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communications and Information Technologies (GCCIT), Global conference on

作者： A R Aravind Mahesh Manchanda Subbulakshmi Ganesan Priyanka More A. Amudha Nittin Sharma Department of Electronics and Communication Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai Computer Science and Engineering Graphic Era Hill University Dehradun School of Sciences Chemistry and Biochemistry Jain (Deemed to be University) Bangalore Karnataka Computer Engineering Vishwakarma Institute of Technology Pune India Department of Electrical and Electronics Engineering Karpagam Academy of Higher Education Coimbatore Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India

ISBN: (数字)9798350388916

ISBN: (纸本)9798350388923

The ultimate goal of next-gen networks is seamless communication across all types of devices, systems, people, and machines. Given the chance for network-wide effect of a single hack, this interconnectedness raises issues about privacy and security. Regardless of the precise data transmitted, radio frequencies fingerprint (RF fingerprint) analysis is a crucial technique used to physically identify the distinct radio transmitter. The RF fingerprint represents the variations in radio transmitter internal components and includes extensive nonlinear properties. The extraction and identification of radio frequency fingerprints has been widely used to improve the safety of radio frequency communications in both civilian and military settings. In response to this threat, the Zero Trust (ZT) model has emerged as an important tool for protecting data privacy and network security. With an emphasis on resource-constrained IoT devices, this study offers EPS-CNN, a new framework for wireless device identification that utilizes deep learning. It is intended to function as the device authentication layer inside the ZT architecture. The heart of EPS-CNN is a Convolutional Neural network (CNN) that uses a specific representation of RF signals called the Double-Sided Envelope Power Spectrum (EPS) to build a device identity. This EPS captures the hardware characteristics of the device and ignores information that isn't related to it. When evaluated in same-domain (day, setting, and channel) settings, the suggested structure achieves testing accuracy of over 99%. When tested in crossday and cross-location scenarios, it achieves 93% accuracy. By providing a groundbreaking approach to enable ZT IoT device identification, our research proves that the suggested framework is the best way to improve the precision, resilience, and flexibility of deep learning-based methodologies.

关键词： Radio frequency Accuracy Radio transmitters Authentication Fingerprint recognition Zero Trust Internet of Things Object recognition Convolutional neural networks Radiofrequency identification

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RETHINKING ISP architectureS THROUGH VIRTUALIZATION

RETHINKING ISP ARCHITECTURES THROUGH VIRTUALIZATION

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International conference on Data communication networking

作者： Alejandro Cordero David Fernandez Departamento de Ingenieria de Sistemas Telematicos Universidad Politecnica de Madrid

ISBN: (纸本)9789898425690

network virtualization is a powerful technology that has been proposed as a mean to evolve the current Internet, allowing the introduction and testing of future network technologies over present infrastructures in coexistence with our current production networks. However, apart from a path to the Future Internet, network virtualization can also be a key technology that modifies and improves today ISP networks. This paper analyses how network virtualization and all the technologies being developed around it can influence and evolve the present ISP network architectures and business models. Starting from the well-known ISP architecture made of access, distribution and core layer;we present and discuss the benefits that can be achieved by introducing virtualization technologies in each layer.

关键词： network virtualization ISP architectures Future internet

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Collaborative Intrusion Detection as a Service in Cloud Computing Environment

Collaborative Intrusion Detection as a Service in Cloud Comp...

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2015 IEEE International conference on Progress in Informatics and Computing(PIC 2015)

作者： Hong Liang Yufei Ge Wenjiao Wang Lin Chen College of Computer and Communication Engineering China University of Petroleum （East China）

With the growing trends of cloud computing, the security issues in this area are growing at the same speed as its development. Some malicious intruders and other malware activities tend to find the inner vulnerabilities and spare no effort to control the administration or conduct the pure break-down service with curiosity or on purpose. Traditional defense systems such as firewall, intrusion detection and malware code system are still utilized in nowadays network scenes, but they may not support enough in cloud computing environment with oldfashioned architectures. Here we focus on intrusion detection system（IDS） to defend against intruders and other attacks. In this paper, we proposed a collaborative intrusion detection service and our goal is to make use of the state-of-the-art computing framework in cloud environment and to provide a rounded IDS service for both cloud providers and cloud tenants, while the collaborative architecture will help to respond to the attacks promptly. We set up our system prototype and discuss the empirical results on the preference. The experimental results demonstrate that our system does enhance the security when some network-based attacks happen and ensure that both cloud service providers and tenants are protected with satisfaction.

