we systematically survey the...

The internet of vehicles (IoV) is playing a pivotal role in advancing intelligent transportation systems. Deploying the unmanned aerial vehicles (UAVs) as edge nodes in IoV networks has emerged as a promising solution to enhance the communication coverage and energy efficiency (EE). However, the existing UAV deployment and resource allocation strat...

Cell-free massive multiple-input multiple-output (CF-mMIMO) and multi-function reconfigurable metasurfaces are two potential technologies for coping with 6G demands. Their coexistence, also called cell-free reconfigurable metasurfaces (CFRM) communications, contribute to enhancing wireless network performances in an energy-and-hardware-efficient ma...

Virtual reality (VR) is an important landing scenario for 5G and a key enabling technology for the digital economy, and the core challenge it faces is how to ensure real-time interaction and content distribution efficiency. Existing solutions rely on adaptive delivery, overall content edge caching, or asynchronous rendering in the cloud, with drawb...

A smart city involves big data transmission (BDT) between smart systems, which increases queue delays and leads to difficulty in enhancing the spectral efficiency. Adaptive modulation is an effective technique for enhancing data transmission rates in smart systems. However, traditional adaptive modulation approaches are not suitable for BDT in smar...

Internet of Vehicles (IoV) has attracted global research interests across extensive applications. Due to the significant increase in the number of vehicles accessing the Internet, there are several challenges in designing efficient task offloading and data caching strategies to improve the utilization of the network resource and provide the users w...

The Internet revolution and Moore’s Law drove the rapid expansion of connected consumer electronics. As massive data is generated by Internet of Things (IoT) devices, edge computing has been developed and applied in consumer electronics to provide agile and real-time services. In this paper, we provide an overview of artificial intelligence-empower...

Internet-of-vehicles (IoV) is an emerging paradigm with significant potential to improve traffic efficiency and driving safety. Here, we focus on the design of a novel visible light communication (VLC)-assisted scheme to enable driving safety-related IoV services that require ultra-reliable and low-latency communications (URLLC). Specifically, the...

This paper focuses on the energy-efficient physical random access channel (PRACH) design for self-powered sensors integrated satellite internet of things (S-IoT), where two novel preamble design schemes are proposed by jointly considering cubic metric (CM) reduction, coverage enhancement, resistance to carrier frequency offset (CFO), and low-comple...

Device to device (D2D) is becoming one of the critic technologies of green smart cities. The uplink power allocation is investigated, when D2D users reuse subchannels of cellular users. The overall goal lies in minimization of energy consumption under guarantee of required data transmission rate, which belongs to a nondeterministic polynomial (NP)...

The rumors in the healthcare system have the attributes of fast spread and severe social influence. Even worse, it may cause the collapse of medical services and the death of many patients. To prevent its serious impact on society, the target of rumor suppression for the healthcare system is to restrain the spread of rumors (negative opinions) and...

Federated learning (FL) is receiving much attention in the Healthcare Internet of Things (H-IoT) to support various instantaneous E-health services. Today, the deployment of FL suffers from several challenges, such as high training latency and data privacy leakage risks, especially for resource-constrained medical devices. In this paper, we develop...

Accurate traffic flow forecasting is crucial to improving traffic safety and alleviating road congestion for intelligent transportation network management. Recently, spatial-temporal graph-based deep learning methods have achieving significant performance improvements in traffic flow forecasting. However, they only consider spatial-temporal correla...

Edge caching has emerged as a promising approach to meet explosive mobile data on 6G networks. One critical issue in edge caching is file popularity prediction. The federated learning (FL) based distributed algorithm is used to predict file popularity, which solves user privacy issues in centralized algorithms. However, due to the heterogeneity of...

Cyber-physical systems (CPS) offer integrated resolutions for various applications by combining computer and physical components and enabling individual machines to work together for much more excellent benefits. The ad hoc based CPS provides a promising architecture due to its decentralized nature and destructive-resistance. A growing number of in...

#cfp Cyber-Physical #security for #iot Systems Abstract submission deadline 30 June 2023 https://www.mdpi.com/topics/ZJUOQ8OK1S #editors Keping Yu Chinmay C

As a promising technique of resisting steganalysis detection, generative steganography usually generates a new image driven by secret information as the stego-image. However, it generally encodes secret information as entangled features in a non-distribution-preserving manner for the stego-image generation, which leads to two common issues: 1) limi...

Secret Image Sharing (SIS) is the technology that shares any given secret image by generating and distributing n shadow images in the way that any subset of k shadow images can restore the secret image. However, in the existing SIS schemes, the shadow images will be easily tampered and corrupted during the communication, which will pose serious...

In existing Secret Medical-Image Sharing (SMIS) schemes, to protect and manage secret medical-images (SMIs), the sharing and recovery of each SMI are implemented by local servers of medical institutions. However, since a lot of SMIs are produced by personal smart terminal devices in Internet of Things (IoT) environment, directly implementing the sh...

The Finance-level Artificial Intelligence of Things (AIoT) is going to become a novel media in the 6G-driven digital society. Inside the financial AIoT environment, large-scale crowd credit assessment with the guarantee of low latency has been a general demand. Facing limited computational resources, there is still a lack of effective computation o...

