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IEEE Conference on Vehicular Technology (VTC)

作者： Abhijeet Manoj Varma Nikumani Choudhury Jay Dave Anakhi Hazarika Moustafa M. Nasralla Dept. of Computer Science & Information Systems Birla Institute of Technology & Science Pilani Hyderabad India Dept. of Electrical & Electronics Engineering Birla Institute of Technology & Science Pilani Hyderabad India Dept. of Communications & Networks Engineering Smart Systems Engineering Lab Prince Sultan University Riyadh Saudi Arabia

ISBN: (数字)9798350387414

ISBN: (纸本)9798350387421

As the Internet of Things (IoT) is poised to become a global phenomenon, it is imperative to schedule the transmissions of IoT devices effectively and in a fair way. Leveraging Long Range (LoRa) technology, we can achieve transmissions that consume minimal power while covering vast distances, aligning with the requirements of IoT devices. However, the proximity of multiple devices within the same area often leads to packet interference and collisions. To address this, our study introduces a pioneering scheduling method utilizing a constellation of Low Earth Orbit (LEO) satellites to manage and streamline the transmission of data from End Devices (EDs). This method employs two LEO satellites: the first satellite assigns the sequence for EDs to dispatch their packets, and the second collects these packets in the predetermined sequence before forwarding them to the LoRa Network Server (LNS). For urgent (URG) communications, EDs can alert the first satellite, which then coordinates with the LNS to schedule these priority transmissions. The LNS generates a schedule that is relayed to the second satellite, informing EDs with URG packets of their specific transmission times and channels. This scheduling approach is designed to optimize channel usage effectively while accommodating the transmission of urgent data.

关键词： 6G mobile communication Schedules Vehicular and wireless technologies Satellites Scheduling algorithms Low earth orbit satellites LoRaWAN

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A Trust Management Framework for Software Defined networks-based Internet of Things

A Trust Management Framework for Software Defined Networks-b...

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International Conference and Workshop on Computing and Communication (IEMCON)

作者： Svetlana Burikova JooYoung Lee Rasheed Hussain Iuliia Sharafitdinova Roman Dzheriev Fatima Hussain Salah Sharieh Alexander Ferworn Security and Network Engineering Innopolis University Innopolis Russia College of Engineering Australian National University Canberra Australia Networks and Blockchain Lab Innopolis University Innopolis Russia API Delivery and Operations Royal Bank of Canada Toronto Canada Department of Computer Science Ryerson University Toronto Canada

ISBN: (纸本)9781728125312

The proliferation of smart objects and their connectivity have contributed to the realization of the Internet of Things (IoT) paradigm, offering a plethora of applications and services in many sectors of our lives. There are a number of communication architectures put forth to realize commercial IoT. Among other architectures, programmable networking solves most of the network management problems through Software Defined networks (SDN). In SDN, the control plane is separated from the data plane and hence can be a perfect choice for IoT where things have to be managed from different perspectives such as communications, resource allocation, energy consumption, and so on. Addressing the problems of traditional networks through SDN indirectly advocates for its use in IoT environments. However, the "softwarization" of the network, i.e. SDN, poses new challenges to the network security. Among other security issues, lack of trust between the SDN controller and network management application (application that controls the network behavior) is one of the key security problems in SDN that may jeopardize IoT security. To fill the gaps, in this paper, we propose a trust establishment framework for SDN. The main idea is to establish direct trust between OpenFlow SDN controller and the applications. Our results show that by using the proposed trust management framework, financial losses could be considerably reduced for the networks.

关键词： Internet of Things Trust management Authentication Software Authorization computer architecture

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Frequency-Aware Physics-Inspired Degradation Model for Real-World Image Super-Resolution

arXiv

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arXiv 2021年

作者： Dong, Zhenxing Cao, Hong Shen, Wang Gan, Yu Ling, Yuye Zhai, Guangtao Su, Yikai John Hopcroft Center for Computer Science Shanghai Jiao Tong University China Institute of Image Communication and Network Engineering Shanghai Jiao Tong University China Department of Electrical and Computer Engineering University of Alabama TuscaloosaAL35401 United States State Key Lab of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University China

