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IEEE International Conference on Trust, Security and Privacy in Computing and communications (TrustCom)

作者： Zhiwei Wang Wei Lv Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing Jiangsu Province P.R. China

Proxy re-signature is proposed by Blaze, Blemmer and Strauss (BBS), in which a semi-trusted proxy acts as a translator converts a signature from Alice into a signature from Bob on the same message. Proxy re-signature is a very useful tool for the interoperable DRM architecture and the proof of passed path in cloud computing. However, cloud users usually are mobile devices which are constrained with processing and power limitations. When a mobile user obtain the converted signature from the proxy (cloud server), it still can not verify it due to the heavy computation cost. We propose a new definition of server-aided verification proxy re-signature which consist of a proxy re-signature scheme and a server-aided verification protocol. With the server-aided verification protocol, some computational tasks for a proxy re-signature verification are carried out by the proxy (cloud server), which is generally untrusted, therefore, it is very useful for mobile devices. We present, on the basis of Ateniese and Hohenberger's unidirectional proxy re-signature scheme, two novel existential unforgeability server-aided verification proxy re-signature schemes.

关键词： Servers Protocols Cloud computing Mobile communication Public key

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A robust object tracking algorithm based on SURF

A robust object tracking algorithm based on SURF

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International Conference on wireless communications and Signal Processing (WCSP)

作者： Dan Zhou Dong Hu Education Ministry's Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications 210003 China

In this paper, we propose a robust object tracking algorithm based on SURF. First, we adopt a two-stage matching method to improve the accuracy of SURF matching points. Then a template update method is used to deal with the problem of object appearance change. Next we use matching points between new template and candidate region to locate the initial position of object. As template update and object occlusion will cause the accumulation of tracking errors, therefore, at last fixed template is used to correct object's position. For those frames which have little matching points, we use Meanshift instead of SURF to track object. The experiments demonstrate that our work is robust and can track object accurately in complex environments.

关键词： Target tracking Object tracking Video sequences Robustness Mathematical model Vectors

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Research of Malicious Code Attack Effect Based on Synthetic Entropy Method

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Chinese Journal of Electronics 2023年第3期22卷 449-454页

作者： LI Peng WANG Ruchuan College of Computer Nanjing University of Posts and Telecommunications Nanjing China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Jiangsu Province Nanjing China

To resolve the problem of assessing the effect of a network attack, this paper combines cross entropy with network character entropy method and proposes scheme to evaluate the malicious code attack effect. It captures the related indicators in real time and normalizes the data so as to evaluate it at the same level. It adopts cross entropy method to pretreat the indicators adaptively. We calculate the weight coefficient and exploit network character entropy method to evaluate the attack with accuracy according to the importance of the indicators in the evaluation system. Experimental results and corresponding comparisons reveal that the proposed method can quantitatively determine the exact effect of the malicious code attack.

关键词： Industries Medical services Entropy Malware Real-time systems Information technology

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An improved apriori algorithm with prejudging and screening

An improved apriori algorithm with prejudging and screening

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International Conference on Computer, communication and Computational Sciences, ICCCCS 2016

作者： Zhao, Xuejian Li, Dongjun Yuan, Yuan Sun, Zhixin Chen, Yong Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China Jiangsu Posts & Telecommunications Planning and Designing Institute Co. LTD Nanjing China Nanjing Longyuan Microelectronic Co. LTD Nanjing China

ISBN: (纸本)9789811037696

Association rule analysis, as one of the significant means of data mining, plays an important role in discovering the implicit knowledge in massive transaction data. Aiming at the inherent defects of the classic Apriori algorithm, this paper proposes IAPS (Improved Apriori with Prejudging and Screening) algorithm. IAPS algorithm adds a prejudging and screening procedure on the basis of the self-join and pruning progress in Apriori algorithm which can reduce and optimize the k-frequent item sets using prior probability. IAPS algorithm simplifies the operation process of mining frequent item sets. Experimental results show that the improved algorithm can effectively reduce the number of scanning databases and reduce the running time of the algorithm. © Springer Nature Singapore Pte Ltd. 2017.

