As one of the most important and famous applications of blockchain technology, cryptocurrency has attracted extensive attention recently. Empowered by blockchain technology, all the transaction records of cryptocurrencies are irreversible and recorded in blocks. These transaction records containing rich information and complete traces of financial activities are publicly accessible, thus providing

Wireless sensor networks include a large number of sensor nodes, which monitor an environment. These networks have many applications in Internet of Things (IoT) and Industrial IoT (IIoT). In wireless sensor networks, data aggregation methods are known as a suitable solution that can reduce energy consumption. In addition, these networks are subject to many attacks due to their wireless communications

Runtime environments for IoT data processing systems based on the actor model often apply a thread pool to serve data streams. In this paper, we propose an approach based on Reinforcement Learning (RL) to find a trade-off between the the resource (thread pool in server machines) usage and the quality of service for data streams. We compare our approach and the Thread Pool Executor of Akka, an open-source

In the last decades, researchers, practitioners and companies struggled in devising mechanisms to detect malicious activities originating security threats. Amongst the many solutions, network intrusion detection emerged as one of the most popular to analyse network traffic and detect ongoing intrusions based on rules or by means of Machine Learners (MLs), which process such traffic and learn a model

Current research on next generation network design has highlighted the challenges to be overcome before applications and services that require high capacity, low latency, and improved reliability can become the norm. Transport networking has a vital role to play in the delivery of the new and innovative applications and services that fully harness the next generation network architectures. The novel

The Internet of Things (IoT) is currently used in many wireless sensor network (WSN) applications. Conventionally, the WSN’s energy consumption is considered as one of the prime concerns. The energy consumption is mostly due to the sensing, data processing, communications and other wasted energies such as idle listening, collisions and overhearing. These sensor nodes are regularly powered by an external

There is a huge technological advancement in the field of wireless communication in the last few decades. Technology has revolutionized from voice communication to interactive multimedia applications. A tremendous increase in high data rate and connectivity demanding user equipment is observed. There is an immense need for new technological trends to satisfy the cutting edge requirements of 5G and

The emergence of Software Defined Network (SDN) provides a centralized and flexible approach to route network flows. Due to the technical and economic challenges in upgrading to a fully SDN-enabled network, hybrid SDN, with a partial deployment of SDN switches in a traditional network, has been a prevailing network architecture. Meanwhile, Traffic Engineering (TE) in the hydbrid SDN has attracted wide

As one of the key technologies of 5G wireless communication technology, cooperative multi-access edge computing allows one device to associate multiple edge nodes simultaneously, namely multi-association, which can provide scalable communication services with characteristics of high reliability, massive connectivity and low latency for promising Industrial Internet of Things (IIoT). Effective association

Social Networks' omnipresence and ease of use has revolutionized the generation and distribution of information in today's world. However, easy access to information does not equal an increased level of public knowledge. Unlike traditional media channels, social networks also facilitate faster and wider spread of disinformation and misinformation. Viral spread of false information has serious implications

Link prediction in complex networks is to discover hidden or to-be-generated links between network nodes. Most of the mainstream graph neural network (GNN) based link prediction methods mainly focus on the representation learning of nodes, and are prone to over-smoothing problem. This paper dedicates to the representation learning of links, and designs an edge convolution operation so as to realize

User authentication systems (in short authentication systems) have wide utilization in our daily life. Unfortunately, existing authentication systems are prone to various attacks while both system security and usability are expected to be satisfied. But the current research still lacks a thorough survey on various types of attacks and corresponding countermeasures regarding user authentication, including

Edge computing, as a new computing model, is facing new challenges in network security while developing rapidly. Due to the limited performance of edge nodes, the distributed intrusion detection system (DIDS), which relies on high-performance devices in cloud computing, needs to be improved to low load to detect packets nearby the network edge. This paper proposes a low load DIDS task scheduling method

Software-Defined Networking (SDN) is a networking paradigm that has redefined the term network by making the network devices programmable. SDN helps network engineers to monitor the network expeditely, control the network from a central point, identify malicious traffic and link failure in easy and efficient manner. Besides such flexibility provided by SDN, it is also vulnerable to attacks such as

Providing a high-performance Intrusion Detection System (IDS) can be very effective in controlling malicious behaviors and cyber-attacks. Regarding the ever-growing negative impacts of the security attacks on computer systems and networks, various Artificial Intelligence (AI)-based techniques have been used to introduce versatile IDS approaches. Deep learning is a branch of AI techniques, mainly based

