In modern cryptography, the Discrete Logarithm Problem (DLP) plays a vital role, but a classical computer cannot efficiently solve it. Nowadays, the Hyper Elliptic Curve Discrete Logarithm Problem (HECDLP) of Genus two (G2) widely used in industry and also a research field of hot interest. This paper presents a novel blind signcryption scheme based on Hyper Elliptic Curves having properties of confidentiality

Process Mining is a set of techniques that aim at discovering, monitoring and improving real processes by using logs of events created and stored by corporate information systems. The growing use of information and communication technologies and the imminent wide deployment of the Internet of Things enable the massive collection of events, which are going to be studied so as to improve all kinds of

A large of smart nodes is connected in Internet of Things (IoT). These nodes in IoT often are resource-constrained nodes, so they have a greater need to collaborate with other nodes for performing advanced service and applications. When there are many providers who can provide similar collaboration service, a collaboration requestor (CR) node will have to make the decision of the “best” collaboration

Deep learning has shown prominent superiority over other machine learning algorithms in Single Image Super-Resolution (SISR). In order to reduce the efforts and resources cost on manually designing deep architecture, we use differentiable neural architecture search (DARTS) on SISR. Since neural architecture search was originally used for classification tasks, our experiments show that direct usage

Nowadays, space information networks (SIN) has been widely used in navigation, observation and military activities due to its advantages of wide coverage, convenient communication and the ability to provide users with multiple services. However, because of the openness of the spatial channel, there are security threats such as information eavesdropping, interception and forgery. So far, many scholars

Free-riding is a major problem in peer to peer networks. One of the ways to resolve this problem is by using a reputation management system. Each node provides resources to nodes with higher reputation, as he himself gains in reputation in proportion to the receiver’s reputation. So, free-riding becomes a non-optimal strategy as there is no resulting reputation gain, and hence no available resources

Detecting the flows with abnormally large spreads over big network data can help us identify network attacks, such as DDoS attacks and scanners. Most per-flow measurement studies use compact data structures to reduce their memory requirements, fitting in the limited on-chip memory and catching up with the line rate. In this paper, we study a novel problem called spread estimation among multi-periods

Aggregating the sensed data by nodes is a natural way to increase the network lifetime and reduce the number of bits sent and received by each sensor node. This paper presents a reliable tree-based data aggregation method. In the proposed method, sensor nodes are organized in the form of a binary tree. Then, aggregation requests are authenticated by a shared key, and if the request is acknowledged

For the privacy-preserving computation of multi-source large scale data sets, the secure multi-party computation protocol with high-throughput is of the utmost importance. However, the existing high-throughput secure multi-party protocols only involve the fixed 3-party or 4-party setting, limiting its practicality. To achieve a high-throughput n-party (n ≥ 3) secure protocol, low communication and

Recent advancement in wireless charging technologies has enabled us to design and development of Wireless Rechargeable Sensor Networks (WRSNs) for sensing and data gathering tasks for a very long duration. The fundamental research challenge in WRSN is to design efficient path scheduling for Mobile Wireless Charging Vehicles (MWCVs) such that it maximizes utility of energy resource of MWCVs and minimizes

Deep neural network (DNN) based face recognition system has become one of the most popular modalities for user identity authentication. However, some recent studies have indicated that, the malicious attackers can inject specific backdoors into the DNN model of a face recognition system, which is known as backdoor attack. As a result, the attacker can trigger the backdoors and impersonate someone else

Convoy driving has great potential in the development of autonomous driving industry, which can bring great improvement to the utilization rate of roads and the travel experience of passengers. However, the emergence of convoy driving also brings some new challenges to the location privacy of autonomous vehicles. In this paper, a novel dynamic mixed zone establishment scheme is proposed to protect

Network coding is an effective method to optimize network throughput and improve routing reliability, and has been widely used in a decentralized Internet of Things system. However, the packet-mixing property of network coding renders transmission susceptible to pollution attacks, which may prevent the reconstruction of the original file. A homomorphic signature scheme is a powerful tool that enables

Voice assistant system (VAS) is a popular technology for users to interact with the Internet and the Internet-of-Things devices. In the VAS, voice queries are linked to users’ accounts, resulting in long-term and continuous profiling at the service provider. In this paper, we propose a VAS anonymizer aiming to mix the queries of the VAS users to increase the source anonymity. The VAS anonymizer is

