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Proxy re-encryption conjunctive keyword search against keyword guessing attack

Proxy re-encryption conjunctive keyword search against keywo...

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Computing, Communications and Applications Conference (ComComAp)

作者： Yang Yang Maode Ma Bogang Lin College of Mathematics and Computer Science Key Lab of Information Security of Networks Systems Fuzhou University Fuzhou Fujian China School of Electrical & Electronic Engineering Nanyang Technological University Singapore Singapore

Public key encryption with keyword search enables users to retrieve keywords from encrypted data, which can protect data confidentiality without losing the search operability. However, it is also vulnerable to keyword guessing attacks. In this paper, we propose a conjunctive keywords searchable encryption with designated tester (dPECK) to prevent the keyword guessing attacks. It can support multiple-keywords query at one time, i.e. conjunctive keywords search. We formulate the security notions for the conjunctive keyword search with the designated tester and present an efficient scheme which is proven secure in the standard model. Moreover, we extend the dPECK to proxy re-encryption dPECK (Re-dPECK) in order to enable the search proxy function. At last, the comparison and efficiency simulation demonstrates that this scheme has the lower computation and storage overhead.

关键词： Keyword search Encryption Public key Servers Receivers

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A weighted hard combination scheme for cooperative spectrum sensing in cognitive radio sensor networks

A weighted hard combination scheme for cooperative spectrum ...

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IEEE International Conference on Telecommunications and Malaysia Communications (ICT-MICC)

作者： I. Mustapha Borhanuddin M. Ali Mohd F. A. Rasid A. Sali H. Mohamad Department of Computer and Communication System Engineering Universiti Putra Malaysia Serdang Selangor Malaysia Wireless Networks and Protocol Research Lab MIMOS Berhad Technology Park Malaysia Kuala Lumpur Malaysia

Multi-user spatial sensing diversity exploration through cooperation spectrum sensing greatly improves sensing performance. However, high communication overhead and energy costs for exchanging sensing results may limit its viability in a realistic large scale resource constraint network such as cognitive radio wireless sensor networks. This paper presents a Weighted Hard Combination (WHC) scheme that combines features of both quantized and hard combining schemes to minimize energy cost for reporting sensing result and improve primary user detection performance in cooperative sensing. We evaluate the effectiveness of the scheme through simulation. Performance comparison of the WHC scheme in terms of detection performance, reporting energy cost and reporting time ratio with conventional hard combination, soft combination and quantized schemes indicates viability of the scheme. The results indicate that the WHC scheme minimizes reporting energy cost by 70% and improves detection performance by 5.6% compared to the quantized 3-bits scheme.

关键词： Sensors Cognitive radio Wireless sensor networks Diversity reception Signal to noise ratio Interference

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Minority Games for Backhaul Management in Cache-Enabled Small Cell networks

Minority Games for Backhaul Management in Cache-Enabled Smal...

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European Wireless 2017;23th European Wireless Conference

作者： Kenza Hamidouche Walid Saad Merouane Debbah Large Networks and Systems Group (LANEAS) CentraleSupelec Wireless@VT Bradley Department of Electrical and Computer Engineering Virginia Tech Mathematical and Algorithmic Sciences Lab Huawei France R&D

ISBN: (纸本)9781509038442

In this paper, a new backhaul management approach is proposed for cache-enabled small cell networks (SCNs). Such networks are composed of a set of small base stations (SBSs) that are equipped with storage units and have to serve predicted and current requests. The predicted requests are served from the cache of the SBSs and each SBS has to download the related files ahead of time, while the current requests are served by the SBSs instantaneously from the backhaul. Due to the capacity-limited backhaul links, the SBSs cannot serve all the files with a given required rate. Indeed, the higher is the number of requested files in the network, the lower is the assigned backhaul capacity to each SBS. Since the predicted files are not urgent, the number of related files that are requested by the SBSs must be limited by the total capacity of the backhaul links and the number of current requests. Moreover, the backhaul links of SCNs can be heterogeneous and thus they can encompass a number of technologies such as fiber optical, millimeter Wave and sub-6 GHz bands. This problem is formulated as a minority game in which each SBS has to define the number of predicted files to download at a given time period, without affecting the required transmission rate of the current requests. For the formulated game, it is shown that there exists a unique fair proper mixed Nash equilibrium. Simulation results show that users can experience a transmission rate that is up to 4 times higher than the allocated rate in the conventional model in which the SBSs request all their predicted files.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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Building the Knowledge Base through Bayesian Network for Cognitive Wireless networks

Building the Knowledge Base through Bayesian Network for Cog...

