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Byzantine-Resilient Distributed Hypothesis Testing With Time-Varying Network Topology [article]

Bo Wu, Steven Carr, Suda Bharadwaj, Zhe Xu, Ufuk Topcu
2021 arXiv   pre-print
We study the problem of distributed hypothesis testing over a network of mobile agents with limited communication and sensing ranges to infer the true hypothesis collaboratively.  ...  We prove under mild assumptions that the AB for every non-compromised agent converges almost surely to the true hypothesis, without requiring connectivity in the underlying time-varying network topology  ...  This paper considers a distributed hypothesis testing problem over a network of mobile agents with a time-varying network topology.  ... 
arXiv:2008.00164v2 fatcat:g64zb67cyfecpjmj5goydyqokm

Non-Stationary Random Process for Large-Scale Failure and Recovery of Power Distribution

Yun Wei, Chuanyi Ji, Floyd Galvan, Stephen Couvillon, George Orellana, James Momoh
2016 Applied Mathematics  
Real data on large-scale failures from an operational network is used to learn time-varying model parameters and resilience metrics.  ...  This requires strengthening resilience of distribution networks that lie at the edge of the grid.  ...  The recovery-time distribution has been modeled as Weibull mixtures with time-varying parameters.  ... 
doi:10.4236/am.2016.73022 fatcat:7pdyzhvcf5e4xpffatpkg7wrui

Entropy and optimality in river deltas

Alejandro Tejedor, Anthony Longjas, Douglas A. Edmonds, Ilya Zaliapin, Tryphon T. Georgiou, Andrea Rinaldo, Efi Foufoula-Georgiou
2017 Proceedings of the National Academy of Sciences of the United States of America  
We thus suggest that prograding deltas attain dynamically accessible optima of flux distributions on their channel network topologies, thus effectively decoupling evolutionary time scales of geomorphology  ...  This notion resonates with previous results applied to tidal deltas showing that tidal channels self-organize to uniformly distribute the tidal prism across the delta (35).  ...  Testing this hypothesis in field deltas is challenging because avulsions occur infrequently.  ... 
doi:10.1073/pnas.1708404114 pmid:29078329 pmcid:PMC5676905 fatcat:c3saphg5hjbq7alvnqmww2a2ym

Effects of network resolution on topological properties of human neocortex

Rafael Romero-Garcia, Mercedes Atienza, Line H. Clemmensen, Jose L. Cantero
2012 NeuroImage  
In summary, our study confirms that topological organization of anatomical cortical networks varies with both sparsity and resolution of cortical scale, and it further provides a novel methodological framework  ...  Most of these studies were performed with different cortical scales leading to cortical networks with different levels of small-world organization.  ...  It will strongly depend on the nature of the study (exploratory versus hypothesis-driven) and on the underlying hypothesis (topological versus biological).  ... 
doi:10.1016/j.neuroimage.2011.10.086 pmid:22094643 fatcat:escx74noifcyznq6txgnzvtpnu

2020 Index IEEE Transactions on Signal and Information Processing over Networks Vol. 6

2020 IEEE Transactions on Signal and Information Processing over Networks  
., +, TSIPN 2020 732-743 Resilient Distributed Diffusion in Networks With Adversaries.  ...  Wang, S., +, TSIPN 2020 196-210 Security of data Resilient Distributed Diffusion in Networks With Adversaries.  ... 
doi:10.1109/tsipn.2021.3050691 fatcat:fygxby3zrjbhjlid5odg4mdnf4

Guest Editorial: Special Issue on Security and Privacy of Distributed Algorithms and Network Systems

Zhiyong Chen, Fabio Pasqualetti, Jianping He, Peng Cheng, Harry L. Trentelman, Francesco Bullo
2020 IEEE Transactions on Automatic Control  
., where the attack detector applies a hypothesis test on the innovation of the Kalman filter.  ...  Six papers deal with the problem of resilience and privacy preservation for estimation and control in network systems.  ... 
doi:10.1109/tac.2020.3004329 fatcat:3fljmzhbtzhtta4v4aqgvgi7ca

Hierarchical networks of food exchange in the black garden ant Lasius niger

Martin Quque, Olivier Bles, Annaëlle Bénard, Amélie Héraud, Bastien Meunier, François Criscuolo, Jean‐Louis Deneubourg, Cédric Sueur
2020 Insect Science  
We tested the influence of brood and colony size on (i) global indices at the network level (i.e. efficiency, resilience, centralisation and modularity) and (ii) individual values (i.e. degree, strength  ...  Network resilience, the ratio between global efficiency and centralisation, was stable with colony size but increased in the presence of broods, presumably in response to the nutritional needs of larvae  ...  network was most consistent with the hierarchical network hypothesis.  ... 
doi:10.1111/1744-7917.12792 pmid:32306510 fatcat:3es6yljx3zhrpht2x6vl5vnswm

A Multi-Objective Optimization Scheme for Resilient, Cost-Effective Planning of Microgrids