关键词： cloud computing collaborative IDS intrusion detection

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OpenIaC: Open infrastructure as code - The network is my computer

Research Square

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Research Square 2021年

作者： Rong, Chunming Geng, Jiahui Hacker, Thomas J. Bryhni, Haakon Jaatun, Martin G. Dept. of Electronic Engi. and Computer Science University of Stavanger Stavanger Norway Department of Computer and Information Technology Purdue University West LafayetteIN United States Simula Metropolitan Center for Digital Engineering Oslo Norway SINTEF Digital Trondheim Norway

Modern information systems are built fron a complex composition of networks, infrastructure, devices, services, and applications, interconnected by data flows that are often private and financially sensitive. The 5G networks, which can create hyperlocalized services, have highlighted many of the deficiencies of current practices in use today to create and operate information systems. Emerging cloud computing techniques, such as Infrastructure-as-Code (IaC) and elastic computing, offer a path for a future re-imagining of how we create, deploy, secure, operate, and retire information systems. In this paper, we articulate the position that a comprehensive new approach is needed for all OSI layers from layer 2 up to applications that are built on underlying principles that include reproducibility, continuous integration/continuous delivery, auditability, and versioning. There are obvious needs to redesign and optimize the protocols from the network layer to the application layer. Our vision seeks to augment existing Cloud Computing and networking solutions with support for multiple cloud infrastructures and seamless integration of cloud-based microservices. To address these issues, we propose an approach named Open Infrastructure as Code (OpenIaC), which is an attempt to provide a common open forum to integrate and build on advances in cloud computing and blockchain to address the needs of modern information architectures. The main mission of our OpenIaC approach is to provide services based on the principles of Zero Trust architecture (ZTA) among the federation of connected resources based on Decentralized Identity (DID). Our objectives include the creation of an open-source hub with fine-grained access control for an open and connected infrastructure of shared resources (sensing, storage, computing, 3D printing, etc.) managed by blockchains and federations. Our proposed approach has the potential to provide a path for developing new platforms, business models, and a m

关键词： 5G mobile communication systems

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Resource Management in Software Defined Coalitions (SDC) through Slicing

Resource Management in Software Defined Coalitions (SDC) thr...

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MILCOM, Military communications conference

作者： Athanasios Gkelias Nitish K. Panigrahy Mohammad Mobayenjarihani Kin K. Leung Don Towsley Patrick J. Baker Olwen Worthington Laurence Fowkes Imperial College London UK University of Massachusetts Amherst USA Royal Air Force UK Defence Science and Technology Laboratory UK Strategic Command Defence Digital UK

Future defence infrastructure systems will require increased flexibility and agility to respond to changing application goals, external threats and complex environments. A key enabler for such agility is Software Defined Coalitions (SDC), where the network comprise multiple domains of resources owned by different defence units (partners) but dynamically joined together to form an infrastructure for communications and computation. Software Defined (SD) Slicing aims to enable agile and near-real-time provision and configuration of “slices” of the infrastructure resources for supporting future communications and computing applications. An SD slice, makes use of the allocated resources distributed across several domains to support a set of applications including distributed analytic services. We present a 3-level control architecture with a global SD-slice controller at the top, domain controllers (DC) in the middle, and dynamic, end-to-end flow controllers at the bottom. Associated with each DC is a domain inference engine whose function is to estimate availability of various resources in that domain. Based on the inferred resource availability in domains, the global controller determines the feasibility of supporting a new SD slice and if so, allocates resources to achieve/maintain the required performance of all slices. Based on the resources allocated by the global controller, the slice controller is responsible for sharing the resources across domains among data/processing flows to optimize resource utility. The end-to-end flow controllers then allocate resources to data flows or processing tasks according to dynamic conditions of resources for efficiency and robustness.

关键词： Military communication conferences Process control Computer architecture Dynamic scheduling Software Robustness

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Recognition of Cognitive Task Load levels using single channel EEG and Stacked Denoising Autoencoder

Recognition of Cognitive Task Load levels using single chann...

