scholarly journals Explainable Security in SDN-Based IoT Networks

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7326
Author(s):  
Alper Kaan Sarica ◽  
Pelin Angin
Keyword(s):  
Intrusion Detection ◽  
Real Time ◽  
Application Layer ◽  
Daily Lives ◽  
Attack Surface ◽  
Performance Results ◽  
High Degree ◽  
Intelligent Security

The significant advances in wireless networks in the past decade have made a variety of Internet of Things (IoT) use cases possible, greatly facilitating many operations in our daily lives. IoT is only expected to grow with 5G and beyond networks, which will primarily rely on software-defined networking (SDN) and network functions virtualization for achieving the promised quality of service. The prevalence of IoT and the large attack surface that it has created calls for SDN-based intelligent security solutions that achieve real-time, automated intrusion detection and mitigation. In this paper, we propose a real-time intrusion detection and mitigation solution for SDN, which aims to provide autonomous security in the high-traffic IoT networks of the 5G and beyond era, while achieving a high degree of interpretability by human experts. The proposed approach is built upon automated flow feature extraction and classification of flows while using random forest classifiers at the SDN application layer. We present an SDN-specific dataset that we generated for IoT and provide results on the accuracy of intrusion detection in addition to performance results in the presence and absence of our proposed security mechanism. The experimental results demonstrate that the proposed security approach is promising for achieving real-time, highly accurate detection and mitigation of attacks in SDN-managed IoT networks.

DESIGN QUALITY OF PUBLIC TOILET FACILITIES

2006 ◽  
Vol 13 (04) ◽  
pp. 341-354 ◽  
Author(s):  
KIN WAI MICHAEL SIU
Keyword(s):  
Hong Kong ◽  
Technological Advancement ◽  
Design Quality ◽  
Daily Lives ◽  
Metropolitan City ◽  
Modern Cities ◽  
Economical Development ◽  
High Degree ◽  
Public Toilets

More people have been considering the quality of design of public toilets and the issue of how closely this relates to the quality of the daily lives. However, the fact is that many so-called modern cities are still not equipped with public toilets of quality that matches their technological and economical development. Since the late 1990s, studies of public toilet environments and facilities have been conducted in Hong Kong — a densely populated metropolitan city and well-known tourist spot. Taking Hong Kong as a case, this paper argues that, when people in general put their focus and expectation on technological advancement, another significant way of ensuring and improving the design quality of facilities (that is, facilities with a high degree of userfitness) is to conduct serious, on-going, and in-depth studies on human-product interactions.

scholarly journals Real Time Call Monitoring System Using Spark Streaming and Network Intrusion Detection Using Distributed WekaSpark

2017 ◽  
Vol 2 (1) ◽  
pp. 7-13
Author(s):  
Darshan V S ◽  
Ria Raphael
Keyword(s):  
Intrusion Detection ◽  
Real Time ◽  
Time Data ◽  
Real Time Processing ◽  
Network Failure ◽  
Network Intrusion ◽  
Call Usage ◽  
Call Monitoring ◽  
Made In

With the increase of calls in industries it is very difficult to identify the calls made in a huge organization. The study and developing analytics out of the call history generated in terms of real time or the information stored helps in the improvement of the quality of calls in terms of network failure analysis, analysing call usage pattern from minimal to maximum to increase server efficiency, analyse user level pattern. The capability to process, analyse and evaluate real time data in a system is a challenging task, the test of building up an adaptable, shortcoming tolerant and flexible observing framework that Can deal with information continuously and at a huge scale is nontrivial. We exhibit a novel framework for real time processing and batch processing by using spark streaming and spark, also an ensemble model is used with distributed weka-spark for intrusion detection.

scholarly journals Application Layer ARQ Algorithm for Real-Time Multi-Source Data Streaming in UAV Networks

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5763
Author(s):  
Mohammed Amin Lamri ◽  
Albert Abilov ◽  
Danil Vasiliev ◽  
Irina Kaisina ◽  
Anatoli Nistyuk
Keyword(s):  
Real Time ◽  
Packet Loss ◽  
Data Flow ◽  
Critical Role ◽  
Buffer Management ◽  
Base Station ◽  
Video Data ◽  
Application Layer ◽  
Delay Jitter

