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SDN Security through System Call Learning 11

SDN Security through System Call Learning

引用

11th IFIP international conference on New Technologies, Mobility and Security, NTMS 2021

作者： Chasaki, Danai Mansour, Christopher Villanova University Department of Electrical and Computer Engineering United States Mercyhurst University Department of Computing and Information Science United States

ISBN: (纸本)9781665443999

Software Defined networking (SDN) has changed the way of designing and managing networks. this technology emerged from the efforts to make the networks more programmable. Programmability allows the development of various third-party applications that can be used by network administrators to implement essential networking functionalities. However, programmability also introduces security threats. In this paper we address the issue of malicious hosts running malicious applications that bypass the standard SDN based detection mechanisms. the SDN security system we are proposing periodically monitors the system calls utilization of the different SDN applications installed, learns from past system behavior using machine learning classifiers, and thus accurately detects the existence of an unusual activity or a malicious application. © 2021 IEEE.

关键词： Learning systems

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Fog computing Service Placement Orchestrator

Fog Computing Service Placement Orchestrator

引用

international Conf on Electrical and Electronic Engineering (ICEEE)

作者： Nerijus Šatkauskas Algimantas Venčkauskas Nerijus Morkevičius Faculty of Informatics Kaunas University of Technology Kaunas Lithuania

ISBN: (数字)9798350362541

ISBN: (纸本)9798350362558

Fog computing being an extension of cloud computing is meant to provide services at the edge of the network. It is expected to deal with the QoS problems which cloud computing cannot solve alone. One of the challenges in this heterogeneous device environment with a high mobility is an optimized service placement. Highly mobile end-devices and constantly changing fog node resources require distributed orchestration methods for optimized performance and resilience. We propose a service placement orchestrator model which is distributed across all the fog nodes for better resilience. It supports end-device mobility since end-devices can dynamically connect to fog nodes. And the service placement is optimized based on IMOPSO and AHP methods. As it is visible from the test results, currently a placement problem solving takes at least 50% of time in a powerful node such as PC, but it can slow down even more in a less powerful hardware. However, it is a fully functional solution in real-life conditions with up to 10 nodes and 30 services delivering a placement in almost 0.5 second.

关键词： Performance evaluation Cloud computing Computational modeling Scalability Quality of service Synchronization Security Problem-solving Resilience Edge computing

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A Combined Sentiment Analysis of Twitter for Identifying Users with Depression

A Combined Sentiment Analysis of Twitter for Identifying Use...

引用

international conference on Behavior, Economic and Social computing (BESC)

作者： Abinaya Gopalakrishnan Xujuan Zhou Revathi Venkataraman Raj Gururajan Ka Ching Chan Guohun Zhu Niall Higgins School of Business University of Southern Queensland Springfield Australia Department Networking and Communications SRM Institute of Science and Technology Chennai India Royal Brisbane and Women's Hospital Herston Australia

ISBN: (数字)9798331531904

ISBN: (纸本)9798331531911

In recent years, there has been an increased interest in understanding how sentiment analysis of social media users can be achieved using machine learning techniques. By examining online discourse, an assessment may be made of an individual's mood patterns over a period of time. this study will focus on users of Twitter because of the unique challenges associated with analysing of these short messages known as Tweets. they include words and other forms of media, such as emoticons, images and video. We propose a multimodal technique for evaluating the words, acronyms and emoticons of daily posts by 179 users to identify those experiencing symptoms of depression. Harmonic analysis was employed in a hybrid approach of word based and learning based linguistic content analysis. A support vector machine was then used to predict the valence of a Tweet to be either ‘Negative’, ‘Neutral’ or ‘Positive’ and compared this with other well known sentiment analysis approaches. Outcomes were aggregated daily to compute a user's mood for 30 days. Experimental findings demonstrated that this technique has a better accuracy of predicting mood than current state-of-the-art methods.

关键词： Support vector machines Sentiment analysis Social computing Pediatrics Accuracy Mood Social networking (online) Terminology Blogs Depression

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Deep quantile regression based wind generation and demand forecasts 11th

Deep quantile regression based wind generation and demand fo...