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Chinese control conference (CCC)

作者： Zhong Yin Jianhua Zhang Shanghai Key Lab of Modern Optical System University of Shanghai for Science and Technology Shanghai Shanghai CN East China University of Science and Technology Shanghai Shanghai CN

Evaluation of operator Cognitive Task Load (CTL) level is quite crucial in Human-Machine (HM) collaborative task environment since operator mental overload or inattention caused by abnormal CTL states may lead to human performance degradation or even catastrophic accidents. One of the most practical approaches tackling this issue is to use ongoing electroencephalogram (EEG) in which human cognitive state can be objectively estimated. However, the accurate recognition of CTL via single channel EEG with the lowest-intrusivity to task condition is particularly challenging as EEG is characterized by individual dependency and nonstationarity. In this paper, a deep learning model designed by Stacked Denoising AutoEncoder (SDAE) is employed on single EEG channel signal to estimate binary levels (low vs. high) of CTL. By adopting a simulated HM process control system, the operator EEG data for 8 healthy subjects under different task demands were collected on two experimental sessions across two consecutive days. Based on the computed full power spectral of EEG. the number of nodes in SDAE is determined by greedy search according to the optimal training error of each layer. The shallow layers of the designed deep network are used to extract the subject-specific information related to CTL variation while the stable power features were reconstructed in those deep layers. Finally, the proposed method is demonstrated to be effective and 74% classification rate across sessions in average of all subjects were achieved.

关键词： Decision support systems 5G mobile communication

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Analysis of an Offshore Medium Voltage DC Microgrid Environment - Part II: communication network architecture

Analysis of an Offshore Medium Voltage DC Microgrid Environm...

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IEEE PES Transmission and Distribution conference and Exposition

作者： Velin Kounev David Tipper Brandon M. Grainger Gregory Reed School of Information Science University of Pittsburgh Department of Electrical & Computer Engineering University of Pittsburgh

ISBN: (纸本)9781479936571

The microgrid is a conceptual solution proposed as a plug-and-play interface for various types of renewable generation resources and loads. The high-level technical challenges associated with microgrids include (1) operation modes and transitions that comply with IEEE1547 and (2) control architecture and communication. In Part I, the emphasis is on the design of an electrical control architecture for an offshore oil drilling platform powered by wind generation. Engineering a distributed control system having safety critical features, requiring real-time performance is challenging. In this follow-up article we introduce the communication framework for the microgrid scenario under investigation. In all communication networks, scholastic delays and performance are inherent. The only feasible approach is to put bounds on the random processes, qualitatively define the worst cases, and build the distributed control system to be resilient enough to tolerate those behaviors. This is the approach taken by this paper. We propose a communication architecture, discuss performances requirements of the sub-systems, and layout network solutions meeting those specifications.

关键词： DC Microgrids Distributed control architecture communication network Performance and Availability Security

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EMI sources from mode conversion in a Telco system high-speed SERDES

EMI sources from mode conversion in a Telco system high-spee...

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Electronic Components and Technology conference (ECTC)

作者： Greg Pitner Daniel N. De Araujo Isaac Waldron Minhong Mi Bhyrav Mutnury Nam Pham ANSYS Inc. Austin TX USA IBM Systems and Technology Group Austin TX USA

Prediction of signal integrity (SI) and electromagnetic interference (EMI) from multilayer circuit boards is an important problem which is of interest to high speed digital system designers. SI and EMI control should be treated as a design problem from the start and it should be given the necessary resources throughout the design process. This can only be accomplished with accurate and effective electrical modeling of the complex interconnection structures. In this paper, electrical modeling methods are described where both differential-mode and common-mode effects and their conversions are accurately captured. Common-mode imbalances degrade the signal integrity margins making the system more susceptible to failure with increased EMI radiation. Simulation models are developed to properly quantify mode conversion mechanisms. A high speed blade system is chosen as a test bench to demonstrate the characterization methodology. The blade chassis is a compact, modular, rack mount scalable server system with support for twelve single-wide server blades. all high-speed communication occurs through a backplane using four sets of redundant fabrics, yielding a total of eight network connections per blade. This architecture allows for communication between any blade server and the chassis management units, the I/O switch modules, the high speed switch modules, and the I/O bridge modules. In the high speed differential serial channel design process it is important to model differential to common mode conversion. In order to minimize the differential insertion loss, increase the signal to noise ratio at the receiver to improve bit-error rate (BER) and minimize EMI, careful analysis of sources of loss, imbalance, and skew within the channel is needed. In this work, we demonstrate the importance of common-mode noise to radiation from a PCB. We then focus on mode conversion due to proximity of transmission lines to plane edges, impedance mismatch, current return path variation, trac

