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IEEE Transactions on Signal and Information Processing over Networks, Volume 4
Volume 4, Number 1, March 2018
- Arash Mohammadi, Peng Cheng, Vincenzo Piuri, Konstantinos N. Plataniotis, Patrizio Campisi:
Guest Editorial Distributed Signal Processing for Security and Privacy in Networked Cyber-Physical Systems. 1-3 - Junlong Zhu, Changqiao Xu, Jianfeng Guan, Dapeng Oliver Wu:
Differentially Private Distributed Online Algorithms Over Time-Varying Directed Networks. 4-17 - Wael A. Hashlamoun, Swastik Brahma, Pramod K. Varshney:
Mitigation of Byzantine Attacks on Distributed Detection Systems Using Audit Bits. 18-32 - Shih-Chang Lin, Chih-Yu Wen, William A. Sethares:
Two-Tier Device-Based Authentication Protocol Against PUEA Attacks for IoT Applications. 33-47 - Yanpeng Guan, Xiaohua Ge:
Distributed Attack Detection and Secure Estimation of Networked Cyber-Physical Systems Against False Data Injection Attacks and Jamming Attacks. 48-59 - Chengcheng Zhao, Jianping He, Jiming Chen:
Resilient Consensus with Mobile Detectors Against Malicious Attacks. 60-69 - Abdallah K. Farraj, Eman M. Hammad, Deepa Kundur:
A Distributed Control Paradigm for Smart Grid to Address Attacks on Data Integrity and Availability. 70-81 - Jiyun Yao, Parv Venkitasubramaniam:
Privacy Aware Stochastic Games for Distributed End-User Energy Storage Sharing. 82-95 - Nicola Forti, Giorgio Battistelli, Luigi Chisci, Suqi Li, Bailu Wang, Bruno Sinopoli:
Distributed Joint Attack Detection and Secure State Estimation. 96-110 - Konstantinos Ntemos, Jorge Plata-Chaves, Nicholas Kolokotronis, Nicholas Kalouptsidis, Marc Moonen:
Secure Information Sharing in Adversarial Adaptive Diffusion Networks. 111-124 - Chaoqun Yang, Li Feng, Heng Zhang, Shibo He, Zhiguo Shi:
A Novel Data Fusion Algorithm to Combat False Data Injection Attacks in Networked Radar Systems. 125-136 - Hamidreza Sadreazami, Arash Mohammadi, Amir Asif, Konstantinos N. Plataniotis:
Distributed-Graph-Based Statistical Approach for Intrusion Detection in Cyber-Physical Systems. 137-147 - Tao Zhang, Quanyan Zhu:
Distributed Privacy-Preserving Collaborative Intrusion Detection Systems for VANETs. 148-161 - Nicola Piovesan, Tomaso Erseghe:
Cooperative Localization in WSNs: A Hybrid Convex/Nonconvex Solution. 162-172 - Guoqiang Zhang, Richard Heusdens:
Distributed Optimization Using the Primal-Dual Method of Multipliers. 173-187 - Sam Safavi, Usman A. Khan:
Localization in Mobile Networks via Virtual Convex Hulls. 188-201 - Chaokun Wang, Xin Xin, Jingwen Shang:
When to Make a Topic Popular Again? A Temporal Model for Topic Rehotting Prediction in Online Social Networks. 202-216
Volume 4, Number 2, June 2018
- Marie Maros, Joakim Jaldén:
ADMM for Distributed Dynamic Beamforming. 220-235 - Stephen Kruzick, Sérgio Pequito, Soummya Kar, José M. F. Moura, António Pedro Aguiar:
Structurally Observable Distributed Networks of Agents Under Cost and Robustness Constraints. 236-247 - Songfu Cai, Vincent K. N. Lau:
Modulation-Free M2M Communications for Mission-Critical Applications. 248-263 - Mohammad R. Vedady Moghadam, Rui Zhang:
Node Placement and Distributed Magnetic Beamforming Optimization for Wireless Power Transfer. 264-279 - Jichuan Li, Arye Nehorai:
Distributed Particle Filtering via Optimal Fusion of Gaussian Mixtures. 280-292 - Tianyu Wu, Kun Yuan, Qing Ling, Wotao Yin, Ali H. Sayed:
Decentralized Consensus Optimization With Asynchrony and Delays. 293-307 - Vincenzo Zambianchi, Francesca Bassi, Alex Calisti, Davide Dardari, Michel Kieffer, Gianni Pasolini:
Distributed Nonasymptotic Confidence Region Computation Over Sensor Networks. 308-324 - Edmond Nurellari, Desmond C. McLernon, Mounir Ghogho:
A Secure Optimum Distributed Detection Scheme in Under-Attack Wireless Sensor Networks. 325-337 - Heyu Wang, Chunguang Li:
Distributed Quantile Regression Over Sensor Networks. 338-348 - Markus Fröhle, Themistoklis Charalambous, Ido Nevat, Henk Wymeersch:
Channel Prediction With Location Uncertainty for Ad Hoc Networks. 349-361 - Ahti Ainomäe, Mats Bengtsson, Tõnu Trump:
Distributed Largest Eigenvalue-Based Spectrum Sensing Using Diffusion LMS. 362-377 - Jun Guo, Uri Rogers, Xia Li, Hao Chen:
