Blockchain and the Internet of things (IoT) systems are attracting more and more research efforts from both academia and industry. Blockchain is rapidly evolving to be a new infrastructure for building robust distributed applications. Similarly, Internet of things is getting increasing deployment in the context of smart city, smart home, smart healthcare, etc. On the intersection of the two emerging

To support multimedia applications, Mobile Edge Computing (MEC) servers offer storage and computing capacities to handle videos close to end-users. However, the high load in peak hours consumes the limited available bandwidth of existing cellular and backhaul links leading to low network performance. Hence, an elastic system model is required to maintain the high Quality of Experience (QoE) as the

Multi-channel non-time-slotted cognitive radio ad hoc networks are attractive to researchers nowadays; because they utilize the spectrum efficiently and represent a useful network design for Internet of Things (IoT) applications. From this point, a simulator that mimics these networks is developed using Java language. Further, researchers have proven that many problems facing these networks can be

Link Flooding Attacks (LFA) are a devastating type of stealthy denial of service attack that congests critical network links and can completely isolate the victim's network. In this work, we present a systematic survey of LFA patterns on all the layers of the Software Defined Network (SDN) ecosystem, along with a comparative analysis of mitigation techniques. The paper starts by examining different

The stringent requirements of wireless multimedia transmission lead to very high radio spectrum solicitation. Although the radio spectrum is considered as a scarce resource, the issue with spectrum availability is not scarcity, but the inefficient utilization. Unique characteristics of cognitive radio (CR) such as flexibility, adaptability, and interoperability, particularly have contributed to it

With massive new applications and online services, the future design of the Internet will have new requirements and implications, such as compatible mobility, scalability, reliability and security. The Named Data Networking (NDN) is the most promising future internet architecture paradigm which focuses on content driven communication. Unlike traditional IP networks, named content-based data networks

Mobile data offloading via D2D communication is an emerging way to alleviate the traffic overloading burdens in cellular networks and improve mobile users’ satisfactions. However, the third-party offloading service provider (OSP) has no incentive to participate in data offloading considering its personal profit. Motivated by this challenge, we propose a user-initiated incentive mechanism where mobile

Protocol reverse engineering is helpful to automatically obtain the specifications of protocols that are useful for network management, network security systems and test case generation tools. To achieve better accuracy, these kinds of applications require good models that can capture not only the order of exchanging messages (control flow aspect) but also the data being transmitted (data flow aspect)

Natural disasters, such as earthquakes, can cause severe destruction and create havoc in the society. Buildings and other structures may collapse during disaster incidents causing injuries and deaths to victims trapped under debris and rubble. Immediately after a natural disaster incident, it becomes extremely difficult for first responders and rescuers to find and save trapped victims. Often searches

Labor intensive visual observation has been used to study the activities of Asian parti-colored (APC) bats in the past. Through an Internet of Things (IoT) platform called BatTalk, we continuously monitor the APC bats population to investigate its compositional changes, life history, and environmental factors. BatTalk achieves the same goals as traditional visual observations with reduced man power

This paper presents a CDA mechanism to simultaneously coordinate data dissemination and data aggregation services in coexisting heterogeneous IoT networks (i.e., WiFi and ZigBee) using a WiFi Access Point (AP). With CDA, the WiFi signal interference to the low power ZigBee network is mitigated via the latest Cross-Technology Communication (CTC) techniques. The CTC techniques used in CDA are compatible

OpenFlow is unable to provide customized flow tables, resulting in memory explosions and high switch retirement rates. This is the bottleneck for the development of SDN. Recently, P4 (Programming Protocol-independent Packet Processors) attracts much attentions from both academia and industry. It provides customized networking services by offering flow-level control. P4 can “produce” various forwarding

Areas with social and business impact such as entertainment, healthcare, surveillance, and e-learning would benefit from improvements in video coding and transcoding services. New codecs, such as AV1, are being developed to deal with new demands for high video resolutions with bandwidth constraints and quality requirements. However, these new codecs have high computational requirements and new strategies

Cloud computing has attracted increasing attention in data management. Data replication, which brings files closer to the data consumers, is a well-known technique that reduces access time and bandwidth consumption. This paper addresses two issues concerning replica placement process. The first is how to reduce access costs and replication costs that are two conflicting goals. To achieve this, we propose