引用

11th international conference on Soft computing and Pattern Recognition, SoCPaR 2019, and 11th World Congress on Nature and Biologically Inspired computing, NaBIC 2019

作者： Kirthika, N. Ramachandran, K.I. Kottayil, Sasi K. Department of Electrical and Electronics Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Coimbatore India Center for Computational Engineering and Networking Amrita School of Engineering Amrita Vishwa Vidyapeetham Coimbatore India

ISBN: (纸本)9783030493448

the widespread attention in the growth of clean energy for electricity production necessitates an accurate and reliable generation and demand forecasts. However, the decision-making process in electric power industry involves more uncertainty due to the transition towards distributed energy systems, which are not addressed in the conventional point forecasts. this paper proposes a probabilistic method termed as Deep Quantile Regression (DQR) for the construction of prediction intervals (PIs) that can potentially quantify uncertainty in the point forecasts of wind power generation and demand. the effectiveness of DQR is examined using the low and high seasonal wind and demand datasets. PIs with various confidence levels of 99%, 95% and 90% are estimated by constructing the appropriate quantiles using the proposed DQR method. the quantitative comparison of the quality in all the estimated PIs using the proposed method proves to outperform the other state-of-the-art methods. © the Editor(s) (if applicable) and the Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

关键词： Uncertainty analysis

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Design and Simulation of Resource Demand Forecasting Algorithm in Vehicular Edge Network 11th

Design and Simulation of Resource Demand Forecasting Algorit...

引用

11th international conference on Computer Engineering and Networks, CENet2021

作者： Wu, Mengxiao Rui, Lanlan Chen, Shiyou Yang, Yang Qiu, Xuesong Wang, Zhili State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9789811665530

Vehicle edge computing is a combination of mobile edge computing and traditional vehicular network. the goal of vehicle edge computing is to put communication resource and computing resource near user location. Different from traditional mobile edge computing, vehicle edge computing is characterized by rapid vehicle movement, which results in constant dynamic changes of network topology and computing resources. When resource requirements exceed the load threshold of the edge node, the performance of the service will decrease. In order to solve the lag problem of task allocation, it is necessary to proactively forecast resource demand. the research work is carried out from two aspects. First, the specific scenarios of vehicle network were investigated and analyzed to propose the business resource requirements to be predicted based on the resource consumption of cloud platform and mobile edge computing. Secondly, we designed a multi-dimensional time series prediction algorithm based on deep learning to build a neural network structure in line with business characteristics. the result shows that the prediction accuracy has good application value. the results of this paper will lay a foundation for the research of resource mapping mechanism, edge node scheduling and resource allocation between resource demand and edge stage capability model. © 2022, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Vehicles

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Design of distributed Ultra-High-Definition Resolution Display System

Design of Distributed Ultra-High-Definition Resolution Displ...

引用

international conference on Computer Science and Network Technology (ICCSNT)

作者： Qiaojie Huang Peiqiang Liu Qiye Fu Yunjian Xu School of Intelligent Engineering Guangdong Agriculture Industry Business Polytechnic Guangzhou China Computing Network Research and Operation Department GuangDong Branch China United Network Communications Corporation Limited Guangzhou China

A practical and scalable ultra-high-definition resolution display system for multi-screen display wall is constructed based on multiple distributed low-definition display nodes, and the collaborative processing mechanism between distributed display nodes is the key to the performance of the display system. In order to improve the performance of image synchronization between distributed nodes, a node collaboration mechanism based on IEEE1588 time synchronization protocol and phase-locked loop is proposed. A synchronization processing system applied to ultra-high-definition resolution displays is designed, which not only shortens the image processing time but also improves the image synchronization processing performance. the system synchronization test results show that the maximum display frame difference between splicing display units is 0.47 frame and the average system delay is 98.67ms. the provided system can effectively shorten system data processing time, solve synchronization problems of ultra-high-definition resolution displays, meet requirements of large screen display images, and improve users' experience effect.

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18th international conference on Mobile Systems and Pervasive computing, MobiSPC 2021, the 16th international conference on Future Networks and Communications, FNC 2021 and the 11th international conference on Sustainable Energy Information Technology, SEIT 2021

18th International Conference on Mobile Systems and Pervasiv...