There is a rapid increase in the adoption of emerging technologies like the Internet of Things (IoT), Unmanned Aerial Vehicles (UAV), Internet of Underground Things (IoUT), Data analytics in the agriculture domain to meet the increased food demand to cater to the increasing population. Agriculture 4.0 is set to revolutionize agriculture productivity by using Precision Agriculture (PA), IoT, UAVs, IoUT

Software-defined networking (SDN) is a network paradigm that decouples control and data planes from network devices and places them into separate entities. In SDN, the controller is responsible for controlling the logic of the entire network while network switches become forwarding elements that follow rules to dispatch flows. There are, however, several limitations in such a paradigm, as compared

Online social networks provide an opportunity to spread messages and news fast and widely. One may appreciate the quick spread of legitimate news and messages but misinformation can also be spread quickly and may raise concerns, questioning reliability and trust in such networks. As a result, detecting misinformation and containing its spread has become a hot topic in social network analysis. When

Recent studies have revealed that the energy hole problem caused by multi-hop data collection in a static data collector based wireless sensor network(WSN) is a major threat to the lifetime of the network. With the advancement of mobile terminal technology, the application of mobile data collectors (MDCs) has gained popularity in a large scale WSN. A WSN design with one or more MDC can significantly

Although wireless networks are becoming a fundamental infrastructure for various control applications, they are inherently exposed to network faults such as lossy links and node failures in environments such as mining, outdoor monitoring, and chemical process control. In this paper, we propose a proactive fault-tolerant mechanism to protect the wireless network against temporal faults without any explicit

Information-Centric Networking (ICN) uses content name to replace traditional IP address where data becomes independent from location, application, storage, and means of transportation. Due to the complex structure and variable length of content names, designing efficient content name lookup algorithms becomes a new challenge. In this paper, we propose an efficient name lookup structure for ICN, called

In the era of big data, increasingly massive volumes of data is generated and published consecutively for both research and commercial purposes. The potential value of sensitive information also attracts interest from adversaries and thereby arises public concern. Current research mostly focuses on privacy-preserving data publishing in a statistic manner rather than taking the dynamics and correlation

With the increasing use of the Internet of Things (IoT) in various fields and the need to process and store huge volumes of generated data, Fog computing was introduced to complement Cloud computing services. Fog computing offers basic services at the network for supporting IoT applications with low response time requirements. However, Fogs are distributed, heterogeneous, and their resources are limited

Recently, the rapid growth of network resources and the cybersecurity issues become more and more rigorous due to the rapid progress of Internet of Things (IoTs). How to integrate the network resources and enhance the defense capabilities effectively is an urgent problem. In this paper, inspired by the spread of friendly worms in the network, we put forward a novel concept of worm computing which is

Knowledge Graphs (KGs) have made a qualitative leap and effected a real revolution in knowledge representation. This is leveraged by the underlying structure of the KG which underpins a better comprehension, reasoning and interpretation of knowledge for both human and machine. Therefore, KGs continue to be used as the main means of tackling a plethora of real-life problems in various domains. However

The smart grid integrated with renewable energy sources (RESs) allows to perform peer to peer selling of energy via Local Energy Market (LEM). However, it faces the challenges of lack of transparency and verification of energy distribution, single-point failure in the energy data management, user’s privacy, non-incentivized trading and lack of trust on the energy trading. To address these problems

The IEEE 802.15.4 TSCH standard is designed to improve the reliability, timeliness, and energy efficiency of short-range wireless communications in industrial applications. TSCH relies upon a network formation process to efficiently create and maintain a synchronized reliable mesh network. The standard adopts a purely passive scan mechanism enabling joining nodes to listen to periodic Enhanced Beacons

With the development of the internet of things (IoT), the concept of an edge network has been gradually expanding to other fields including internet of vehicles, mobile communication networks and smart grids. Because the resources of terminals are limited, the long-distance movements of users will increase the running costs of the services that are offloaded to edge servers, and even the services on

Intrabody Nanonetworks (IBN) are composed of nanosensors that have tremendous potential to enable cellular level monitoring and precision in drug delivery and diagnosis. Nanoscale communication using Electromagnetic (EM) waves propagation in the Terahertz (THz) band suffers from molecular absorption noise that has been regarded as the leading cause of heat generation along with antenna communication