Personal data are often collected and processed in a decentralized fashion, within different contexts. For instance, with the emergence of distributed applications, several providers are usually correlating their records, and providing personalized services to their clients. Collected data include geographical and indoor positions of users, their movement patterns as well as sensor-acquired data that

We propose a suite of dynamic security metrics that timely, dynamically, and adaptively assess the effectiveness of the software-defined network (SDN)-based moving target defense (MTD) techniques. The security metrics are developed to measure the dynamics of a network and a host state's information (e.g., IP address, port, software stacks, vulnerabilities, or network topology) introduced by various

Nowadays, online applications are moving to the cloud, and for delay-sensitive ones, the cloud is being extended with edge/fog domains. Emerging cloud platforms that tightly integrate compute and network resources enable novel services, such as versatile IoT (Internet of Things), augmented reality or Tactile Internet applications. Virtual infrastructure managers (VIMs), network controllers and upper-level

In this paper, we consider the problem of event localization in the presence of anomalous nodes, in Internet of Things (IoT) and Mobile Crowd Sensing (MCS) systems. A sensing node could be anomalous due to faultiness in any of its components, or due to maliciousness, where it may forge and inject false readings. In both cases, anomalous nodes can significantly alter the task quality and outcome, which

Reversible adders are essential circuits in quantum computing systems. They are a fundamental part of the algorithms implemented for such systems, where Shor's celebrated factoring algorithm is one of the most prominent examples in which reversible arithmetic is needed. There is a wide variety of works in the existing literature which tackle the design of an adder for quantum systems, and today there

Rapid growth in mobile data traffic and technological improvements in mobile devices revealed the concept of collaborative Internet access via User Provided Networks (UPN). According to this approach, users with strong cellular connection share their own connections with other users that have limited or no cellular connection. However, in such services, one of the key issues is the users' willingness

The multi-subtopic is challenging to be understood timely and comprehensively due to micro-blog characteristics, such as low-value density, and fast update speed. For such an issue, this paper proposes a Multi-Subtopic Bi-level Network (MSBN) for micro-blog hot topics based on feature co-occurrence and semantic community division to support users understanding better the subject. First, the highlighted

High-speed, low latency, and heterogeneity features of 5G, as the common denominator of many emerging and classic wireless applications, have put wireless technology back in the spotlight. Continuous connectivity requirement in low-power and wide-reach networks underlines the need for more efficient routing over scarce wireless resources, in multi-hp scenarios. In this regard, Opportunistic Routing

Reputation systems offer a medium where users can quantify the trustworthiness or reliability of individuals providing online services or products. In the past, researchers have used blockchain technology for reputation systems. Smart contracts are computer protocols which have the primary objective to supervise, implement, or validate performances or negotiations of contracts. However, through a systematic

The Internet of Things (IoT) paradigm is considerably impacted by security challenges, which has lately demanded substantial consideration. Accordingly, certain reviews and surveys have been presented, focusing on disparate IoT-related domains, including IoT security, intrusion detection systems, and emerging technologies. However, in this article, we solely target IoT security with respect to product

The big data sources in smart grid (SG) enable utilities to monitor, control, and manage the energy system effectively, which is also promising to advance the efficiency, reliability, and sustainability of energy usage. However, false data attacks, as a major threat with wide targets and severe impacts, have exposed the SG systems to a large variety of security issues. To detect this threat effectively

Network Function Virtualization (NFV) is emerging as an attractive solution, which can transform complex network functions from the dedicated hardware implementations into software instances running in a virtualized environment. In NFV, the requested service is implemented by a sequence of Virtual Network Functions (VNF) that can run on generic servers by leveraging the virtualization technology. These

The dynamic virtual machine (VM) consolidation is a key resource management technique used for achieving a trade-off between performance and energy efficiency of cloud computing systems. Selection of the source and destination hosts is a key problem in the process of VM consolidation which faces different challenges in the effective management of cloud resources. One of these challenges is utilizing

Failures in networks result in service disruptions which may cause deteriorated Quality of Service (QoS) for the end-users. Since SDN is becoming the mainstream paradigm for networks, implementation of a robust fault tolerance scheme for SDN-based networks is crucial. Existing SDN data plane fault tolerance approaches can be classified as reactive and proactive which may or may not rely on the controller

Software-Defined Networking (SDN) has obtained a lot of attention in the last decade and has played a significant role in the development of next-generation networks (NGN). IP networks can also benefit from the SDN evolution to fulfill the data traffic booming. However, the transition of the traditional networking model to SDN architectures poses scalability issues due to the possible flow entry explosion

Internet of Things (IoT) is the recent and growing which is inevitable in day-to-day activities in current life. IoT is the network of systems which interconnect various real world objects and serve for the Machine-to-Machine (M2M) communication through the support of Internet. The significant functionality of IoT deals with an enormous amount of data sensed from various heterogeneous IoT devices.