Current learning-based single image super-resolution (SISR) algorithms underperform on real data due to the deviation in the assumed degradation process from that in the real-world scenario. Conventional degradation processes consider applying blur, noise, and downsampling (typically bicubic downsampling) on high-resolution (HR) images to synthesize low-resolution (LR) counterparts. However, few works on degradation modelling have taken the physical aspects of the optical imaging system into consideration. In this paper, we analyze the imaging system optically and exploit the characteristics of the real-world LR-HR pairs in the spatial frequency domain. We formulate a real-world physics-inspired degradation model by considering both optics and sensor degradation;The physical degradation of an imaging system is modelled as a low-pass filter, whose cut-off frequency is dictated by the object distance, the focal length of the lens, and the pixel size of the image sensor. In particular, we propose to use a convolutional neural network (CNN) to learn the cutoff frequency of real-world degradation process. The learned network is then applied to synthesize LR images from unpaired HR images. The synthetic HR-LR image pairs are later used to train an SISR network. We evaluate the effectiveness and generalization capability of the proposed degradation model on real-world images captured by different imaging systems. Experimental results showcase that the SISR network trained by using our synthetic data performs favorably against the network using the traditional degradation model. Moreover, our results are comparable to that obtained by the same network trained by using real-world LR-HR pairs, which are challenging to obtain in real scenes. © 2021, CC BY.

关键词： Cutoff frequency

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An LSTM-Aided Hybrid Random Access Scheme for 6G Machine Type Communication networks

arXiv

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arXiv 2020年

作者： Zhai, Wenchao Han, Huimei Liu, Lei Zhao, Jun The China Jiliang University Zhejiang Hangzhou310018 China College of Information Engineering Zhejiang University of Technology Zhejiang Hangzhou310032 China The State Key Lab of Integrated Services Networks Xidian University Xi’an710071 China School of Computer Science and Engineering Nanyang Technological University Singapore

In this paper, an LSTM-aided hybrid random access scheme (LSTMH-RA) is proposed to support diverse quality of service (QoS) requirements in 6G machine-type communication (MTC) networks, where massive MTC (mMTC) devices and ultra-reliable low latency communications (URLLC) devices coexist. In the proposed LSTMH-RA scheme, mMTC devices access the network via a timing advance (TA)-aided four-step procedure to meet massive access requirement, while the access procedure of the URLLC devices is completed in two steps coupled with the mMTC devices’ access procedure to reduce latency. Furthermore, we propose an attention-based LSTM prediction model to predict the number of active URLLC devices, thereby determining the parameters of the multi-user detection algorithm to guarantee the latency and reliability access requirements of URLLC devices. We analyze the successful access probability of the LSTMH-RA scheme. Numerical results show that, compared with the benchmark schemes, the proposed LSTMH-RA scheme can significantly improve the successful access probability, and thus satisfy the diverse QoS requirements of URLLC and mMTC devices. Copyright © 2020, The Authors. All rights reserved.

关键词： Quality of service

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Research on network malicious code dendritic cell immune algorithm based on fuzzy weighted support vector machine

Research on network malicious code dendritic cell immune alg...

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6th China Conference of Wireless Sensor networks, CWSN 2012

作者： Li, Peng Wang, Ruchuan Zhou, Yanting Dai, Qiuyu College of Computer Nanjing University of Posts and Telecommunications Nanjing Jiangsu 210003 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing Jiangsu 210003 China Key Lab. of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Jiangsu Province Nanjing Jiangsu 210003 China College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing Jiangsu 210003 China

ISBN: (纸本)9783642362514

According to the significant impact on the accuracy rate of detection of current immune algorithms brought by incorrect classification of signal, it proposes network malicious code dendritic cell immune algorithm based on fuzzy weighted support vector machine. It summarizes and compares the pros and cons of the four methods, which are basic artificial intelligence immune algorithm, detection of unknown viruses based on immunity theory, malicious code immunity based on cryptography and automated intrusion response based on danger theory. It elaborates the process of the algorithm of the proposed immune algorithm, discusses a variety of input and output signals, gives the samples of the actual input signals, applies the coefficient of variation method to determine the values of the weights so as to enhance the discrimination ability of signal processing results, describes the principle and algorithm steps of fuzzy weighted support vector machine clustering method within immune algorithm proposed. By comparing the fuzzy aggregation before and after the immunization program experiments, it draws the conclusion that the proposed immune algorithm can optimize the input signal, fuzzy clustering the signal and the antigen, so as to bring down the number of immunization strategies and reduce the immune response time, as a result it improve the efficiency and performance of the immune system. © 2013 Springer-Verlag.

