More and more networks are becoming reconfigurable: not just the routing can be programmed, but the physical layer itself as well. Various technologies enable this programmability, ranging from optical circuit switches to beamformed wireless connections and free-space optical interconnects. Existing reconfigurable network topologies are typically hybrid in nature, consisting of static and a reconfigurable

Collaboration is a keystone of defense in the field of cybersecurity. A collaborative detection system allows multiple collaborators or service providers to share their security-incident-response data, in order to effectively identify and isolate stealthy malicious actors who hide their traffic under the umbrella of legitimate Internet data transmissions. The fundamental challenge in the design of

EEG emotion recognition is one of the interesting and challenging tasks in the research based emotion human–computer interface system. In this paper, a multi-reservoirs feature coding continuous label fusion semi-supervised Generative Adversarial Networks(MCLFS-GAN) is proposed by using Permutation phase transfer entropy as the EEG signal feature. Firstly, the obtained features are encapsulated in

Periods of low load have been used for the scheduling of non-interactive tasks since the early stages of computing. Nowadays, the scheduling of bulk transfers—i.e., large-volume transfers without precise timing, such as database distribution, resources replication or backups—stands out among such tasks, given its direct effect on both the performance and billing of networks. Through visual inspection

The low-power Internet of Things (IoT) introduces lossy radio links with ultra-constrained frame sizes and high transmission cost for each byte. Information Centric Networking (ICN) is considered a promising communication technology in this regime, as it increases reliability by ubiquitous caching and eases transmission efforts by hop-wise forwarding. Common ICN layers such as NDN, however, were designed

The use of Internet of Things (IoT) is becoming increasingly common in agribusiness to increase food production capacity for the expanding global population. Recently, low-power wide-area networks (LPWANs) have been used in the development of IoT applications that require low power consumption and low data transmission rates. LoRaWAN is considered the most suitable communication network for LPWANs

As the core technology of the next generation mobile communication system, the development of 5G key technologies needs to be able to efficiently and effectively support massive data services. Aiming at the impact of massive data traffic on mobile communication networks in 5G communication systems, this paper proposes a 5G-oriented hierarchical distributed cloud service mobile communication system

In the aftermath of a large-scale disaster, such as an earthquake, existing telecommunication (e.g., cellular towers) and other public infrastructures (e.g., power lines, roads, etc.) are often severely damaged. This prevents the seamless exchange of situational awareness and rescue/relief based information between the volunteers, shelter points, and the coordination center. A temporary communication

The Internet of Things (IoT) has developed infrastructures and applications that generate large amounts of data. These data are usually yielded as streams, characterized for being continuous and infinite, and presenting the peculiarity of modifying their behavior over time. Due to the large capacity of storage, data processing, and provisioning of resources, such data are generally processed/analyzed

Mobile cloud computing has become an important technology for mobile services. It overcomes physical limitations of mobile devices towards flexible and scalable mobile services. When using mobile clouds, people usually upload and store their data in cloud servers, and access the data through mobile devices from anywhere. As the privacy of the sensitive data is the major concern of users, the data is

First, the key technologies of 5G heterogeneous wireless networks are introduced. Based on the 5G heterogeneous network fusion architecture, heterogeneous network technologies are used to achieve the integration between different access networks, so that they can cooperate with each other, coordinate interference, and improve spectrum resources. Utilization and transmission efficiency; At the same

Task offloading is a core function of mobile edge computing to make up shortage of energy in mobile terminal. Scholars deploy techniques including cloud servers to improve offloading process with hard time window constraints, as there is strict deadline, which is exclusive to the flexibility of users facing task time-out. To increase the flexibility, this paper examines the time-varying features of

In intelligent edge computing, the private data of users are partly or entirely outsourced to the intelligent edge nodes for processing. To enforce security and privacy on edge network, data owners encrypt their private data and outsource it. It is particularly important to carry out efficient search and update on encrypted data. In this paper, we propose a searchable scheme to solve these problems

Next-generation wireless networks have to be robust and self-sustained. Internet of things (IoT) is reshaping the technological adaptation in the daily life of human beings. IoT applications are highly diverse, and they range from critical applications like smart city, health-based industries, to industrial IoT. Machine learning (ML) techniques are integrated into IoT to make the network efficient

Searchable encryption schemes allow users to search encrypted data containing some keyword without decrypting the data. It protects the data privacy of data owners, meanwhile facilitates efficient data access in secure cloud storage service. Most of the existing schemes only considered the single-user setting, in which a user uploads his encrypted data and later performs searches on it. However, the