关键词： Association rules

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Influence of oceanic turbulence on propagation of Airy vortex beam carrying orbital angular momentum

arXiv

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arXiv 2018年

作者： Wang, Xinguang Yang, Zhen Zhao, Shengmei Nanjing210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education NUPT Nanjing210003 China

With Rytov approximation theory, we derive the analytic expression of de- tection probability of Airy vortex beam carrying orbital angular momentum (OAM) through an anisotropic weak oceanic turbulence. We investigate the influences of turbulence parameters and beam parameters on the propagation properties of Airy-OAM beam. The numerical simulation results show that the anisotropic oceanic turbulence with a lower dissipation rate of temperature vari- ance, smaller ratio of temperature and salinity contributions to the refractive index spectrum, higher dissipation rate of kinetic energy per unit mass of fluid, bigger inner scale factor, larger anisotropic coefficient causes the larger detection probability of Airy-OAM beam. Moreover, the Airy-OAM beam with a smaller topological charge, larger main ring radius and longer wavelength, has strong resistance to oceanic turbulent interference. Additionally, the detection proba- bility decreases with the increase of receiving aperture size. In comparison with Laguerre-Gaussian-OAM beam, Airy-OAM beam has more anti-interference to turbulence when its topological charge is larger than 5 due to its non-diffraction and self-healing characteristics. The results are useful for underwater optical communication link using Airy-OAM beam. Copyright © 2018, The Authors. All rights reserved.

关键词： Anisotropy

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Deep Learning Empowered Real-Time Haptic communications for IoT

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IEEE Transactions on Consumer Electronics 2024年

作者： Zhang, Xuguang Chen, Mingkai Nanjing University of Posts and Telecommunications School of Communications and Information Engineering Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing210003 China

The advancement of the Internet of Things (IoT) has enabled a variety of innovative consumer electronics applications. In particular, multi-modal applications integrating audio, video, and haptic interactions have emerged, offering users more immersive experiences and enhanced remote interaction capabilities. However, the distributed and fragmented nature of IoT network resources presents significant challenges for ensuring haptic communications under strict constraints. To address these challenges, this paper proposes a joint coding and network resource scheduling solution for haptic communications in IoT environments. First, we design a scalable and flexible haptic coding scheme that supports efficient and seamless haptic streaming across heterogeneous IoT networks. Second, we introduce a deep learning-based imperceptible Quality of Experience (QoE) recognition method, which uses emotional immersion as an evaluation metric to achieve unobtrusive QoE monitoring. Finally, based on user QoE feedback, we develop an on-demand cooperative network resource scheduling strategy to ensure high QoE, reduce network resource wastage, and optimize the utilization of fragmented IoT resources. Simulation results validate the effectiveness of the proposed architecture and strategies. © 1975-2011 IEEE.

关键词： network coding

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The Proof is in the Pudding: Decision-Oriented Machine-Type wireless Video Transmission

The Proof is in the Pudding: Decision-Oriented Machine-Type ...

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2024 IEEE Global communications Conference, GLOBECOM 2024

作者： Song, Jie Gao, Yun Wu, Dan Zhou, Liang Qian, Yi Nanjing University of Posts and Telecommunications Ministry of Education Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing China Army Engineering University of Pla Institute of Communications Engineering Nanjing China University of Nebraska-Lincoln Department of Electrical and Computer Engineering Lincoln United States

ISBN: (纸本)9798350351255

With the rise of the Internet of Everything, machine-type wireless video applications like intelligent surveillance are increasingly becoming mainstream network services. However, the massive transmission of video streams heavily burdens wireless networks. Existing methods typically establish a correlation between the transmitted content and the quality of experience or service, making it challenging to balance trade-offs among decision quality, bandwidth utilization, and latency requirements. To address this issue fundamentally, this paper proposes a novel perspective by designing wireless video transmission strategies from the angle of decision quality, where only the content that impacts the decision outcomes is transmitted. The highlight of this paper is designing a lightweight yet efficient binary classifier that predicts whether the current content will change decision outcomes based on content discrepancies, measured only through pixel-level differences and macroblock-level similarity. Furthermore, these discrepancies can be used to distinguish the background, thereby further saving bandwidth by reusing the background information. Additionally, a fine-tuning module is incorporated to flexibly update the classifier model, ensuring adaptability across various scenarios. Extensive results demonstrate that the proposed strategy achieves over 81% redundant bandwidth savings while maintaining decision quality and catering to strict latency requirements on computation-constrained devices. © 2024 IEEE.