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International Conference on Parallel and Distributed Systems (ICPADS)

作者： Niandong Du Yuebin Bai Lianhe Luo Wei Wu Jianli Guo School of Computer Science and Engineering Beihang University Beijing China Sci. & Technol. on Inf. Transm. & Dissemination in Commun. Networks Lab. Shijiazhuang China

Tactical communication networking faces complexity, heterogeneity, and reliability requirements. The emerging research area of cognitive networks offers a potential for dealing with these problems. A key feature of cognitive networks is the knowledge base, which is produced during the process of learning and responsible for the decision making. We propose a cognitive network model integrated with the knowledge base, which is a primary part of cognitive networks. And then we focus on the construction of the knowledge base and the expression form of the knowledge in the model. In this paper, we use the Bayesian Network (BN) to construct the knowledge base, which is a unique tool for creating a representation of the dependence relationships among network protocol parameters. The data structure of the dependence relationships of the BN is translated into the knowledge which is expressed by the probability. In the simulation experiments, we create the BN through the sampling data to construct the knowledge base using the mathematical tool MATlab and prove the efficiency of our cognitive network model for optimizing network performance in the OPENT simulation platform.

关键词： Knowledge based systems Bayesian methods Protocols Knowledge engineering Decision making Delay Mathematical model

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Clipping Noise-based Tone Injection for PAPR Reduction in OFDM Systems

Clipping Noise-based Tone Injection for PAPR Reduction in OF...

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IEEE International Conference on Communications

作者： Jun Hou Chintha Tellambura Jianhua Ge The State Key Lab. of Integrated Service Networks Xidian University Xi'an P. R. China Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada

Tone injection (TI) mitigates the high peak-to-average power ratio problem without incurring data rate loss or extra side information. However, optimal TI requires an exhaustive search over all possible constellations, which is a hard optimization problem. In this paper, a novel TI scheme that uses the clipping noise to find the optimal equivalent constellations is proposed. By minimizing the mean error of the clipping noise and possible constellation points, the proposed scheme easily determines the size and position of the optimal equivalent constellations. The proposed scheme achieves significant PAPR reduction while maintaining low complexity.

关键词： Peak to average power ratio Noise Indexes Wireless communication Computational complexity

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A Novel Hash-based RFID Mutual Authentication Protocol

A Novel Hash-based RFID Mutual Authentication Protocol

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International Conference on Computational Intelligence and Security

作者： Li Huixian Yin Ping Wang Xuan Pang Liaojun School of Computer Science and Engineering Northwestern Polytechnical University Xi'an Shanxi China School of Computer Science and Engineering Northwestern Polytechnical University Xi'an Shaanxi China Minist. of Educ. Key Lab. of Comput. Networks & Inf. Security Xi'an China

RFID is considered as a significant technology which supplies amounts of change in chain management. The most important problem with the RFID system is that the attacker can access the tag's information, which leads to the security and privacy problems. Aimed at these problems, a secure hash-based mutual authentication protocol is proposed by utilizing the hash function, the PRNG (pseudo-random number generator) and the secret key. In the proposal, the tag conceals the ID with a random number, the hash function and the secret key. A hash value is transmitted as a substitute for the ID, which realizes the anonymous transmission of the information. The reader and the tag authenticate each other, which eliminates intended or meaningless interferences from the attacker. The computational complexity of the proposed protocol is the same with several hash-based protocols, provided adequate security level and efficiency for practical applications.