As a promising technology, edge computing extends computation, communication, and storage facilities toward the edge of a network. This new computing paradigm opens up new challenges, among which computation offloading is considered to be the most important one. Computation offloading enables end devices to offload computation tasks to edge servers and receive the results after the servers' execution

With the proliferation of connected vehicles, new coverage technologies and colossal bandwidth availability, the quality of service and experience in mobile computing play an important role for user satisfaction (in terms of comfort, security and overall performance). Unfortunately, in mobile environments, signal degradations very often affect the perceived service quality, and predictive approaches

In the last decade there has been an increasing interest and demand on the Internet of Things (IoT) and its applications. But, when a high level of computing and/or real time processing is required for these applications, different problems arise due to their requirements. In this context, low cost autonomous and distributed Small Board Computers (SBC) devices, with processing, storage capabilities

Bit Indexed Explicit Replication (BIER) is a novel IP multicast (IPMC) forwarding paradigm proposed by the IETF. It offers a transport layer for other IPMC traffic, keeps core routers unaware of IPMC groups, and utilizes a routing underlay, e.g., an IP network, for its forwarding decisions. With BIER, core networks do not require dynamic signaling and support a large number of IPMC groups with large

Downloading of contents on mobile devices has been increasing rapidly since the introduction of mobile communication technologies. The huge traffic load presents a significant challenge to mobile network operators. Therefore, mobile social network (MSN) has been proposed to leverage cellular links by offloading mobile traffic via device-to-device communications. To do so, applying effective algorithm

The use of deep learning models for the network intrusion detection task has been an active area of research in cybersecurity. Although several excellent surveys cover the growing body of research on this topic, the literature lacks an objective comparison of the different deep learning models within a controlled environment, especially on recent intrusion detection datasets. In this paper, we first

Cloud computing has strong computing power and huge storage space. Machine learning algorithm, combining with cloud computing, makes the processing of large-scale data practical. Logistic regression algorithm is a widely popular machine learning-based classification algorithm that can be implemented in cloud. However, data privacy cannot be guaranteed in big data processing as privacy leakage of the

The fifth generation (5G) technology is expected to support a rapid increase in infrastructure and mobile user subscriptions with an increase in the number of remote radio heads (RRHs) per unit area using cloud radio access networks (C-RANs). From the economic point of view, minimizing the amount of energy consumption of the RRHs is a challenging issue. From the environmental point of view, achieving

Many future innovative computing services will use Fog Computing Systems (FCS), integrated with Internet of Things (IoT) resources. These new services, built on the convergence of several distinct technologies, need to fulfil time-sensitive functions, provide variable levels of integration with their environment, and incorporate data storage, computation, communications, sensing, and control. There

in a data center network, accurately classifying flow is the key to optimal schedule flow. However, the existing classification methods cannot meet the demand of real networks in terms of classification performance, detection latency, and control overhead. Thus, by combining the ability of deep learning to describe the multi-dimensional features, and the advantage of software-defined networking (SDN)

This paper formulates the problem of a rule-based machine learning method to discover the behavioral rules of individual smartphone users to provide context-aware intelligent services. Smartphones nowadays are considered as one of the most important Internet-of-Things (IoT) devices for providing various context-aware personalized services. These devices can record individuals' contextual data - for

Acceleration data for activity recognition typically are collected on battery-powered devices, leading to a trade-off between high-accuracy recognition and energy-efficient operation. We investigate this trade-off from a feature selection perspective, and propose an energy-efficient activity recognition framework with two key components: a detailed energy consumption model and a number of feature selection

With the advancement in drone technology, in just a few years, drones will be assisting humans in every domain. But there are many challenges to be tackled, communication being the chief one. This paper aims at providing insights into the latest UAV (Unmanned Aerial Vehicle) communication technologies through investigation of suitable task modules, antennas, resource handling platforms, and network