Because of the specific characteristics of Unmanned Aerial Vehicle (UAV) networks and real-time applications, the trade-off between delay and reliability imposes problems for streaming video. Buffer management and drop packets policies play a critical role in the final quality of the video received by the end station. In this paper, we present a reactive buffer management algorithm, called Multi-Source Application Layer Automatic Repeat Request (MS-AL-ARQ), for a real-time non-interactive video streaming system installed on a standalone UAV network. This algorithm implements a selective-repeat ARQ model for a multi-source download scenario using a shared buffer for packet reordering, packet recovery, and measurement of Quality of Service (QoS) metrics (packet loss rate, delay and, delay jitter). The proposed algorithm MS-AL-ARQ will be injected on the application layer to alleviate packet loss due to wireless interference and collision while the destination node (base station) receives video data in real-time from different transmitters at the same time. Moreover, it will identify and detect packet loss events for each data flow and send Negative-Acknowledgments (NACKs) if packets were lost. Additionally, the one-way packet delay, jitter, and packet loss ratio will be calculated for each data flow to investigate the performances of the algorithm for different numbers of nodes under different network conditions. We show that the presented algorithm improves the QoS of the video data received under the worst network connection conditions. Furthermore, some congestion issues during deep analyses of the algorithm’s performances have been identified and explained.

Neural network classification of defects in veneer boards

2000 ◽  
Vol 214 (3) ◽  
pp. 255-258 ◽  
Author(s):  
D T Pham ◽  
S Sagiroglu
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Vector Quantization ◽  
Learning Vector Quantization ◽  
Defect Classification ◽  
Neural Network Classification ◽  
Different Types ◽  
High Degree

Learning vector quantization (LVQ) networks are known good neural classifiers which provide fast and accurate results for many applications. The aim of this work was to test if this network paradigm could be employed for the classification of wood sheet defects. Experiments conducted with LVQ networks have shown that they provide a high degree of discrimination between the different types of defects and potentially can perform defect classification in real time.

scholarly journals A Secure and Stable Multicast Overlay Network with Load Balancing for Scalable IPTV Services

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Tsao-Ta Wei ◽  
Chia-Hui Wang ◽  
Yu-Hsien Chu ◽  
Ray-I Chang
Keyword(s):  
Load Balancing ◽  
Large Scale ◽  
Overlay Network ◽  
Perceptual Quality ◽  
Application Layer ◽  
Diffie Hellman ◽  
Performance Results ◽  
Media Delivery ◽  
Large Scale Simulations

The emerging multimedia Internet application IPTV over P2P network preserves significant advantages in scalability. IPTV media content delivered in P2P networks over public Internet still preserves the issues of privacy and intellectual property rights. In this paper, we use SIP protocol to construct a secure application-layer multicast overlay network for IPTV, called SIPTVMON. SIPTVMON can secure all the IPTV media delivery paths against eavesdroppers via elliptic-curve Diffie-Hellman (ECDH) key exchange on SIP signaling and AES encryption. Its load-balancing overlay tree is also optimized from peer heterogeneity and churn of peer joining and leaving to minimize both service degradation and latency. The performance results from large-scale simulations and experiments on different optimization criteria demonstrate SIPTVMON's cost effectiveness in quality of privacy protection, stability from user churn, and good perceptual quality of objective PSNR values for scalable IPTV services over Internet.

Research of network attacks detection methods

2019 ◽  
pp. 55-59
Author(s):  
P. V. Frolov ◽  
E. V. Vershinin ◽  
S. A. Medvedeva
Keyword(s):  
Comparative Analysis ◽  
Intrusion Detection ◽  
Real Time ◽  
Suitable Method ◽  
Detection Methods ◽  
Network Attacks ◽  
Advantages And Disadvantages ◽  
Initial Analysis ◽  
F Measure

This paper reviews existing methods of network attacks detecting. A brief description of methods, their main features, advantages and disadvantages are given in accordance with the generally accepted classification of detection methods. During the initial analysis evidently inappropriate methods for this study were pointed out. Criteria for estimation of suitable methods for detecting cyberattacks in real time are given (recal, precision, F-measure). Each suitable method was estimated in accordance with the criteria. The comparative analysis of intrusion detection methods was carried out based on the obtained estimates. The most effective methods for solving problems of detecting cyberattacks in real time were chosen. A brief description of further research is given, which is based on the obtained results.

Femtocell Selection Scheme for Reducing Unnecessary Handover and Enhancing Downlink QoS in Cognitive Femtocell Networks

2017 ◽  
Author(s):  
Hoang Nhu Dong ◽  
Hoang Nam Nguyen ◽  
Hoang Trong Minh ◽  
Takahiko Saba
Keyword(s):  
Cellular Networks ◽  
Estimation Methods ◽  
Mobility Prediction ◽  
Capacity Estimation ◽  
Femtocell Networks ◽  
Selection Scheme ◽  
Indoor Communications ◽  
Performance Results ◽  
Cognitive Femtocell