关键词： Electromagnetic interference Blades Switches network servers Process design communication switching Bit error rate Couplings Nonhomogeneous media Printed circuits

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A Novel Method for Virtual Topology Design of WDM networks under Traffic Demand Uncertainties

A Novel Method for Virtual Topology Design of WDM Networks u...

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2006 International conference on communications,Circuits and systems(第四届国际通信、电路与系统学术会议)

作者： Fei Yang Lemin Li Sheng Wang Xiaoning Zhang Key Laboratory of Broadband Optical Fiber Transmission and Communication Networks University of Electronic Science and Technology of China Chengdu 610054 P.R. China

In this paper, we propose a novel method to address the problem of designing virtual topology over WDM networks under traffic demand uncertainties. We present a traffic model under uncertainties. The optimization goal of virtual topology design is defined as minimizing the maximum value among p percentiles of the traffic distribution on all light-paths. Correspondingly, we propose a heuristic algorithm called ID-MLTDA (Improved Decreasing Multi-hop Logical Topology Design) that involves with a degree of uncertainties to design virtual topology. The proposed algorithm yields better performance than previous algorithms. Additionally, the simplicity and efficiency of the proposed algorithm can be in favor of the feasibility for topology design of large networks.

关键词： network topology WDM networks Telecommunication traffic Uncertainty optical fiber networks Wavelength division multiplexing Wavelength routing Circuit topology Algorithm design and analysis Traffic control

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Parametric Optimization of the Co-Pyrolysis of Cocos Nucifera Coir and Polyethylene Terephthalate Bottles

Parametric Optimization of the Co-Pyrolysis of Cocos Nucifer...

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International conference on Humanoid, Nanotechnology, Information Technology, communication and control, Environment and Management (HNICEM)

作者： Diana Rose T. Rivera Ernet L. Maceda Russel D. De Juan Jerald Viktor N. Tayag Kent Bryan R. Urbina Charlene Mae D. Ygnacio Jaychris Georgette Y. Onia Leif Oliver B. Coronado Mechanical Engineering Department Far Eastern University Institute of Technology Sampaloc Philippines Mechanical Engineering Department National University Sampaloc Philippines

This research works focuses on the co-pyrolysis of coconut coir fiber combined with PET in order to increase its heating value, in addition to solid mass reduction for prolonged shell life and storage issues. Co-pyrolysis is a process of efficiently producing high-quality biofuel from two or more materials. Parameters combinations were identified using the Taguchi optimization methodology model in MINITAB19. Nine samples with three replications were evaluated. Results revealed that changing the temperature, duration, and feedstock blends show a significant effect on solid mass yield and heating value. The biochar with 75:25 (coconut coir fiber: PET) shows that duration and temperature directly affect the solid yield. For biochar, with 25:75 (coconut coir fiber: PET), pyrolysis duration contributed largely to the output. The highest solid mass reduction with an average of 55% solid yield was obtained. Despite a high solid mass reduction, the heating value measured is only 13 MJ/kg. Feedstock blend with PET to coconut coir ratios of 75:25, 25:75, and 50:50 resulted to an average solid yield of 70%, 65%, and 83% respectively. In terms of heating value, for all three replications, the biochar sample subjected to 200°C, 30 minutes, and PET to coconut coir ratio of 75:25, with an average solid yield of 67%, had the highest value with 20.94 MJ/kg, 24.42 MJ/kg, and 23.55 MJ/kg for Trial A, B, and C, respectively. The result shows that the incorporation of PET effectively increases the heating value of the coconut coir fiber from 10 MJ/kg to 24.42 MJ/kg.

关键词： Temperature measurement Heating systems Polyethylene Heat treatment Humanoid robots Solids optical fiber communication

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