Software defined networking (SDN) is regarded as a new paradigm of flow management in data center networks (DCNs). In SDN, the existing methods of managing flows are centralized by controller in the control plane and highly rely on the switches in the data plane to get forwarding rules from controller. Therefore, it is of great significance to consider the mapping relationship between the controller

In this study, we consider the Internet of Things (IoT) with an autonomous deployment framework and seek optimal localizable k-coverage (OLKC) strategies to preserve the connectivity and robustness in IoT networks to assist robots during disaster recovery activities. Therefore, we define localizable k-coverage as the covered region within which a mobile robot can localize itself aided by k neighboring

IEEE 802.11ah, marketed as Wi-Fi HaLow, is a new sub-1GHz Wi-Fi technology for the Internet of Things (IoT), aiming to address the major challenge of the IoT: providing connectivity among a large number of power-constrained stations deployed over a wide area. In order to achieve this goal, several novel features are introduced in IEEE 802.11ah in both the Physical Layer (PHY) and Media Access Control

In recent years, crypto-currencies (a form of decentralised digital currencies) have been quite popular as an alternative form of payments. They are underpinned by a breakthrough technology called Blockchain which extensively use a number of cryptographic mechanisms and other advanced techniques from the domain of distributed computing. This blockchain technology has received unparalleled attention

Recent advances in today’s Internet introduced huge demand for End-to-End Quality of Service (E2E QoS) assurances for delivering different types of traffic (video, live streaming, and telemedicine), originating from a wide spectrum of applications. Such applications stretch across multiple administrative domains and require fair and robust coordination for E2E QoS provisioning. While the selection

Energy efficient data collection with minimum delay is very essential for IoT applications using sensors attached to Low Rate Wireless Personal Area Networks (LR-WPAN). The nature and position of the data collection and processing point, termed as Sink, plays a vital role in the data reliability, delay, and network lifetime. The static sink causes hot-spot problem to occur in Wireless Sensor Network

Canals have been widely constructed to deliver water from rich areas to poor areas to ease water shortages. Efficient controlling of canals is essential for high-performance water diversion. Many efforts have been made and lots of model-based approaches have been proposed to achieve efficient control of canals. However, when reliable physical models are unavailable or the performances of predictive

The lack of intrinsic security technologies in the current Internet of Things (IoT) systems brings forth numerous security vulnerabilities and privacy risks. To this end, a distributed and decentralized technology named blockchain comes out as a viable solution. This paper investigates the integration trends of blockchain technology with IoT and discusses the insights of this new paradigm. In particular

Edge networking is a complex and dynamic computing paradigm that aims to push cloud re-sources closer to the end user improving responsiveness and reducing backhaul traffic. User mobility, preferences, and content popularity are the dominant dynamic features of edge networks. Temporal and social features of content, such as the number of views and likes are leveraged to estimate the popularity of content

To support the growing demand for data-intensive and low-latency IoT applications, Multi-Access Edge Computing (MEC) is emerging as an effective edge-computing approach enabling the execution of delay-sensitive processing tasks close to end-users. However, most of the existing works on resource allocation and service placement in MEC systems overlook the unique characteristics of new IoT use cases

Mobile Ad-hoc Networks (MANETs) play a critical role for wireless communications within mission-critical applications. Wireless communications have the drawback of being susceptible to jamming. Jamming disturbs the normal reception of signals on the physical layer. While MANETs can adapt to continuous jamming, intermittent jamming can seriously disrupt the routing protocol and the traffic flow. In

The human life is changing drastically due to a popular emerging technology called Internet of things (IoT). The growth in the number of devices connecting to IoT networks results in large volumes of data collected or generated by these devices. Since IoT data is different from other types of data in terms of diversity and rapid growth and due to the huge amount of the generated data, the complexity

A remarkable interest in the Internet of Things (IoT)-based smart cities from both academia and industry has been observed in recent years. Smart cities can offer various smart applications such as intelligent transportation, industry 4.0, smart banking, among others, for boosting the life quality of citizens. Security is one of the key challenges of a smart city. One can enable smart cities with a

While Bitcoin heavily dominates the cryptocurrency markets, its use in micropayments is still a challenge due to long transaction confirmation times and high fees. Recently, the concept of off-chain transactions is introduced that led to the idea of establishing a payment channel network called Lightning Network (LN), which utilizes multi-hop payments. Off-chain links provide the ability to make instant