关键词： Cells

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Demonstration of a task-flow based aircraft collaborative design application in optical grid 33

Demonstration of a task-flow based aircraft collaborative de...

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2007 33rd European Conference and Exhibition of Optical Communication, ECOC 2007

作者： Wang, Zhengyu Guo, Wei Sun, Zhenyu Jin, Yaohui Sun, Weiqiang Hu, Weisheng Lin, Xinhua Wu, Min-You Liu, Hong Fu, San Yuan, Jun Qiao, Chunming State Key Lab. on Fiber-Optic Local Area Networks and Advanced Optical Communication systems Shanghai JiaoTong University Shanghai200240 China Grid Computing Center Shanghai JiaoTong University Shanghai200240 China Institute of Aerospace Science and Technology Shanghai JiaoTong University Shanghai200240 China Shanghai Supercomputer Center Shanghai201203 China Computer Science and Engineering State University of New York BuffaloNY14260 United States

One task-flow scheduler has been designed to optimally allocate resources for a task-flow based Aircraft Collaborative Design Application in Optical Grid. This scheduler and application has been deployed on an Optical... 详细信息

ISBN: (纸本)9783800730421

关键词： Scheduling

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Improvement on Ahn et al.'s RSA P-homomorphic signature scheme

Improvement on Ahn et al.'s RSA P-homomorphic signature sche...

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8th International ICST Conference on Security and Privacy in Communication networks, SecureComm 2012

作者： Wang, Zhiwei College of Computer Nanjing University of Posts and Telecommunications Nanjing Jiangsu 210003 China State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing 100190 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing Jiangsu 210003 China Key Lab. of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Jiangsu Province Nanjing Jiangsu 210003 China

ISBN: (纸本)9783642368820

P-homomorphic signature is a general framework for computing on authenticated data, which is recently proposed by Ahn et al. With P-homomorphic signature, any third party can derive a signature on the object message m′ from a signature of m, if m′ and m satisfy P(m,m′) = 1 for some predicate P which denotes the authenticatable relationship between m′ and m. Ahn et al. proposed a RSA P-homomorphic signature scheme by using a RSA accumulator, which is very efficient in space. However, the computational cost of verification and derivation is very heavy. We present an improved P-homomorphic signature scheme based on factoring problem. In our construction, the time efficiency of both verification and derivation are much better than Ahn's scheme. © 2013 ICST Institute for computer Science, Social Informatics and Telecommunications engineering.

关键词： Authentication

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Enjoy the untrusted cloud: A secure, scalable and efficient SQL-like query framework for outsourcing data

arXiv

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arXiv 2019年

作者： Chen, Yaxing Zheng, Qinghua Liu, Dan Yan, Zheng Sun, Wenhai Zhang, Ning Lou, Wenjing Thomas Hou, Y. School of Electronic and Information Engineering Xi'an Jiaotong University Xi'an Shaanxi China State Key Lab on Integrated Services Networks School of Cyber Engineering Xidian University Xi'an Shaanxi China Department of Communications and Networking Aalto University Espoo Finland Department of Computer and Information Technology Purdue University West LafayetteIN United States Department of Computer Science and Engineering Washington University in St. Louis St. LouisMO United States Department of Computer Science Electrical and Computer Engineering Virginia Tech BlacksburgVA United States