关键词： Protocols Databases Authentication Radiofrequency identification Synchronization Resists

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Wavelength-division-multiplexed Transmission and Dispersion Compensation Enabled by Soliton Microcombs and Cascaded Microrings

Wavelength-division-multiplexed Transmission and Dispersion ...

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CLEO: Science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Liu, Yuanbin Zhang, Hongyi Liu, Jiacheng Lu, Liangjun Du, Jiangbing Li, Yu He, Zuyuan Chen, Jianping Zhou, Linjie Poon, Andrew W. State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Key Lab of Navigation and Location Services Shanghai Institute for Advanced Communication and Data Science Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China SJTU-Pinghu Institute of Intelligent Optoelectronics Pinghu314200 China Photonic Device Laboratory Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Clear Water Bay Hong Kong

We demonstrate wavelength-division-multiplexed data transmission and dispersion compensation of 25 Gb/s × 9 on-off-keying signals over a 20-km singlemode fiber using an integrated single-soliton microcomb and a cascaded microring resonator-based reconfigurable dispersion compensator. © Optica Publishing Group 2024

关键词： Dispersion compensation

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Wavelength-division-multiplexed Transmission and Dispersion Compensation Enabled by Soliton Microcombs and Cascaded Microrings

Wavelength-division-multiplexed Transmission and Dispersion ...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

ISBN: (纸本)9781957171395

关键词： Optical fibers

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W-band Wireless Transmission based on 98 GHz Packaged Silicon Photonics Optical Clock Generator

W-band Wireless Transmission based on 98 GHz Packaged Silico...

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Optical Fiber Communication (OFC) Conference

作者： Antonio Malacarne Alberto Montanaro Fawad Ahmad Gaurav Pandey Antonio D’Errico Marco Romagnoli Antonella Bogoni Claudio Porzi Photonic Networks & Technologies National Lab — CNIT Pisa Italy Telecommunications Computer Engineering and Photonics Institute (TeCIP) Scuola Superiore Sant’Anna Pisa Italy Ericsson Research Pisa Italy

A fully packaged CMOS-compatible photonic integrated frequency-tunable optical clock synthesizer is used for 93 GHz wireless transmission of complex modulation formats up to 4 Gb/s data rate, with noise performance su... 详细信息

ISBN: (纸本)9798350377583

关键词： Optical fibers Integrated optics 6G mobile communication Frequency modulation Optical design Optical device fabrication Silicon photonics

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Online Container Scheduling for Low-Latency IoT Services in Edge Cluster Upgrade: A Reinforcement Learning Approach

Online Container Scheduling for Low-Latency IoT Services in ...

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2023 IEEE/CIC International Conference on Communications in China, ICCC 2023

作者： Cui, Hanshuai Tang, Zhiqing Lou, Jiong Jia, Weijia Beijing Normal University Institute of Artificial Intelligence and Future Networks Zhuhai519087 China Beijing Normal University School of Artificial Intelligence Beijing100875 China Shanghai Jiao Tong University Department of Computer Science and Engineering Shanghai200240 China BNU-HKBU United International College Guangdong Key Lab of Ai and Multi-Modal Data Processing Zhuhai519087 China

ISBN: (纸本)9798350345384

In Mobile Edge Computing (MEC), Internet of Things (IoT) devices offload computationally-intensive tasks to edge nodes, where they are executed within containers, reducing the reliance on centralized cloud infrastructure. Frequent up-grades are essential to maintain the efficient and secure operation of edge clusters. However, traditional cloud cluster upgrade strategies are ill-suited for edge clusters due to their geographically distributed nature and resource limitations. Therefore, it is crucial to properly schedule containers and upgrade edge clusters to minimize the impact on running tasks. In this paper, we propose a low-latency container scheduling algorithm for edge cluster upgrades. Specifically: 1) We formulate the online container scheduling problem for edge cluster upgrade to minimize the total task latency. 2) We propose a policy gradient-based reinforcement learning algorithm to address this problem, considering the unique characteristics of MEC. 3) Experimental results demonstrate that our algorithm reduces total task latency by approximately 27% compared to baseline algorithms. © 2023 IEEE.

关键词： Reinforcement learning

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