With the growing cognizance about environmental concern and global warming-related to communication technologies, the researchers have been seeking some solutions to diminish the consumption of energy in the telecommunication industry. There is a remarkable advancement in mobile communication from simple voice-based devices to ubiquitous data-hungry smartphones. Nearly, 8 billion mobile subscribers

The IoT is the upcoming one of the major networking technologies. Using the IoT, different items or devices can be allowed to continuously generate, obtain, and exchange information. Different IoT applications nowadays are centered on computerizing various errands and are attempting to engage the inanimate physical items to act without direct supervision of a human. The current and forthcoming IoT

Videos are expected to be a primary contributor to an anticipated massive surge in mobile network data. Caching the videos within the mobile network can significantly reduce the network load and Operational Expenditure (OPEX) for mobile network operators. Multi-access Edge Computing (MEC) can enable the video caching by providing processing and storage capabilities within the network. However, content

Mobile devices furnish users with various services while on the move, but also raise public concerns about trajectory privacy. Unfortunately, traditional privacy protection methods, such as anonymity and generalization, are not secure because they cannot resist attackers with background knowledge. The emergence of differential privacy provides an effective solution to this problem. Still, the existing

Ransomware is a special type of malicious software that encrypts the user's assets and makes it unavailable to the users until a ransom is paid to the ransomware author. Such attacks have become one of the most widespread malware that poses serious threat to both individuals and business organizations. Against this destructive malicious program, the dynamic analysis approach is the most popular approach

Mobile cloud computing helps to overcome the challenges of mobile computing by allowing mobile devices to migrate computation-intensive and data-intensive tasks to high-performance and scalable computation resources. However, emerging data-intensive applications pose challenges for mobile cloud computing platforms because of high latency, cost and data location issues. To address the challenges of

Human activity recognition has gained importance in recent years due to its applications in various fields such as health, security and surveillance, entertainment, and intelligent environments. A significant amount of work has been done on human activity recognition and researchers have leveraged different approaches, such as wearable, object-tagged, and device-free, to recognize human activities

It is commonsense that the data should be encrypted by searchable encryption before being outsourced to the cloud for its confidentiality and availability. Most of existing studies focus on forward privacy, we initiate the study of forward unforgeability, which defines the time periods when files can be uploaded while the forward privacy defines the time periods when files can be queried. For example

In many applications, multiple parties would benefit from a precise learning model trained from the aggregated dataset. However, the trivial method that all the data is aggregated into one datacenter and processed centrally is not appropriate when data privacy is a significant concern. In this paper, we propose a new framework for secure multi-party learning and construct a concrete scheme by incorporating

Unstructured data (mostly text data) have become a vital part in the era of big data. Hence, it has become increasingly difficult to identify the internal relations among data and describing the access control object during the design of access control (especially fine-grained access control) policies. Furthermore, in recent years, security incidents have frequently occurred due to the leakage of secrets

A Hybrid cloud is an integration of resources between private and public clouds. It enables users to horizontally scale their on-premises infrastructure up to public clouds in order to improve performance and cut up-front investment cost. This model of applications deployment is called cloud bursting that allows data-intensive applications especially distributed database systems to have the benefit

Blockchain possesses potential for enabling secure data sharing of industrial big data generated by the Industrial Internet of Things (IIoT). However, the existing data-sharing schemes based on blockchain secure only the data exchange process between the data-sharing parties; they do not consider the efficiency of data sharing at all. In this study, we propose a data-sharing scheme based on blockchain

Compared with outdoor localization using Global Positioning System (GPS), indoor localization is more complex and difficult due to the shadowing, fading and reflecting of radio. Thus, pioneers struggled for accurate device-free indoor localization and many creative schemes were proposed. However, these schemes still have defects and deficiencies. Mode-based schemes usually extract features of radio

The low power idle mode implemented by Energy Efficient Ethernet (EEE) allows network interfaces to save up to 90% of their nominal energy consumption when idling. There is an ample body of research that recommends the use of frame coalescing algorithms—that enter the low power mode as soon as there is no more traffic waiting to be sent, and delay the exit from this mode until there is an acceptable

Over the last years, big data has emerged as a new paradigm for the processing and analysis of massive volumes of data. Big data processing has been combined with service and cloud computing, leading to a new class of services called “Big Services”. In this new model, services can be seen as an abstract layer that hides the complexity of the processed big data. To meet users' complex and heterogeneous