While the security of cloud remains a concern, a common practice is to encrypt data before outsourcing them for utilization. One key challenging issue is how to efficiently perform queries over the ciphertext. Conventional crypto-based solutions, e.g. partially/fully homomorphic encryption and searchable encryption, suffer from low performance, poor expressiveness and weak compatibility. An alternative method that utilizes hardware-assisted trusted execution environment, i.e., Intel SGX, has emerged recently. On one hand, such work lacks of supporting scalable access control over multiple data users. On the other hand, existing solutions are subjected to the key revocation problem and knowledge extractor vulnerability. In this work, we leverage the newly hardware-assisted methodology and propose a secure, scalable and efficient SQL-like query framework named QShield. Building upon Intel SGX, QShield can guarantee the confidentiality and integrity of sensitive data when being processed on an untrusted cloud platform. Moreover, we present a novel lightweight secret sharing method to enable multi-user access control in QShield, while tackling the key revocation problem. Furthermore, with an additional trust proof mechanism, QShield guarantees the correctness of queries and significantly alleviates the possibility to build knowledge extractor. We implemented a prototype for QShield and show that QShield incurs minimum performance cost. Copyright © 2019, The Authors. All rights reserved.

关键词： Outsourcing

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Intelligent Eco Networking (IEN) II: A Knowledge-Driven Future Internet Infrastructure for Value-Oriented Ecosystem

Intelligent Eco Networking (IEN) II: A Knowledge-Driven Futu...

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IEEE International Conference on Hot Information-Centric Networking (HotICN)

作者： Kai Lei Shuokang Huang Jiyue Huang Huafang Liu Jin Liu PCL Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen China Shenzhen Key Lab for Information Centric Networking & Blockchain Technology (ICNLAB) School of Electronic and Computer Engineering (SECE) Peking University Shenzhen P.R. China

ISBN: (数字)9781728157818

ISBN: (纸本)9781728157825

Intelligent Eco Networking (IEN) is intent on evolving the IP-based network architecture into a Knowledge-Driven Future Internet Infrastructure based on hierarchical heterogeneous networks composed of virtualized and configurable devices, taking the valuable contents as first-class entity, d riven by knowledge intelligence, integrating the decentralized consensus trust preservation, to establish a value-oriented social ecosystem. To counter with the complicated but inefficient mechanisms of IP, a tokenized fine-grained allocation mechanism i s proposed, taking comprehensive consideration of storage, computing and networking, bringing about a collaborative and mutually beneficial value-interconnection. Knowledge-Driven Scheme (KDS), as the guideline of IEN's establishment, illustrates the way to extract knowledge from the network, the value consensus of Blockchain, and the feedback control of Federated Learning, making economy-based distributed commerce feasible.

关键词： Knowledge engineering Quality of service Internet Protocols Ecosystems

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MedTruth: A semi-supervised approach to discovering knowledge condition information from multi-source medical data

arXiv

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arXiv 2018年

作者： Deng, Yang Li, Yaliang Shen, Ying Du, Nan Fan, Wei Yang, Min Lei, Kai School of Electronics and Computer Engineering Peking University PCL Research Center of Networks and Communications Peng Cheng Laboratory Chinese University of Hong Kong Alibaba Group Tencent Medical AI Lab Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences

Knowledge Graph (KG) contains entities and the relations between entities. Due to its representation ability, KG has been successfully applied to support many medical/healthcare tasks. However, in the medical domain, knowledge holds under certain conditions. For example, symptom runny nose highly indicates the existence of disease whooping cough when the patient is a baby rather than the people at other ages. Such conditions for medical knowledge are crucial for decision-making in various medical applications, which is missing in existing medical KGs. In this paper, we aim to discovery medical knowledge conditions from texts to enrich KGs. Electronic Medical Records (EMRs) are systematized collection of clinical data and contain detailed information about patients, thus EMRs can be a good resource to discover medical knowledge conditions. Unfortunately, the amount of available EMRs is limited due to reasons such as regularization. Meanwhile, a large amount of medical question answering (QA) data is available, which can greatly help the studied task. However, the quality of medical QA data is quite diverse, which may degrade the quality of the discovered medical knowledge conditions. In the light of these challenges, we propose a new truth discovery method, MedTruth, for medical knowledge condition discovery, which incorporates prior source quality information into the source reliability estimation procedure, and also utilizes the knowledge triple information for trustworthy information computation. We conduct series of experiments on real-world medical datasets to demonstrate that the proposed method can discover meaningful and accurate conditions for medical knowledge by leveraging both EMR and QA data. Further, the proposed method is tested on synthetic datasets to validate its effectiveness under various scenarios. Copyright © 2018, The Authors. All rights reserved.

关键词： Medical computing

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