In this paper, we consider a two-way cognitive radio network where an energy-constrained secondary transmitter (ST) first performs energy accumulation and then assists bidirectional communication for a pair of primary users (PUs) based on the principle of two-way relaying (TWR) strategy. To be specific, the ST can harvest energy from the received radio frequency (RF) signals broadcasting by both the

Wireless Sensor Networks (WSN) are naturally resource-constrained and have been deployed in various applications such as home monitoring, health care monitoring and military systems. These applications are connected to numerous devices capable of interacting with each other over the internet called as Internet of Things (IoT). WSN application plays a main part in the IoT environment. In WSN, sensors

Wireless Sensor Network has been recognized as an attractive candidate among the telecommunication, meteorology, and sensor industries for the last few years owing to its wide range of applications, including environmental- and industrial-monitoring. In this paper, the authors propose an Energy Balanced Multi-hop Routing Scheme (EBMRS) at both the inter- and intra-clustering level to discover the optimal

Blockchain can provide a dependable environment for mobile applications. Mining, as an important component in blockchain, requires a lot of computing resources, and hence resource limited moblie devices are unable to perform the mining. Offloading mining computation tasks to an edge computing service provider (ESP) or a cloud computing service provider (CSP) is considered as a feasible solution to

Network embedding aims to represent vertices in the network with low-dimensional dense real number vectors, so that the attained vertices can acquire the ability of representation and inference in vector space. With the expansion of the scale of complex networks, how to make the high-dimensional network represented in low-dimensional vector space through network becomes an important issue. The typical

Content Centric Networking (CCN) has been introduced in recent years to effectively deliver the named content objects rather than relying on the traditional host-to-host communication model, in which a significant and non-negligible characteristic of CCN is in-network caching. In this paper, we stand on the shoulders of in-network caching to propose the light forwarding based approach in order to optimize

Biometric recognition approaches have overwhelmed major issues in traditional authentication systems. Privacy invasion and security are the needed features in the effective development of biometric recognition systems. Recently some biometric techniques have been suffered to hacking trails also. Hence there is a despairing need to propose a novel cancelable iris recognition scheme. The prime objective

Internet of Things (IoT) is expected to empower all aspects of the Intelligent Transportation System (ITS), the main goal of which is to improve transportation safety. However, due to high demands by the increasing number of associated vehicles, the allocated bandwidth of ITS is inadequate. Cognitive Radio (CR) technology can be used as a solution for this high demand level. In CR, the pre-allocated

Mobile Crowd Sensing (MCS) is an emerging sensing paradigm which employs mobile devices, carried by participants, to sense real-time information. Most previous studies on task allocation in practical applications lack a way of calculating real participant density and making a detailed analysis of it. In this work, first, a fuzzy logic control method is employed to obtain the participant density in

Steganography is an art to hide information in the carriers to prevent from being detected, while steganalysis is the opposite art to detect the presence of the hidden information. With the development of deep learning, several state-of-the-art steganography and steganalysis based on deep learning techniques have been proposed to improve hiding or detection capabilities. Generative Adversarial Networks

Influencing factors analysis plays an important role in plant disease identification. This paper explores the key influencing factors and severity recognition of pear diseases using deep learning based on our established pear disease database (PDD2018), which contains 4944 pieces of diseased leaves. Using the deep learning neural networks, including VGG16, Inception V3, ResNet50 and ResNet101, we developed

The concept of unstructured Peer-to-Peer (P2P) systems—setting free from any structural constraints—has put forward an appropriate paradigm for sharing a wide assortment of resources in a distributed-sharing manner efficiently. More importantly, unstructured P2P systems’ architecture and concepts have permeated diverse spheres of today’s successful and world-famous computer science areas, including

A fundamental feature of Peer-to-Peer (P2P) networks is the honest collaboration among a heterogeneous community of participants. Secure Multi-Party Computation (SMPC) finds ways for parties to jointly compute a function using their inputs, while keeping these inputs private. In this paper, we propose a secure three-party computation which takes three inputs and outputs their sum and product without

A Correction to this paper has been published: https://doi.org/10.1007/s12083-020-01040-y

The rapid proliferation of Radio Frequency Identification (RFID) tags in the past decade has made tremendous impact on our daily lives. As part of Internet of Things (IoT), RFID technology ensures an efficient, secure and reliable system to identify tagged objects in supply chain environment such as manufacturing, automotive and healthcare. Several lightweight authentication solutions have been proposed

The original version of this article unfortunately contained mistakes.