Secrecy Constrained Distributed Detection in Sensor Networks. 378-391 - Fernando Gama, Santiago Segarra, Alejandro Ribeiro:
Hierarchical Overlapping Clustering of Network Data Using Cut Metrics. 392-406 - Luc Le Magoarou, Rémi Gribonval, Nicolas Tremblay:
Approximate Fast Graph Fourier Transforms via Multilayer Sparse Approximations. 407-420
Volume 4, Number 3, September 2018
- Ahmed Zaki, Arun Venkitaraman, Saikat Chatterjee, Lars Kildehoj Rasmussen:
Greedy Sparse Learning Over Network. 424-435 - Wei-Cheng Liao, Mingyi Hong, Hamid Farmanbar, Zhi-Quan Luo:
A Distributed Semiasynchronous Algorithm for Network Traffic Engineering. 436-450 - Gal Mishne, Ronen Talmon, Israel Cohen, Ronald R. Coifman, Yuval Kluger:
Data-Driven Tree Transforms and Metrics. 451-466 - Ruhallah AliHemmati, Ben Liang, Min Dong, Gary Boudreau, S. Hossein Seyedmehdi:
Power Allocation for Underlay Device-to-Device Communication Over Multiple Channels. 467-480 - Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor, Michael G. Rabbat:
Characterization and Inference of Graph Diffusion Processes From Observations of Stationary Signals. 481-496 - Hessam Mahdavifar, Ahmad Beirami, Behrouz Touri, Jeff S. Shamma:
Global Games With Noisy Information Sharing. 497-509 - Roland Lamberti, François Septier, Naveed Salman, Lyudmila Mihaylova:
Gradient-Based Sequential Markov Chain Monte Carlo for Multitarget Tracking With Correlated Measurements. 510-518 - Konstantinos Slavakis, Shiva Salsabilian, David S. Wack, Sarah Feldt Muldoon, Henry E. Baidoo-Williams, Jean M. Vettel, Matthew Cieslak, Scott T. Grafton:
Clustering Brain-Network Time Series by Riemannian Geometry. 519-533 - Ying Liu, Chunguang Li:
Distributed Prediction via Adaptive Hammerstein Filter Over Networked Systems. 534-548 - Anes Yessembayev, Dilip Sarkar, Faisal Sikder:
Detection of Good and Bad Sensor Nodes in the Presence of Malicious Attacks and Its Application to Data Aggregation. 549-563 - Ahmet Dundar Sezer, Sinan Gezici:
Power Control Games Between Anchor and Jammer Nodes in Wireless Localization Networks. 564-575 - Amir Leshem, Anna Scaglione:
The Impact of Random Actions on Opinion Dynamics. 576-584 - Stefano Maranò, Peter Willett:
Resource Allocation in Energy-Harvesting Sensor Networks. 585-598 - Yasin Yilmaz, Mehmet Necip Kurt, Xiaodong Wang:
Distributed Dynamic State Estimation and LQG Control in Resource-Constrained Networks. 599-612 - Yuan Liang, Tongtong Li:
End-to-End Throughput in Multihop Wireless Networks With Random Relay Deployment. 613-625 - Xuanyu Cao, K. J. Ray Liu:
Distributed Linearized ADMM for Network Cost Minimization. 626-638
Volume 4, Number 4, December 2018
- Wael A. Hashlamoun, Swastik Brahma, Pramod K. Varshney:
Audit Bit Based Distributed Bayesian Detection in the Presence of Byzantines. 643-655 - Matthew O'Connor, Guoqiang Zhang, W. Bastiaan Kleijn, Thushara Dheemantha Abhayapala:
Function Splitting and Quadratic Approximation of the Primal-Dual Method of Multipliers for Distributed Optimization Over Graphs. 656-666 - Clément Dorffer, Matthieu Puigt, Gilles Delmaire, Gilles Roussel:
Informed Nonnegative Matrix Factorization Methods for Mobile Sensor Network Calibration. 667-682 - Maria Antonieta Alvarez, Umberto Spagnolini:
Distributed Time and Carrier Frequency Synchronization for Dense Wireless Networks. 683-696 - Manas Khatua, Seyed Hamid Safavi, Ngai-Man Cheung:
Sparse Laplacian Component Analysis for Internet Traffic Anomalies Detection. 697-711 - Gene Cheung, Weng-Tai Su, Yu Mao, Chia-Wen Lin:
Robust Semisupervised Graph Classifier Learning With Negative Edge Weights. 712-726 - Shunyi Zhao, Yuriy S. Shmaliy, Choon Ki Ahn:
Bias-Constrained Optimal Fusion Filtering for Decentralized WSN With Correlated Noise Sources. 727-735 - David I. Shuman, Pierre Vandergheynst, Daniel Kressner, Pascal Frossard:
Distributed Signal Processing via Chebyshev Polynomial Approximation. 736-751 - Murat Üney, Bernard Mulgrew, Daniel E. Clark:
Latent Parameter Estimation in Fusion Networks Using Separable Likelihoods. 752-768 - Junhao Hua, Chunguang Li:
Distributed Jointly Sparse Bayesian Learning With Quantized Communication. 769-782
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