Promptly discovering unknown network attacks is critical for reducing the risk of major loss imposed on organizations and information infrastructure. This paper aims at developing an intelligent intrusion detection system capable classifying known as well inferring ones. To achieve this, we formulate problem fine-grained known/unknown a two-stage minimization problem, where first stage to seek score measure minimizing empirical misclassifying attacks, while second find another identification...

The soaring mobile data traffic demands have spawned the innovative concept of edge caching in ultra-dense next-generation networks, which mitigates their heavy burden. We conceive cooperative content sharing between base stations (BSs) for improving exploitation limited storage a single cache. formulate problem as partially observable Markov decision process (POMDP) based multi-agent problem, jointly optimizes costs fetching contents from local BS, nearby BSs and remote servers. To solve...

Driven by the prevalence of computation-intensive and delay-intensive mobile applications, Mobile Edge Computing (MEC) is emerging as a promising solution. Traditional task offloading methods usually rely on centralized decision making, which inevitably involves high computational complexity large state space. However, MEC typical distributed system, where edge servers are geographically separated, independently perform computing tasks. This fact inspires us to conceive cooperative each...

With the development of lithium-ion battery (LIB) technology and increasing popularity electric vehicles, issue safety has become increasingly urgent. The state health (SOH), known as a critical parameter in prognosis management LIBs, considerable attention from industry academia. This article proposes novel method for estimating SOH LIBs based on sliding window (SW) sampling charging curves independently recurrent neural network (IndRNN). Considering number cycles practical applications, SW...

The deployment of UAVs as aerial base stations (BSs) has been considered a promising supplement to the ground networks, which can quickly build an emergency communication network in disaster area or significantly relief burden imposed by hot-spots. However, application BSs is constrained limited onboard energy and coverage UAVs. In particular, for large target area, multiple should be deployed meet requirements. Therefore, designing optimal trajectories crucial boost UAV performance....

Machine-to-machine (M2M) communications have many applications, such as in smart grid, health monitoring/alerting, and intelligent transportation. Due to unique characteristics that are different from the traditional human-to-human communications, numerous design challenges be tackled M2M. A critical issue is of dealing with massive access machine-type communication (MTC) devices while guaranteeing desired quality service (QoS). In this paper, we group MTC into clusters based on their QoS...

Aeronautical Ad-hoc Networks (AANETs) have been proposed as the promising complement to terrestrial networks for promoting global interconnection provide in-flight network service, emergency communication, vessel traffic etc. However, large scale of AANETs may induce severe synchronization overhead when traditional topology-based networking algorithms are adopted. Moreover, high-dynamic topology and changeable flight routes make existing position-based routing suffer loop forwarding failure....

The Low Earth orbit Remote Sensing (LRS) satellite network is envisioned as an essential component of bolstering space information applications, thus extending conventional ground applications to the on-board applications. However, it inevitably faces grave challenges imposed by dynamics network's topology, intermittence Inter-Satellite communication Links (ISLs) well mobility-induced satellite-access switching mobile terminals. Hence, this a very different networking landscape from that...

The unmanned aerial vehicle (UAV) swarm is widely applied in many fields, such as disaster relief and geological exploration. However, it highly vulnerable when facing an attack from internal malicious UAVs due to the underlying disconnected, intermittent, limited (DIL) network environment. Recently, building trusted networks has been considered a strategy address security issues. Nevertheless, deploying faces challenges imposed by dynamic topology resources of DIL networks. In order...

The volatile, covert and slow multistage attack patterns of Advanced Persistent Threat (APT) present a tricky challenge APT detection, which are vital for organisations to protect their critical assets. In this article, we aim develop system that aggregates uses existing systems' alerts detect APTs. order achieve this, propose causal correlation aided semantic analysis system, called <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Poirot</small>...

Smart community networks bring great comfort and convenience for people, but also increase security risks of exposing system vulnerabilities private data to network intruders. This problem has become more prominent as the ever-increasing zero-day attacks which may escape existing intrusion detection (IDS) through unknown vulnerabilities. In this article, keep up with continuous change attacks, we conceive an evolvable IDS (EIDS), where model is incrementally updated turn newfound "unknown"...