关键词： Television transmission

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Service Migration Algorithm Based on Markov Decision Process with Multiple QoS Attributes

Research Square

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Research Square 2021年

作者： Ma, Anhua Pan, Su Tao, Shuai Zhou, Weiwei Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing210003 China

With the rapid development of mobile internet cloud computing, the traditional network structure becomes non-suitable for advanced network traffic requirements. A service migration decision algorithm is proposed in the Software Defined network(SDN) to satisfy differential Quality of Service(QoS) requirements. We divide services into real-time ones and non-real-time ones due to their different requirements on time delay and transmission rates, and construct the revenue function on two QoS attributes i.e. time delay and available transmission rates. We use the Markov decision process to maximize the overall benefits of users and network system to achieve the best user experience. The simulation results show that our proposed algorithm achieves better performance in terms of overall benefits than the exiting algorithms only considering single service and single QoS attribute. © 2021, CC BY.

关键词： Quality of service

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3D shape segmentation via shape fully convolutional networks

arXiv

引用

arXiv 2017年

作者： Wang, Pengyu Gan, Yuan Shui, Panpan Yu, Fenggen Zhang, Yan Chen, Songle Sun, Zhengxing State Key Lab for Novel Software Technology Nanjing University Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications

We design a novel fully convolutional network architecture for shapes, denoted by Shape Fully Convolutional networks (SFCN). 3D shapes are represented as graph structures in the SFCN architecture, based on novel graph convolution and pooling operations, which are similar to convolution and pooling operations used on images. Meanwhile, to build our SFCN architecture in the original image segmentation fully convolutional network (FCN) architecture, we also design and implement a generating operation with bridging function. This ensures that the convolution and pooling operation we have designed can be successfully applied in the original FCN architecture. In this paper, we also present a new shape segmentation approach based on SFCN. Furthermore, we allow more general and challenging input, such as mixed datasets of different categories of shapes which can prove the ability of our generalisation. In our approach, SFCNs are trained triangles-to-triangles by using three low-level geometric features as input. Finally, the feature voting-based multi-label graph cuts is adopted to optimise the segmentation results obtained by SFCN prediction. The experiment results show that our method can effectively learn and predict mixed shape datasets of either similar or different characteristics, and achieve excellent segmentation results. . Copyright © 2017, The Authors. All rights reserved.

关键词： network architecture

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Single image super resolution through neighbor embedding with non-local means and field of experts

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Journal of Computational Information Systems 2014年第5期10卷 1973-1981页

作者： Cao, Mingming Gan, Zongliang Cui, Ziguan Guo, Quanzhan Zhu, Xiuchang Key Lab. of Broadband Wireless Communication and Sensor Network Technology Min. of Edu. Image Process and Image Communication Lab. Nanjing University of Posts and Telecommunications Nanjing 210003 China

Super resolution (SR) through neighbor embedding is recognized as an effective way to produce a high resolution (HR) image. However, this learning-based method is clumsy at preserving sharper edges and suppressing unwanted artifacts. To reduce these artifacts, in this paper we proposed a novel single image super resolution through neighbor embedding with non-local means (NLM) and field of experts. The proposed SR approach is based upon an observation that small patches in natural images tend to redundantly repeat themselves many times, which could be exploited to improve the image reconstruction quality. In addition, considering the existence of un-normal texture in the reconstruction of HR images, which reduce the accuracy of the search process, we apply the Field of Experts model to remove the un-normal texture, which could also make the final image match the statistical characteristics of natural images. The experimental results show that the proposed method can achieve comparable performance to other leading algorithms. © 2014 Binary Information Press.

关键词： Image reconstruction

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