Smart grid has been acknowledged as the next-generation intelligent network that optimizes energy efficiency. Primarily through a bidirectional communication channel, suppliers and users can dynamically adjust power transmission in real time. Nonetheless, many security issues occur with the widespread deployment of smart grid, e.g., centralized register authority and potential Distributed-Denial-of-Service

Accuratecomprehension of users’ behavior is paramount for understanding the dynamics of several systems, such as e-commerce platforms, social networks, and mobile computing. To this end, several strategies have been proposed to obtain data sets based on the capture of usage information, which can then serve for user analytics. A popular strategy consists of taking periodic snapshots of online users

Even though the Internet promotes data sharing and transparency, however it does not protect digital content. In today’s digital world, it has become a difficult task to release a DRM (Digital Rights Management) system that can be considered well-protected. Digital content that becomes easily available in open-source environments will in time be worthless to the creator. There may only be a one-time

Nowadays, vehicle theft has been increased drastically all over the world. The prevention of vehicle theft is essential to enhance vehicle security. A large number of vehicles have been stolen for the lack of essential foundation and administration of a secure platform. Several existing systems were developed to protect the vehicle from unauthorized access. But, they suffer from various limitations

With the increasing popularity of the IoTs (Internet of Things), the efficient data collection with Unmanned Aerial Vehicles (UAVs) is demanded by numerous applications. The technical challenge, which restricts the deployment of the UAVs, is the high latency of the data collection. In this paper, we focus on the problem of trajectory planning, specifically, determination of how the UAVs traverse through

The full application of machine learning has caused plenty of problems with privacy-preserving. Especially in multi-party machine learning, private data is often exposed in the aggregation,transmission, and communication phase, which leads to the problem of private data leakage. Existing works use secure multi-party computing (SMPC) or secret-sharing technology to ensure the privacy-preserving of multi-party

Data stored in physical storage or transferred over a communication channel includes substantial redundancy. Compression techniques cut down the data redundancy to reduce space and communication time. Nevertheless, compression techniques lack proper security measures, e.g., secret key control, leaving the data susceptible to attack. Data encryption is therefore needed to achieve data security in keeping

The recent global demand for video streaming applications has paved the way for peer-to-peer streaming system (P2PSS). Strategic scheduling scheme and dynamic overlay topology are essential to maintain quality of service (QoS) and quality of experience (QoE) in P2PSS. The concept of P2PSS was tailored towards relying on active peers’ bandwidth to achieve cheap and scalable means of distribution over

Routing is one of the major challenges in wireless sensor networks (WSNs). Unbalanced energy consumption in the routing process of data packets is one of the main issues in WSNs. The issue needs consideration, because the energy level of sensor nodes is limited. Multipath routing methods reduce energy consumption, improve scalability and provide load balancing in WSNs. In this study, we suggested a

Opportunistic communications as an efficient traffic offloading method can be used to offload uplink traffic of cellular networks to Wi-Fi networks. However, because of its contact pattern (contact frequency and contact duration) the offloading method could not ensure the data to be successfully offloaded to Wi-Fi Access Points (APs) within a time constraint. In this paper, we focus on maximizing the

The 5G and beyond wireless networks will be more dynamic and heterogeneous, which needs to work on multistrand waveforms. One of the most significant challenges in such a dynamic network, especially non cooperated cases, is the identification of particular modulation type, which the transmitter uses at the given time to decode the data successfully. This research proposes a modulation classification

Fifth generation (5G) mobile communication networks have the ability to deal with the growing need for increased data rates, decreased network latencies, low power consumption, seamless coverage, and massive connectivity while sustaining the high Quality of Service (QoS) at the subscriber’s end. The key drivers of beyond 5G (B5G) are anticipated to be the convergence of all the features of 5G and B5G

As a common way to identify anomalous data, outlier detection is widely applicable for intrusions detection, adverse reactions analysis, financial fraud prevention, etc. The accuracy of outlier detection depends crucially on the number of data involved in the test, i.e., the more data participate in detection, the higher accuracy we get. For this reason, cross-dataset collaborative outlier detection

It is more common for multiple users to collaborate to develop a software application in a P2P collaborative working environment. In collaborative software development, the rational allocation of software development tasks is of great significance. However, heterogeneous of software development tasks, such as the value of the task, the skill required, the effort required and difficulty, increase the

Vehicular Ad Hoc Network (VANET), a wireless network for V2X communication, provides a new opportunity to create a safer, comfortable and efficient traffic environment. However, the large scale and open environment of VANET brings many problems and challenges to information security, especially the vehicular authentication problem. Many existing authentication schemes always used complex cryptographic

