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Byzantine-Resilient Distributed Hypothesis Testing With Time-Varying Network Topology
[article]
2021
arXiv
pre-print
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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
2016
Applied Mathematics
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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
2017
Proceedings of the National Academy of Sciences of the United States of America
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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
2012
NeuroImage
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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
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., +, 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
2020
IEEE Transactions on Automatic Control
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., 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
2020
Insect Science
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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
2020
IEEE Access
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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
2011
2011 Atlanta Conference on Science and Innovation Policy
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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
2011
PLoS ONE
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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
2015
Physical Review E
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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]
2021
Zenodo
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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
2018
IEEE Signal Processing Magazine
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2018 pre-print arXiv:1806.09199v1 fatcat:qgja67osmvgyjas4mb2wzalope
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]
2020
arXiv
pre-print
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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]
2020
arXiv
pre-print
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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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