引用

18th international conference on Mobile Systems and Pervasive computing, MobiSPC 2021, the 16th international conference on Future Networks and Communications, FNC 2021 and the 11th international conference on Sustainable Energy Information Technology, SEIT 2021

the proceedings contain 72 papers. the topics discussed include: user interface matters: analyzing the complexity of mobile applications from a visual perspective;rediscovering refugee routes: on the creation of collective memory map services;city tourism services with mobile geolocation sharing;smart city transition pillars with layered applications architecture;energy efficient task scheduling in fog environment using deep reinforcement learning approach;using time-correlated noise to encourage exploration and improve autonomous agents performance in reinforcement learning;sustainability of load balancing techniques in fog computing environment: review;and toward fast and reliable active-active geo-replication for a distributed data caching service in the mobile cloud.

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Design and Implementation of Gray Publishing System under distributed Application Microservice 11

Design and Implementation of Gray Publishing System under Di...

引用

11th international conference on Power and Energy Systems (ICPES)

作者： Chen, Hui Qi, Wenjun Li, Wenjie Shuai, Shuai Zheng, Fei Yu, Zhongjie Jiangsu Frontier Elect Power Technol Co Ltd Smart Grid Serv Ctr Nanjing Peoples R China

ISBN: (纸本)9781665413251

the release of the information system version poses a certain risk to the normal operation of the system. Based on the information system micro service architecture, this paper studies the entrusted management of the information system according to the EDAs gray level table under different gray levels, and provides all-round solutions in combination with the different needs of system development, configuration, monitoring, operation and maintenance, so as to effectively improve the core computing capability of the platform under the micro service architecture and realize the online release and loss free return of the system, Reduce system release risk and improve system service quality.

关键词： information system gray scale publishing EDAS

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Task Allocation Mechanism of Power Internet of things Based on Edge Routing Optimization 11th

Task Allocation Mechanism of Power Internet of Things Based ...

引用

11th European-Alliance-for-Innovation (EAI) international conference on Game theory for Networks (GameNets)

作者： Zhong, Cheng Li, Yi Shao, Sujie Guo, Shaoyong Wang, Qianjun State Grid Hebei Elect Power Co Ltd Xiongan New Dist Power Supply Co Xiongan 071600 Hebei Peoples R China Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing 100876 Peoples R China

ISBN: (纸本)9783031231407;9783031231414

With large number of smart devices accessing the power Internet of things, cooperative edge computing has become a new computing paradigm for delay sensitive business. However it still faces some challenges today: 1) task allocation in edge networks, 2) route selection during data transmission. this paper proposes a cooperative computing mechanism based on edge routing optimization for power Internet of things to solve these problems. Firstly, establish a task allocation model based on multi-edge-node cooperation in which the data routing process includes three stage: sending route, merging route and returning route. the model is designed to minimize the average task completion delay. Secondly, Improved Biogeography-based Optimization in Task Allocation and Sending Route Selection (IBBO-TASRS) algorithm is proposed to solve the task allocation and route selection. the simulation results show that the proposed algorithms can reduce the service delay well.

关键词： Power Internet of things Cooperative edge computing Task allocation Route optimization

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Resource Scheduling Algorithms for Burst Network Flow in Edge computing 11th

Resource Scheduling Algorithms for Burst Network Flow in Edg...

引用

11th international conference on Computer Engineering and Networks, CENet2021

作者： Yan, Jingyang Rui, LanLan Yang, Yang Chen, Shiyou Chen, Xingyu State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9789811665530

Nowadays, Mobile Edge computing (MEC) has become an effective solution to the problem of insufficient computing power of mobile terminals. However, edge computing also has some limitations, the variability of the edge environment makes resource scheduling in edge computing difficult. Especially in the face of large-flow data processing caused by emergencies, there is still a lack of in-depth research and exploration. In order to solve this problem, this paper proposes an resource scheduling algorithms for burst network flow in edge computing. When the MEC server encounters an burst event, the algorithm uses a certain number of edge servers near the incident site as a cluster to uniformly perform resource scheduling and task allocation to alleviate the pressure on the MEC server that encountered the burst event, thereby efficiently processing service requests in this scenarios. this paper uses python to build a simulation platform and implement algorithms. And we designed a simulation experiment to compare the average response time of service requests, server load and other indicators with Markov approximation algorithm, exhaustive search algorithm and other benchmark algorithms. Simulation analysis shows that the algorithm we proposed performs better than these algorithms when encounters an burst event. © 2022, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Resource allocation

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