Energy is one of the most critical resources for sensor devices that decides the network lifetime of the wireless sensor networks. In many circumstances, sensor devices consume more energy for data transmission, reception, and forwarding operations. The major challenge is to increase the network lifetime by implementing the latest research models to reduce the deployment and operational cost. Many

The Network Function Virtualization (NFV) virtualizes the network appliances — such as routers and firewalls — with software running on commercial off-the-shelf servers. In NFV specification, Network Services (NS) are composed of multiple Virtual Network Functions (VNF) enabling elastic and finer lifecycle management operations such as scaling. For adapting resources to the VNF-based network services

It is expected that in the future traditional gas, water, electricity, parking, etc. meters will be replaced by smart meters (i.e., smart IoT devices) to provide many advantages. To avoid the need to find power sources for a huge number of such smart meters, they are expected to operate on batteries and the batteries should be able to last for a long time to avoid frequent battery replacements. The

With the development of social networks, more and more data about users are released on social platforms such as Facebook, Enron, WeChat, in terms of social graphs. Without the efficient anonymization, the graph data publishing will cause serious privacy leakage of users, for example, malicious attackers might launch 1-neighborhood graph attack on targets, which assumes that 1-hop neighbors and the

Network scanning is one of the first steps in gathering information about a target before launching attacks. It is used to scan for vulnerable devices and exposed services in order to exploit them. Such exploits can result in data breaches or network disruption, which can be very costly for organizations. There are many factors, including technical and non-technical, affecting the volume of scanning

Video streaming requires reliable transmission and a steady network to satisfy the video users and applications QoS needs. The network service must provide and meet a certain level of performance to accommodating these QoS, specially in Smart City environments, but current Internet best-effort service does not guarantee QoS. Software-defined networking (SDN) is an approach intended to separate the

The high cost of maintaining radio map is a major hurdle for wide application of WLAN fingerprint-based indoor localization. The development of mobile crowd sensing provides new possibilities, however the features of normal users such as moving freely and non -professional bring new challenges. In this paper, a radio map self-updating algorithm is proposed to resolve three key problems: the localization

Computer networks are dealing with growing complexity, given the ever-increasing volume of data produced by all sorts of network nodes. Performance improvements are a non-stop ambition and require tuning fine-grained details of the system operation. Analyzing such data deluge, however, is not straightforward and sometimes not supported by the system. There are often problems regarding scalability and

Visible Light Communication (VLC) is a subset of Optical Wireless Communication (OWC) originally based on Light Emitting Diodes (LEDs) for data transmission in an imperceptible way to human vision. Thanks to its wide license-free bandwidth, high security, and its low cost, VLC becomes a revolutionary alternative to the Radio Frequency (RF) networks. This paper presents a comprehensive survey of VLC

The proliferation of the Internet of things (IoT) devices and the corresponding high-volume sensing data pave the path for data-driven IoT services such as smart cities and smart farming. The first step towards achieving such services is to efficiently collect the data at collection centers, which requires an agile data collection strategy coping with dynamic environment changes. Network programmability

Intrusion detection is one of the most common approaches for addressing security attacks in modern networks. However, given the increasing diversity of attack behaviors, efficient detection becomes more challenging. Machine learning (ML) has recently dominated as one of the most promising techniques to improve detection accuracy for intrusion detection systems(IDS). With ML-based approaches, a quality

Dynamic data-driven vulnerability assessments face massive heterogeneous data contained in, and produced by SOCs (Security Operations Centres). Manual vulnerability assessment practices result in inaccurate data and induce complex analytical reasoning. Contemporary security repositories’ diversity, incompleteness and redundancy contribute to such security concerns. These issues are typical characteristics

The emerge of fifth-generation (5G) wireless networks has started a new era of the development of wireless mobile networks. Security of the 5G wireless networks is the major concern when they are deployed for commercial applications. The third-generation partnership project (3GPP) has specified security functionality of 5G wireless in its standard release 16. However, it is prone to different attacks