In the field of networking research, increased flexibility of new system architecture proposals, protocols, or algorithms is often stated to be a competitive advantage over its existing counterparts. However, this advantage is usually claimed only on an argumentative level and neither formally supported nor thoroughly investigated due to the lack of a unified flexibility framework. As we will show

The proliferation of massive Internet of Things (IoT) devices poses research challenges especially in unmanned aerial vehicles(UAV)-assisted IoT. In particular, the limited battery capacity not only restricts the life time of UAV-assisted IoT but also brings security vulnerabilities since computation-complex cryptographic algorithms cannot be adopted in UAV-assisted IoT systems. In this paper, artificial

The congestion window size distribution is important in TCP as it reveals the statistical variation of the sending rate. It also quantifies the network congestion conditions. A semi-Markov model is used to develop an accurate mathematical framework for solving for TCP congestion window size. The new model improves on the accuracy of a widely accepted mathematical model in the literature for the congestion

The computation and storage capacity of the edge device are limited, which seriously restrict the application of deep neural network in the device. Toward to the intelligent application of the edge device, we introduce the deep neural network compression algorithm based on knowledge transfer, a three-stage pipeline: lightweight, multi-level knowledge transfer and pruning that reduce the network depth

Recently, the consolidation of Social Network and the Internet of Things (IoT) acquiring appreciation and consideration among researchers due to its immense and adaptable behavior. Social Internet of Things (SIoT) comprehends the adequacy to support the inventive applications and network services with adept and persuasive demeanors. The author’s exertion for this research provides the subsistence to

Continuous technological progressions and huge investments are made for the realization of the various goals in the Internet of Things (IoT) driven networks. Internet of Medical Things (IoMT) being a part of IoT has made human living smarter. It is revolutionizing the healthcare industry and is providing a smarter healthcare framework to the people. The generic IoMT framework consists of the major

Given the relevance of smartphones for accessing personalized services in smart cities, Continuous Authentication (CA) mechanisms are attracting attention to avoid impersonation attacks. Some of them leverage Data Stream Mining (DSM) techniques applied over sensorial information. Injection attacks can undermine the effectiveness of DSM-based CA by fabricating artificial sensorial readings.The goal

IoT environment merges the digital and physical universes and enabling them to communicate real-time data It is crucial to constantly ensure that the user is not impersonated which brings a particular type of authentication known as continuous authentication. Therefore, this survey is primary attempt to present an overview about continuous authentication methods in IoT environment, where Blockchain-related

In the context of wide area networks (WANs) and software defined networking (SDN), reducing the communication delays experienced by the network devices is an important challenge whose solution requires a careful placement of controllers to decrease the end-to-end latencies. Although the majority of studies focusing on the controller placement problem (CPP) only consider the switch–controller propagation

Nowadays, with the continuous development of science and technology, the social demand for the network is more and more, and with the continuous expansion of the network scale, the complexity of the network is increasing day by day. How to locate the fault accurately and quickly from a large number of alarm information has become a problem. To solve this problem, we must use computer technology to

This paper investigates the resource allocation problem in orthogonal frequency division multiple access networks with multiple users. Different from most works that perform resource allocation based on each subcarrier, we consider the subcarriers are grouped into chunks due to simplicity of implementation. The objective is to maximize the users’ minimal transmission rate by adjusting the transmission

The work discusses the evolution of communication models and technological aspects for developing inclusive platforms. The paper gives illustrations and graphical presentations about components of the inclusive platform. An inclusive platform consists of fog devices that can collect the fitness data, geospatial data and mobile call details from the people who are in need of help from the government

Software-defined networking (SDN) is a revolutionary network architecture that separates the network control layer from the underlying equipment. Multiple controllers form a logically centralized control layer in large-scale networks, which raises the controller placement problem. Most of the research on latency-oriented controller placement optimized the delay between switches and controllers assuming

The protocols used in Wireless Sensor Networks are subject to very strict temporal synchronization constraints. Radio Duty Cycle (RDC) protocols in particular are characterized by their very high synchronization accuracy requirements. In these protocols, synchronization errors are primarily caused by the natural clock drift observed in real nodes. The impact of the clock drift on the desynchronization

This paper proposes a security integration model of mobile intelligent private data for edge computing. According to the characteristics of the heterogeneous network of edge computing networks, the network is layered according to the mobile intelligent private data structure. The homomorphism encryption algorithm is adopted to enable private data to be transmitted and stored in the form of ciphertext