In Industrial Cyber-Physical Systems (ICPS), real-time condition monitoring of wear-prone components of steel rolling production equipment is a key scenario for predictive maintenance. Machine vision-based crack detection can quickly identify critical damage and prevent unplanned downtime. However, the harsh working environment poses difficulties f...

Fake news detection has been a more urgent technical demand for operators of online social platforms, and the prevalence of deep learning well boosts its development. From the model structure, existing research works can be categorized into three types: convolution filtering-based neural network approaches, sequential analysis-based neural network...

In the ongoing 5G and upcoming 6G eras, the intelligent Internet of Things (IoT) network will take increasingly important responsibility for industrial production, daily life and so on. The IoT devices with limited battery size and computing ability cannot meet many applications brought out by the data-driven artificial intelligence technique. The...

Non-terrestrial networks (NTNs) are expected to play a pivotal role in the future wireless ecosystem. Due to its high-dynamic characteristics, the accurate estimation and compensation of carrier frequency offset (CFO) are crucial for supporting 5G new radio (NR) enabled satellite direct access. With emphasis on ensuring reliable uplink synchronizat...

With the maturity of 5G and Intelligent Transportation Systems (ITS) technologies and the prospect of Beyond 5G (B5G) and 6G technologies, the limited lifetime and computing of mobile devices pose significant challenges to Quality of Service (QoS). In addition, the problem of inefficient use of computing, storage, communication, and other resources...

In the distributed Cognitive Industrial Internet of Things (CIIoT), since industrial devices may self-organize to determine their connection and dispersion and the network may be distributed with no infrastructure, network management with self-organizing characteristics is still an unsolved and a difficult problem. To overcome this challenge, this...

The urban sensing provides a fundamental computing environment for smart cities, in which ubiquitous vehicular networks are an important component. Due to the limitation of urban sensing resource, roadside units (RSU) are sparsely deployed in freeway-oriented vehicular networks. Thus, communication resources cannot cover all the vehicles everywhere...

In this paper, we propose a platoon access authentication system for initial access process in autonomous vehicle platoons (AVPs) in which post-quantum encryption and signal processing techniques are employed to protect against both active and passive cyber-physical attacks. To avoid passive quantum cyber attacks, a quasi-cyclic moderate-density pa...

Driven by the ever-increasing requirements of autonomous vehicles, such as traffic monitoring and driving assistant, deep learning-based object detection (DL-OD) has been increasingly attractive in intelligent transportation systems. However, it is difficult for the existing DL-OD schemes to realize the responsible, cost-saving, and energy-efficien...

The Industrial Internet of Things (IIoT) is the essential component of Industry 4.0. Blockchain is a promising technology for secure data sharing and trustable cooperation between IIoT devices. However, the ever-growing transaction records make it difficult for the storage-limited IIoT devices to join the blockchain network. In this article, an ada...

Binary asteroid exploration is an important research focus in the areas of deep space exploration and space informatics because of its unique scientific value in analyzing the structure and gravitational dynamic properties of asteroids, as well as the origin and evolution of celestial bodies in the solar system. Remote photometric observations can...

With the rapid development of Industry 4.0, the industrial cyber-physical systems (ICPS) are expected to realize the digital sensing, automatic control, and refined management in smart factories. However, limited bandwidth resources and severe industrial interference make it difficult to meet the real-time and ultrahigh reliability in edge computin...

With the sustainable development being a consensus in human society, assessment of healthy development index in urban cities (HDI-UC) has been a hot concern in academia. Existing research works had proposed some assessment models from the perspective of sociology. However, these approaches can just assess HDI-UC values of current year and past year...

A non-orthogonal multiple access (NOMA)-enabled double-layer airborne access vehicular ad hoc networks (DLAA-VANETs) architecture is designed in this paper, which consists of a high-altitude platform (HAP), multiple unmanned aerial vehicles (UAVs) and vehicles. For the designed DLAA-VANETs, we investigate the UAV deployment and network optimization...

The emerging non-orthogonal multiple access (NOMA) technology can effectively improve the throughput performance of Internet of Things (IoT) devices. Besides throughput maximization, ensuring throughput fairness is a practical design issue when implementing NOMA in wireless powered communication networks (WPCN). To this end, we investigate the join...

With the rapid increase of wireless application demand, 6G Wireless Systems need to further support the heterogeneous communication service contents with limited spectrum resources. Network slicing and cognitive radio are two promising technology to solve this problem. However, the network slicing in 6G wireless communication systems with uncertain...

Industrial Internet of Things (IIoT) facilitate private data collecting via (a broad range of) sensors, and the analysis of such data can inform decision making at different levels. Federated learning (FL) can be used to analyze the collected data, in privacy-preserving manner by transmitting model updates instead of private data in IIoT networks....

The next generation wireless network (NGWN) is undergoing an unprecedented revolution, in which trillions of machines, people, and objects are interconnected to realize the Internet of Everything (IoE). with the emergence of IoE services such as virtual reality, augmented reality, and industrial 5 G, the scarcity of radio resources becomes more ser...