Due to the concentrated distribution of network traffic, Internet is highly vulnerable link flooding attack in Distributed Denial-of-Service attacks (DDoS-LFA), which utilizes legitimate low-rate traffic block selected area. In recent years, building trusted networks has been considered as a promising strategy address security issues. Nevertheless, deploying defense mechanism attacked area faces many challenges imposed by smart scheme and disguise DDoS-LFA. order overcome these challenges,...

Scalable Video Coding (SVC) has been raised as a promising technique to enable flexible video transmission for mobile users with heterogeneous terminals and varying channel capacities. In this paper, we design an adaptive layer switching algorithm on-demand scalable service based on receiver's buffer underflow probability (BUP). Since the low quality of may lead fullness, fullness is indicator reflecting condition define BUP characterizing mismatch between bitrate throughput. Accordingly,...

Low Earth Orbit (LEO) satellite networking has been an indispensable and promising concept for extending the Internet coverage of future space-air-ground integrated networks to oceanic remote airspace. However, topology dynamics LEO Satellite Network (LEO-SN) network state perception (Li <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">et al.</i> , 2019) intermittent nature Inter-Satellite Links (ISLs) multipath routing discovery (Wang 2019,...

Electric vehicles are regarded as a significant way to mitigate the global energy crisis and environmental pollution problem. Motor control is very important part for electric vehicles. As hardware, motor controller usually has components such power module, microprocessor unit, IGBT driver, sensors, resolver-to-digital convertor. software, field-oriented (FOC) with space vector pulse width modulation (SVPWM) popular method, while model predictive (MPC) recently shown great potential in...

Widespread deployment of Small Satellite Networks (SSN) fosters the foreseen integration space-air-ground networks to provide worldwide Internet access oceanic and remote airspace. However, dynamic topology SSN, lossy wireless link, limited transmission resources induce unprecedented challenges Deterministic Network Transmission (DSNT) for sake improving utility SSN facility. Motivated by these challenges, this work aims develop a approach with deterministic Spatio-temporal routing,...

Both wireless small-cell communications and software-defined networking (SDN) in wired systems continue to evolve rapidly, aiming for improving the quality of experience (QoE) users. Against this emerging landscape, we conceive scalable video streaming over SDN-aided dense smell-cell networks by jointly optimizing layer selection, resource allocation, dynamic routing streams. In light ambitious objective, a network architecture fine-grained manipulation streams relying on cooperation base...

Software-defined networking (SDN) has emerged as a promising network technology supporting the intelligent and dynamic nature of future networks applications. Against this changing landscape, authors design an SDN-based, scalable multimedia multicast streaming framework, which optimizes flow management provides scalability flexibility. The proposed framework is capable in-network identification, processing, media streams. It implements network-layer similar to IP multicast, but it allows...

This paper describes the development of an intelligent energy management network (IEMN) using concept a surrogate object-communication model and three-layered architecture. The proposed IEMN is characterized by its architecture application services. From point view, area control center, building station, BACnet facility. service provides to integrate system functions facility system. offers several advantages such as distributed ability data processing analysis online. hierarchical makes it...

Aided by scalable video coding, multirate multicast has become a promising technique of providing differentiated quality experience (QoE) for massive numbers subscribers operating in heterogeneous channel conditions. Nevertheless, due to the time-varying nature wireless channels and subscribers' diverse requirements, it is challenging dynamically control rate light available radio resource achieve best QoE. To elaborate little further, time scale scheduling short-term nature, which...

Video services such as short video sharing have exploded due to the rapid development of Internet social media platforms. Caching segments on satellites effectively shortens service delay and speeds up sharing, especially for users without terrestrial access. However, where place what how replace it in time is by no means an easy task, requiring careful consideration many factors, e.g., satellite coverage, popularity, limited caching resource. In this paper, we propose a coverage-aware...