Cloud radio access network (C-RAN) supports the explosion of Internet of Things (IoT) applications and the demand for massive access in 5G networks. However, centralized access of trustless operators causes severe malicious insider threats, such as maliciously tamper and accidentally delete data. Blockchain, a traceable and non-tamper distributed ledger maintained by all nodes, has been considered

Compared to Intrusive Load Monitoring which uses smart power meters at each level to be monitored, Non-Intrusive Load Monitoring (NILM) is an ingenious way that relies on signal readings at a single point to deduce the share of the devices that have contributed to the overall load. This reliable technique that guarantees the safety and privacy of individual users has recently become an increasingly

Wireless body area networks (WBANs) is a critical research focus at present, providing a reliable and smart healthcare system to monitor the physical condition of the patient. Only the authorized user can access the WBANs since the collected data is very personal and sensitive. In this paper, we present a certificateless signcryption scheme based on RSA and then design an efficient data access control

Fog computing is an emerging computing paradigm which expands cloud-based computing services near the network edge. With this new computing paradigm, new challenges arise in terms of security and privacy. These concerns are due to the distributed ownership of Fog devices. Because of the large scale distributed nature of devices at the Fog layer, secure authentication for communication among these devices

The Transmission Control Protocol (TCP) is one of the most important protocols in today’s Internet. It was designed to be extensible for various use cases. A client can propose to use an extension over a given TCP connection by sending a TCP option that identifies this extension. In practice, deploying a TCP extension is difficult as the maintainers of client stacks often wait until servers implement

Hash functions are widely used in high-speed network traffic measurement. A hash function of high quality is supposed to meet the requirements of collision free and fast execution. Existing works have already developed methods to generate hash functions for IPv4 data, while IPv6 data with much longer addresses and different data characteristics may decline the effectiveness of those methods. In this

Frequency estimation of physical symptoms for peoples is the most direct way to analyze and predict infectious diseases. In Internet of medical Things (IoMT), it is efficient and convenient for users to report their physical symptoms to hospitals or disease prevention departments by various mobile devices. Unfortunately, it usually brings leakage risk of these symptoms since data receivers may be untrusted

Unmanned Aerial Vehicle (UAV) has extensively been practiced in the military and civilian surveillance systems that access sensitive data over the cellular networks. However, channel insecurity and battery limitation may not protect the aerial coverage area. Thus, sensitive information gathered through aerial vehicles causes security threats. To manage the security issues, Smart Internet of Drone (S-IoD)

Over the last fifteen years, wireless local area networks (WLANs) have been populated on large variety of pervasive devices hosting heterogeneous applications. Pervasive edge computing has accelerated more distributed network applications for these devices, eliminating the round-trip to help in achieving zero latency dream. However, These applications require significantly variable data rates for effective

The Internet of Things is a system in which computing equipment, machinery, and digital machines are related to each other. It has a universal unique identification code (UID) and the ability to transmit data through the network without the need for human-to-human or human-to-device interaction. Augmented reality technology is a technology that ingeniously integrates virtual information with the real

With the rapid development of artificial intelligence and increasing data generated by end devices, the traditional cloud-centric data processing is gradually replaced by intelligent edge computing to achieve faster and nearer service via breaking the limit of network bandwidth and communication delay. However, training machine learning (ML) models on end devices is severely resource-constrained; besides

In recent years, the rapid development of edge computing enables us to process a wide variety of intelligent applications at the edge, such as real-time video analytics. However, edge computing could suffer from service outage caused by the fluctuated wireless connection or congested computing resource. During the service outage, the only choice is to process the deep neural network (DNN) inference

In this paper, we propose a multilevel segmentation methods of medical images based on the classical and quantum genetic algorithms. The Genetic Algorithm (GA) uses a binary coding while the Quantum Genetic Algorithm (QGA) uses the qubit encoding of individuals. The two evolutionary algorithms are employed to maximize efficiently Rényi, Masi and Shannon entropies for the purpose of multi-objects segmentation

In this work, we present COLiDeR, the first PHY/MAC cross-layer protocol for practical two-path relaying using off-the-shelf half-duplex radios. It relies on three main contributions. First, based on an off-line performance comparison, COLiDeR selects the best interference management technique for a radio to handle two overlapping signals depending on the measured channel conditions. Then, considering

An important security problem faced by wireless sensor networks (WSNs) is malware propagation. Traditional malware propagation models take less consideration of the impact of the attack and defense processes on malware propagation results. We analyzed the micro-mechanism of malware propagation in WSNs from the perspective of the game theory, established the attack–defense game model of WSNs, derived