Femtocell networks have been proposed for indoor communications as the extension of cellular networks for enhancing coverage performance. Because femtocells have small coverage radius, typically from 15 to 30 meters, a femtocell user (FU) walking at low speed can still make several femtocell-to-femtocell handovers during its connection. When performing a femtocell-to-femtocell handover, femtocell selection used to select the target handover femtocell has to be able not only to reduce unnecessary handovers and but also to support FU’s quality of service (QoS). In the paper, we propose a femtocell selection scheme for femtocell-tofemtocell handover, named Mobility Prediction and Capacity Estimation based scheme (MPCE-based scheme), which has the advantages of the mobility prediction and femtocell’s available capacity estimation methods. Performance results obtained by computer simulation show that the proposed MPCE-based scheme can reduce unnecessary femtocell-tofemtocell handovers, maintain low data delay and improve the throughput of femtocell users. DOI: 10.32913/rd-ict.vol3.no14.536

Development and Application of Quality Control System for Highway Subgrade Construction

2019 ◽  
Vol 2 (5) ◽  
Author(s):  
Tong Wang
Keyword(s):  
Quality Control ◽  
Real Time ◽  
Detection Method ◽  
System Development ◽  
Effective Control ◽  
Construction Process ◽  
Development Mode ◽  
The Road ◽  
Whole Process

The compaction quality of the subgrade is directly related to the service life of the road. Effective control of the subgrade construction process is the key to ensuring the compaction quality of the subgrade. Therefore, real-time, comprehensive, rapid and accurate prediction of construction compaction quality through informatization detection method is an important guarantee for speeding up construction progress and ensuring subgrade compaction quality. Based on the function of the system, this paper puts forward the principle of system development and the development mode used in system development, and displays the development system in real-time to achieve the whole process control of subgrade construction quality.

Dynamics of the processes in metal machining

1998 ◽  
Vol 2 ◽  
pp. 115-122
Author(s):  
Donatas Švitra ◽  
Jolanta Janutėnienė
Keyword(s):  
High Frequency ◽  
Machine Tools ◽  
Metal Cutting ◽  
Cutting Tool ◽  
Low Frequency ◽  
Metal Cutting Machine ◽  
Cutting Machine ◽  
Metal Machining

In the practice of processing of metals by cutting it is necessary to overcome the vibration of the cutting tool, the processed detail and units of the machine tool. These vibrations in many cases are an obstacle to increase the productivity and quality of treatment of details on metal-cutting machine tools. Vibration at cutting of metals is a very diverse phenomenon due to both it’s nature and the form of oscillatory motion. The most general classification of vibrations at cutting is a division them into forced vibration and autovibrations. The most difficult to remove and poorly investigated are the autovibrations, i.e. vibrations arising at the absence of external periodic forces. The autovibrations, stipulated by the process of cutting on metalcutting machine are of two types: the low-frequency autovibrations and high-frequency autovibrations. When the low-frequency autovibration there appear, the cutting process ought to be terminated and the cause of the vibrations eliminated. Otherwise, there is a danger of a break of both machine and tool. In the case of high-frequency vibration the machine operates apparently quiently, but the processed surface feature small-sized roughness. The frequency of autovibrations can reach 5000 Hz and more.

Paepalanthus fabianeae (Eriocaulaceae): A New Microendemic Species from a Morphologically Coherent Clade

2020 ◽  
Vol 45 (4) ◽  
pp. 794-801
Author(s):  
Caroline Oliveira Andrino ◽  
Marcelo Fragomeni Simon ◽  
Jair Eustáquio Quintino Faria ◽  
André Luiz da Costa Moreira ◽  
Paulo Takeo Sano
Keyword(s):  
New Species ◽  
Iucn Red List ◽  
Phylogenetic Position ◽  
Similar Species ◽  
Infrageneric Classification ◽  
Espinhaço Range ◽  
Nuclear Its ◽  
Two Populations

Abstract—We describe and illustrate Paepalanthus fabianeae, a new species of Eriocaulaceae from the central portion of the Espinhaço Range in Minas Gerais, Brazil. Previous phylogenetic evidence based on analyses of nuclear (ITS and ETS) and plastid (trnL-trnF and psba-trnH) sequences revealed P. fabianeae as belonging to a strongly supported and morphologically coherent clade containing five other species, all of them microendemic, restricted to the Espinhaço range. Due to the infrageneric classification of Paepalanthus being highly artificial, we preferred not assigning P. fabianeae to any infrageneric group. Paepalanthus fabianeae is known from two populations growing in campos rupestres (highland rocky fields) in the meridional Espinhaço Range. The species is characterized by pseudodichotomously branched stems, small, linear, recurved, and reflexed leaves, urceolate capitula, and bifid stigmas. Illustrations, photos, the phylogenetic position, and a detailed description, as well as comments on habitat, morphology, and affinities with similar species are provided. The restricted area of occurrence allied with threats to the quality of the habitat, mainly due to quartzite mining, justifies the preliminary classification of the new species in the Critically Endangered (CR) category using the guidelines and criteria of the IUCN Red List.

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