Recent radio channel measurements in peer-to-peer (P2P) and mobile-to-mobile network indicate that, depending on the mobility of the terminals and scattering properties of the environment, the predominate fading mechanism contains a combination of Rayleigh and double Rayleigh fading with or without line-of-sight (LoS) component. In this paper, we present the statistical and deterministic models by

As the usage rate of cars is getting higher and higher, the injuries and losses caused by traffic accidents are also getting bigger and bigger. If some traffic accidents can be predicted, then such losses can be greatly solved. Although there are abundant research results on intelligent transportation, there are not many research results on how to predict traffic accidents. For this issue, the main

In wireless rechargeable sensor networks(WRSNs), charging path planning becomes more and more important. In this paper, a charging path planning model based on high-dimensional multi-objective optimization is proposed, which takes life cycle, distance, energy consumption and charging time into consideration. At the same time, an improved algorithm is proposed to improve the crossover mode and diversity

Interference management has always been a research hotspot in the field of wireless communications. Currently, researches based on interference management mostly focus on an interference management technology, and few studies have combined multiple interference management technologies. This paper proposes an interference management technology that combines Interference Alignment (IA) and Successive

Recently developed advanced metering infrastructure in an intelligent physical system (IPS) sorts large quantities of data available in design, whereas the potential electricity system is implemented for profits and aid in the client’s transition from inactive to an active role. This paper investigates the usage of Deep Reinforcement Learning (DRL), in Intelligent Physical System for Strategic Planning

Low latency in communication among the vehicles and RSUs, smooth traffic flow, and road safety are the major concerns of the Intelligent Transportation Systems. Vehicular Ad hoc Network (VANET) has gained attention from various research communities for such a matters. These systems need constant monitoring for proper functioning, opening the doors to apply Machine Learning algorithms on enormous data

Biological signal measurement system based on wireless sensor network is a combination of traditional medical monitor and modern communication technology. It is of great significance for clinical application and the development of medical instruments, especially in family medical treatment. The application of intelligent bionic algorithm in wireless sensor network node location has become a hot topic

When facing some emergency situations, such as fires, traffic accidents, etc., it is necessary for the network to use the available information to provide the best and fastest access routes. In these cases, it is important to centrally manage all devices throughout the network, so a software-defined network (SDN) -based architecture is used to manage and control emergency service actions and evacuation

In recent years, the rapid development of the Internet digital advertising (IDA) market has brought many issues. Low-quality advertisements (ADs) have caused significant troubles for Internet users, and the “AD fraud” has plunged the IDA ecosystem into a crisis of trust. The blockchain’s trusted computing model provides new ideas for solving the above problems. In this paper, we designed and implemented

Data security is the most critical field in Cloud Computing. The Critical data can leak through unpredictable side channels, posing very risky threats to information security. The Cache-based Side Channel Attacks (CSCAs) is one of the most challenging attacks. Different secure cache architectures have been proposed to defend against these attacks. But these solutions are not reliable to detect and

Lightweight cryptography (LWC) is a compact and advancing cryptography protocol. Internet of Things (IoT) is a cutting edge technology which is developed for resource constrained devices for communicating and sharing of information among fellow devices over internet. IoT smart objects are smallest tiny devices and it has limited processing and storage capacities and that often runs on small, low power

Service caching can improve the QoS of computationally intensive vehicle applications by pre-storing the necessary application programs and related data for computing tasks on edge servers. In this paper, we propose a new vehicle edge computing framework based on software defined networks, which introduces the reputation to measure the contribution of each vehicle as the basis for providing different

Smart contracts powered by blockchain ensure transaction processes are effective, secure and efficient as compared to conventional contacts. Smart contracts facilitate trustless process, time efficiency, cost effectiveness and transparency without any intervention by third party intermediaries like lawyers. While blockchain can counter traditional cybersecurity attacks on smart contract applications

Maximizing the full coverage lifetime over a predefined set of target points (TPs) is one of the most fundamental functions in wireless sensor networks. However, coverage performance is challenging to maintain due to the energy consumption of self-contained sensor nodes (SNs). Therefore, in this paper, we propose an energy-efficient distributed algorithm for target-coverage preservation (DATCP) that

In this paper a two phase approach for high utility itemset mining has been proposed. In the first phase potential high utility itemsets are generated using potential high utility maximal supersets. The transaction weighted utility measure is used in ascertaining the potential high utility itemsets. The maximal supersets are obtained from high utility paths ending in the items in the transaction database