Objective of this study is to introduce a secure IoHT system, which acts as a clinical decision support system with the diagnosis of cardiovascular diseases. In this sense, it was emphasized that the accuracy rate of diagnosis (classification) can be improved via deep learning algorithms, by needing no hybrid-complex models, and a secure data processing can be achieved with a multi-authentication and

For secure transmission of digital images, existing cryptographic algorithms transform coherent visual information into a noise-like appearance prompting an adversary of the presence of a possible cipher. This paper proposes an algorithm that produces a visually coherent and meaningful cipher image. The proposed algorithm consists of a permutation-substitution subroutine to obtain a partial cipher

In recent years, the Social Internet of Things (SIoT), which represents inseparable relationships between humans and devices, has become a hot research topic in wireless networks. As more heterogeneous devices will be connected, a higher frequency spectrum becomes a requirement. The cognitive radio (CR) technology can improve spectrum utilization in an opportunistic communication manner. However, dynamic

Sensor network, as one component of mobile edge computing (MEC), is a promising platform to provide services for users. With the development of artificial intelligence (AI) applications, the integration of mobile edge computing and AI unlocks unlimited possibilities in people’s daily lives. However, AI techniques and mechanisms specifically designed for the devices and servers operating in the mobile

In this paper, we propose flexible functional split schemes for a multi-tier C-RAN architecture based on the concept of virtual remote radio heads (V-RRHs), aiming at optimizing the resource utilization while reducing the overall cost of BBU pool. A V-RRH consists of a digital unit (DU) that hosts a few baseband (BB) processing functionalities and a radio unit (RU) with RF functionality. Specifically

With the continuous expansion of network scale and the increasing complexity of attack methods, traditional network security protection equipment has been unable to cope with large-scale network security detection and protection. However, most current operation and maintenance systems cannot reasonably evaluate and predict network security. In order to be able to evaluate and prevent the network security

In this paper, a loss minimization issue is proposed, which includes both cost of user power consumption and base station (BS) deployment. A multi-tier heterogeneous network (HetNet) is considered and modeled with random geometry of Poisson point process (PPP). BSs and users are distributed randomly following PPP with the specific densities. Cutoff threshold (ρk) as the average received power at the

The next generation fronthaul interface (NGFI) architecture has been specified recently in the IEEE P1914.1 standard for packet-based fronthaul transport networks. NGFI is a flexible and cost-effective solution developed for meeting stringent latency and throughput requirements of future centralized and virtualized radio access networks (C-RAN/vRAN) in the 5th generation mobile networks (5G). NGFI

Many compute-intensive network applications such as application-layer traffic generator, Deep Packet Inspection(DPI) and web servers are widely deployed on commodity PC for the reason of flexibility and cheap price. However, how to improve their performance on general purpose OS is challenging due to the high packet I/O related overheads. This paper presents PacketUsher, a high-performance packets

Femtocell deployment is one of the key solutions to achieve the high data rate of the fifth generation mobile communication. Nevertheless, dense femtocell networks face several challenging tasks such as interference control and resource management. In this paper, we address the problem of resource allocation for heterogeneous networks (HetNets), namely dense femtocell networks, by forming stable clusters

With the acceleration of modernization and the marked improvement in the quality of life, more and more people pay attention to their own health. Sports health has become the first choice for most people because of its natural and healthy way. Therefore, devices with step counting functions such as smart bracelets and smart phones came into being. This paper proposes a design method for measuring the

With 6G flagship program launched by the University of Oulu, Finland, for full future adaptation of 6G by 2030, many institutes worldwide have started to explore various issues and challenges in 6G communication networks. 6G offers ultra high-reliable and massive ultra-low latency while opening the doors for many applications currently not viable by today’s 4G and 5G communication standards. The current

The recent advancements in unmanned aerial vehicles (UAVs) upsurges its usages in commercial and civilian applications such as surveillance, rescue, and crowdsensing. UAVs are vulnerable to being destroyed, lost, or stolen in case of security breaches of its network. The network management of UAVs is a crucial task due to its high mobility, which necessitates UAV network softwarization. Then, it becomes

Sixth generation (6G) communication environment is unfolded in the recent years in order to provide high throughput less latency services for the mobile users. This environment encloses a variety of heterogeneous resources and communication standards to ensure seamless availability of services. In this open environment, security is a concerning issue due to heterogeneous standard integration and access