Moein Borghei, Mona Ghassemi
2020 IEEE Access  
This work aims to simultaneously maximize the resiliency of distribution networks -in terms of service to the critical loads -and minimize the dispatchable generation capacity of microgrids.  ...  Given the accuracy, computation time efficacy, and the generic formulation of the problem, the optimization scheme can be easily applied to any real network.  ...  Network reconfiguration is another tool that is integrated with microgrids to enhance the network resiliency.  ... 
doi:10.1109/access.2020.3038133 fatcat:xdoucltoyrf37djiqh5ltbu474

InnoScape: A creative artificial ecosystem model of boundary processes in open science

Guangyu Zou, Levent Yilmaz
2011 2011 Atlanta Conference on Science and Innovation Policy  
Simulation results show that scale-free network has the highest resilience as compared to random and random group network.  ...  With the increasing use of cyberinfrastructure and popularity of e-Science initiatives, science is becoming truly globalized, reducing barriers to entry and enabling formation of open and global networked  ...  Additionally, our observations suggest that the 2D topology is more resilient than 1D topology, and scale-free networks have higher resilience than random and random group networks.  ... 
doi:10.1109/acsip.2011.6064453 fatcat:cnvrewv4zvhwhm7bvec2ihwv3y

Temporal and Spatial Evolution of Brain Network Topology during the First Two Years of Life

Wei Gao, John H. Gilmore, Kelly S. Giovanello, Jeffery Keith Smith, Dinggang Shen, Hongtu Zhu, Weili Lin, Michael Breakspear
2011 PLoS ONE  
of brain network topology is revealed.  ...  With resting state functional MRI and a large cohort of normal pediatric subjects (n = 147) imaged during a critical time period of brain development, 3 wk-to 2 yr-old, the temporal and spatial evolution  ...  higher order cognitive functions during this period of time, especially those related with the default network.  ... 
doi:10.1371/journal.pone.0025278 pmid:21966479 pmcid:PMC3179501 fatcat:5h37zgobuvashj6gccqji4u5qy

Sequential defense against random and intentional attacks in complex networks

Pin-Yu Chen, Shin-Ming Cheng
2015 Physical Review E  
network topology.  ...  Network robustness against attacks is one of the most fundamental researches in network science as it is closely associated with the reliability and functionality of various networking paradigms.  ...  As the network resilience varies from network parameters, the critical value of a network can be modified by topology adjustment while keeping the number of links in the network (i.e., the mean degree)  ... 
doi:10.1103/physreve.91.022805 pmid:25768550 fatcat:wkkfads24rdy7g2khjp7duyjua

A First Look into the Structural Properties and Resilience of Blockchain Overlays [article]

Aristodemos Paphitis, Nicolas Kourtellis, Michael Sirivianos
2021 Zenodo  
We also study how these properties associate with the resilience of each network to partitioning attacks, i.e., when peers are selected, attacked and taken offline, using different selection strategies  ...  Blockchain (BC) systems are highly distributed peer-to-peer networks that offer an alternative to centralized services and promise robustness to coordinated attacks.  ...  The KS-test returns the test statistic, , which is the maximum distance between the cumulative distributions of the two samples. It also returns the p-value for the hypothesis test.  ... 
doi:10.5281/zenodo.4671425 fatcat:ydy3uk2ncnfdjd3ppl7xp3eqey

The Internet of Things: Secure Distributed Inference

Yuan Chen, Soummya Kar, Jose M.F. Moura
2018 IEEE Signal Processing Magazine  
This paper overviews algorithms for secure distributed inference in IoT.  ...  As a result, reactive countermeasures, such as intrusion detection and resilient analytics, become vital components of security.  ...  Reference [42] studies distributed hypothesis testing with Byzantines and provides an algorithm that is resilient to a restricted class of weak Byzantine adversaries.  ... 
doi:10.1109/msp.2018.2842097 fatcat:ws7ss5vc6nbj3fi2lbk4lgyjdi

Macroscopic and Microscopic Characteristics of Networks with Time-variant Functionality for Evaluating Resilience to External Perturbations [article]

Xinyu Gao, Shangjia Dong, Ali Mostafavi, Jianxi Gao
2020 arXiv   pre-print
Accordingly, an integrated general resilience (GR) metric is used to assess performance loss and recovery speed in networks with time-variant functionality.  ...  Our results show that link weights and node weighted degrees with perturbed functionality in the traffic network during flooding follow a scale-free distribution.  ...  Flooding: Integrated Assessment of Social, Institutional, and Physical Networks.  ... 
arXiv:2006.09574v1 fatcat:rryfm2rp5fefdagzim2kwb6blu

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning [article]

Zhixiong Yang, Arpita Gang, Waheed U. Bajwa
2020 arXiv   pre-print
While the last few decades have witnessed a huge body of work devoted to inference and learning in distributed and decentralized setups, much of this work assumes a non-adversarial setting in which individual  ...  As a result, we now have a plethora of algorithmic approaches that guarantee robustness of distributed and/or decentralized inference and learning under different adversarial threat models.  ...  Byzantine-resilient distributed binary hypothesis testing is investigated for the first time under the Bayesian framework in [7] , with the critical fraction also given by α * = 1 2 in this case.  ... 
arXiv:1908.08649v2 fatcat:de356dvwinfv5g5njo64qmzpvi
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