Recently, blockchain adoption in prosumer-side energy trading has been actively studied. However, most of the conventional frameworks permanently store all transactions which increases blockchain management cost and reduces the user privacy. Additionally, most of the existing solutions focus on facilitating energy trading and negotiation, while ignoring two critical issues: data acquisition and contract

Several technological solutions have emerged over the last several months to support proximity contact tracing to fight the COVID-19 pandemic. For this reason, today more than ever, accurate signal location is needed, even in indoor public areas (supermarkets, public transport, etc.). In a previous work, we proposed five methods to solve the problem of signal localization using elements of pole-polar

Wireless Robotic Networks (WRNs), composed of numerous mobile robotic agents with the ability of moving, computing, sensing, and communicating, are able to provide wireless communication services and thus implement complicated tasks for user equipments. In order to guarantee the performance of coverage rate and ensure providing the services timely and effectively, mobile robotics in WRNs are usually

Cloud computing and big data are two technologies whose combination can yield many benefits and challenges. One of the most significant challenges is the traffic produced by data-intensive jobs within a data center. A possible way to manage the produced traffic is optimizing the placement of virtual machines (VM) on hosts. However, placing VMs compactly to reduce the communication cost can negatively

Fog computing extends Cloud-based facilities and stays in the vicinity of the end-users to provide an attractive solution to a diverse range of latency-sensitive applications. The applications are becoming more sophisticated, context-aware, and computation-intensive due to varying situational and environmental conditions in order to meet the ever-increasing users’ demands. Further, resource heterogeneity

As the mobile edge computing develops continually, many emerging and diversified edge applications, such as Internet of vehicles, virtual reality games and lightweight deep learning tasks, are emerged. These applications are latency sensitive and require a large number of network connections. As the data size and business requests processed per unit of time continue to increase, the pressure of edge

The emergence of the Internet of Things (IoT) paradigm has led to the rise of a variety of applications with different characteristics and Quality of Service (QoS) requirements. Those applications require computational power and have time sensitive requirements. Cloud computing paradigm provides an illusion to consumers with unlimited computation resource power. However, cloud computing fails to deliver

The detection of software vulnerability requires critical attention during the development phase to make it secure and less vulnerable. Vulnerable software always invites hackers to perform malicious activities and disrupt the operation of the software, which leads to millions in financial losses to software companies. In order to reduce the losses, there are many reliable and effective vulnerability

Bronchial asthma is one of the most common chronic diseases of childhood and considered as a major health problem globally. The irregularity in meteorological factors has become a primary cause of health severity for the individuals suffering from asthma. In the presented research, a dew-cloud assisted cyber-physical system (CPS) is proposed to analyze the correlation between the meteorological and

This article investigates the ultra-reliable communication for industrial wireless sensor networks (IWSNs), where frequency diversity, path diversity and cooperative diversity are jointly investigated. We propose a novel IWSN equipped with the full-duplex (FD) relays and carrier aggregation (CA) technique, to improve the reliability of all sensors. We derive a closed-form expression for the reliability

Building a reliable and efficient network layer for large-volume content delivery over satellite is extremely challenging due to space circumstances of unreliable connectivity, long propagation delay and high dynamics. In this paper, we address those challenges in satellite networking and propose an information-centric data retrieval scheme to provide disruption-tolerant, low-delay and highly efficient

Recently, an infectious disease, coronavirus disease 2019 (COVID-19), has been reported in Wuhan, China, and spread worldwide within a couple of months. There have been seen an outbreak of COVID-19 in many countries, where the infected patients' rate overwhelmed the inadequate medical services. The push of patient-centered interoperability (PCI) from medical institution-centered interoperability may

Scheduling of small cells in Fifth-Generation (5G) mobile network is highly important for achieving energy-efficiency and providing Quality of Service (QoS) to the applications users. Minimization of energy consumption hampers QoS. This problem has been further complicated due to exponential increase of mobile application users demanding high data rate. The performances of energy-saving approaches

The increasing number of security attacks have inspired researchers to employ various classifiers, such as support vector machines (SVMs), to deal with them in Intrusion detection systems (IDSs). This paper presents a comprehensive study and investigation of the SVM-based intrusion detection and feature selection systems proposed in the literature. It first presents the essential concepts and background

Blockchain-based cryptocurrencies, such as Bitcoin, have seen on the rise in their popularity and value, making them a target to several forms of Denial-of-Service (DoS) attacks, and calling for a better understanding of their attack surface from both security and distributed systems standpoints. In this paper, and in the pursuit of understanding the attack surface of blockchains, we explore a new