Mobile edge computing (MEC) is rising as a key technology for computation-intensive and delay-sensitive applications. Many works have focused on MEC, but most of them only consider unicast scenarios, and ignore multicast issues. The reason is that MEC aiming at personalized computing of users conflicts with multicast which demands the same data stream. This makes MEC and multicast seem inconsistent

The Power system is a crucial Cyber-Physical system and is prone to the False Data Injection Attack (FDIA). The existing FDIA detection mechanism focuses on DC state estimation. In this paper, we propose a phased AC FDIA targeting at generation rescheduling and load shedding. After injecting the false data into the measurements, the estimated states will be deviated from those in normal conditions

At present, space information networks are widely used in various fields and gradually attract more and more users to access. However, because the wireless channel in space information networks is public, it is extremely vulnerable to attacks such as eavesdropping, replay and impersonation attacks, which may lead to the leakage of privacy and secret information. In recent years, many authentication

Currently, core networking architecture is facing disruptive developments, due to the emergence of SDN for control, NFV for services and so on. SDN promises more versatility in routing and managing traffic flows, while NFV represents a large shift in how network functions and services are built, deployed, and managed. We present OpenPATH (aPplication Aware software-defined swiTcHing framework)—A software-defined

Deep packet inspection (DPI) has been extensively investigated in software-defined networking (SDN) as complicated attacks may intractably inject malicious payloads in the packets. Existing proprietary pattern-based or port-based third-party DPI tools can suffer from limitations in efficiently processing a large volume of data traffic. In this paper, a novel OpenFlow-enabled deep packet inspection

Internet of Things (IoT) is one of the emerging technologies, which is expanding its wings day by day. Smart objects in the IoT system are the ultimate building blocks used in the development process of IoT-based smart pervasive frameworks. Healthcare is one of the essential and well-known application domains of IoT technology. IoT is giving a new shape to the modern healthcare system, which is defined

VANETs solutions use aggregated graph representation to model the interaction among the vehicles and different aggregated complex network measures to quantify some topological characteristics. This modeling ignores the temporal interactions between the cars, causing loss of information or unrealistic behavior. This work proposes the use of both temporal graphs and temporal measures to model VANETs

Software Defined Networking (SDN) is gaining momentum not only in research but also in IT industry representing the drivers of 5G networks, due to its capabilities of increasing the flexibility of a network and address a variety of network challenges, by logically centralizing the intelligence in software-based controllers. Thanks to Machine Learning (ML) techniques, the network performances and utilization

With the rapid development of cloud storage, an increasing number of data owners prefer to store their large-scale data on the remote cloud for greatly reducing the burden of maintaining the data by themselves. Since different cloud storage service providers offer distinct quality of data storage services, secure outsourced data migration becomes a fundamental requirement for data owners to change

Modern industrial and data center networks adopt multipath TCP (MPTCP) to achieve low communication latency. To make full use of multiple paths, MPTCP divides one TCP connection into multiple subflows. Due to the connection-level ACK blocking, however, MPTCP suffers from the traffic burstiness, which leads to large queueing delay, frequent packet drops, and even TCP timeout. To mitigate the traffic

Internet of Things (IoT) is a network of interconnected smart devices which provides tremendous benefits and can be applied in various fields including, but not limited to, healthcare, monitoring, and transportation. Since late of 2019, the world faces coronavirus (COVID-19) which has harmful consequences in humans’ life and economy. Reducing human interaction is the most important health measure to

Nowadays, a major problem in faster page loading through optimizing websites is the absence of having images in their intended sizes. Accordingly, while loading a webpage, most of the time overhead pertains to image-related tasks such as image loading and resizing, which can be optimized substantially through the pre-availability of smaller-size images. Therefore, in this study, we propose a strategy

Voting is one of the most important acts through which a community can make a collective decision. In recent years, many works have focused on improving traditional voting mechanisms and, as a result, a wide range of electronic voting (e-Voting) systems have been proposed. Even though some approaches have achieved a proper level of usability, the main challenges of e-Voting are essentially still open:

Internet of Things (IoT) is an ever-expanding ecosystem that integrates software, hardware, physical objects, and computing devices to communicate, collect, and exchange data. The IoT provides a seamless platform to facilitate interactions between humans and a variety of physical and virtual things, including personalized healthcare domains. Lack of access to medical resources, growth of the elderly

With the mobile data traffic grows rapidly and the video data has a high proportion, the backhaul link faces great pressure. The conventional centralized architecture has been far from enough to satisfy the user demands. For reducing user response latency and easing backhaul stress, the streaming media contents should be proactively stored in the edge of network and new contents caching model needs

To access an unlicensed channel, Wi-Fi follows the Listen Before Talk (LBT) mechanism, whereas LTE-U (and future New Radio in Unlicensed (NR-U) Patriciello et al., 2020; Lagen et al., 2019) adopts the ON–OFF duty-cycled mechanism to fairly share the channel with Wi-Fi. These different mechanisms result in quite different performance for Wi-Fi and LTE-U/NR-U based on their relative deployment and density

Commonly, the network configuration leans upon the operators’ experience to operate network, including command-line configuration, middle-ware scripts, and troubleshooting. However, with the rise of neoteric B5G services, the manual way lacks flexibility and timeliness, resulting in an unsatisfactory level of configuration. It is necessary to consider a manual free configuration way for transport network

The advancement in the computational capability and storage size of a modern mobile device has evolved it into a multi-purpose smart device for individual and business needs. The increasing usage of this device has led to the need for a secure and efficient authentication mechanism. For securing mobile devices, password, PIN, and swipe patterns are commonly used for user authentication. Entry-point

The surging data traffic and dynamic user mobility in 5G networks have posed significant demands for mobile operators to increase data processing capacity and ensure user handover quality. Specifically, a cost-effective and quality-aware radio access network (RAN) is in great necessity. With the emergence of fog-computing-based RAN architecture (Fog-RAN), the data processing units (BBUs) can be separated

Software-Defined Networking (SDN) is widely considered as one of the next generation network architecture. However, SDN faces with a series of issues which restraint its development and application, where the security is one of the serious issues. The Distributed Denial of Service (DDoS) is such a devastating security problem. In this work, a comprehensive review of the DDoS detection mechanisms utilized

Ensuring that an active path is provided at all times in a Wireless Sensor Network (WSN) is fundamental for securing the timely delivery of critical data and maintaining the quality of service required to effectively support delay-sensitive applications. In duty cycling mode, ensuring such a path becomes a real challenge as the activity scheduling of different nodes should be regulated and adjusted

The popularity of context-aware services is improving the quality of life, while raising serious privacy issues. In order for users to receive quality service, they are at risk of leaking private information by adversaries that are possibly eavesdropping on the data and/or by the untrusted service platform selling off its data to adversaries. Game theory has been utilized as a powerful tool to achieve

In next-generation networks (NGN), a very large number of devices and applications are emerged, along with the heterogeneity of technologies, architectures, mobile data, etc., and optimizing such a network is of utmost importance. Besides convex optimization and game theory, swarm intelligence (SI) has recently appeared as a promising optimization tool for wireless networks. As a new subdivision of

A crucial technical challenge for cybercriminals is to keep control over the potentially millions of infected devices that build up their botnets, without compromising the robustness of their attacks. A single, fixed C&C server, for example, can be trivially detected either by binary or traffic analysis and immediately sink-holed or taken-down by security researchers or law enforcement. Botnets often

Mobile cloud computing (MCC) is a trending technology employed in several domains to overcome the limitations of mobile devices by using cloud capabilities. Communication between mobile devices and clouds is maintained via wireless media to make use of cloud services. Hence, MCC models show vital security issues related to many disciplines, especially authentication, privacy, and trust. Current MCC

The huge and ever-increasing data traffic promotes the upgradation of IP bearer network to possess higher transmission capability. As a long-term task, network upgradation needs to be implemented in multiple stages. At each stage, one or more network partitions are planned to meet various requirements in different areas or periods to realize the smooth change from the current network to the targeted

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

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 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

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

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

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