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Books on the topic 'Analysis of encrypted network flow'

Author: Grafiati

Published: 16 November 2024

Last updated: 31 July 2025

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1

Cherukuri, Aswani Kumar, Sumaiya Thaseen Ikram, Gang Li, and Xiao Liu. Encrypted Network Traffic Analysis. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-62909-9.

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2

Jensen, Paul A. Network flow programming. R.E. Krieger Pub. Co., 1987.

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3

Williams-Sether, Tara. Analysis of the peak-flow gaging network in North Dakota. U.S. Dept. of the Interior, U.S. Geological Survey, 1996.

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4

Williams-Sether, Tara. Analysis of the peak-flow gaging network in North Dakota. U.S. Dept. of the Interior, U.S. Geological Survey, 1996.

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5

Williams-Sether, Tara. Analysis of the peak-flow gaging network in North Dakota. U.S. Dept. of the Interior, U.S. Geological Survey, 1996.

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6

Tara, Williams-Sether. Analysis of the peak-flow gaging network in North Dakota. U.S. Dept. of the Interior, U.S. Geological Survey, 1996.

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7

Tara, Williams-Sether. Analysis of the peak-flow gaging network in North Dakota. U.S. Dept. of the Interior, U.S. Geological Survey, 1996.

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8

Williams-Sether, Tara. Analysis of the peak-flow gaging network in North Dakota. U.S. Dept. of the Interior, U.S. Geological Survey, 1996.

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9

Tara, Williams-Sether. Analysis of the peak-flow gaging network in North Dakota. U.S. Dept. of the Interior, U.S. Geological Survey, 1996.

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10

Tara, Williams-Sether. Analysis of the peak-flow gaging network in North Dakota. U.S. Dept. of the Interior, U.S. Geological Survey, 1996.

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11

Goldberg, Andrew V. A natural randomization strategy for multicommodity flow and related algorithms. Dept. of Computer Science, Stanford University, 1991.

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12

T, Leighton, ed. Fast approximation algorithms for multicommodity flow problems. Dept. of Computer Science, Stanford University, 1991.

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13

Jung, Soojung. Roadway network productivity assessment: System-wide analysis under variant travel demand. U.S. Dept. of Transportation, Federal Highway Administration, 2009.

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14

Janetzke, David C. Efficient computation of aerodynamic influence coefficients for aeroelastic analysis on a transputer network. National Aeronautics and Space Administration, 1991.

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15

Antoni, Mazurkiewicz, MONDILEX, and Instytut Slawistyki (Polska Akademia Nauk), eds. Time flow and tenses. Slawistyczny Ośrodek Wydawniczy, 2010.

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16

Aikens, C. Harold. A fixed-charge multicommodity network flow algorithm and a warehouse location application. Naval Postgradute School, 1985.

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17

Slatnick, Jennifer A. Network flow model analysis of the impact of chlorofluorocarbon phaseout on acid-grade fluorspar. U.S. Dept. of the Interior, Bureau of Mines, 1994.

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18

Derigs, Ulrich. Programming in networks and graphs: On the combinatorial background and near-equivalence of network flow and matching algorithms. Springer-Verlag, 1988.

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19

Boyle, Edward H. Chromium availability in market economy countries and network flow model analysis of world chromium supply. U.S. Dept. of the Interior, Bureau of Mines, 1993.

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20

Omang, R. J. Analysis of the magnitude and frequency of floods and the peak-flow gaging network in Montana. U.S. Dept. of the Interior, U.S. Geological Survey, 1992.

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21

Brandimarte, Paolo. Introduction to distribution logistics. John Wiley, 2007.

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22

Spirin, Yuriy, Sergey Zotov, Evgeniy Krasnov, and Nadezhda Cvetkova. Polder watercourses: research methods and geoecological assessment. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1903343.

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The monograph describes research methods and geoecological assessment of polder lands. The history of research and practical use of surface waters of the Kaliningrad region is characterized, modern problems of their geoecological state are revealed. The characteristic of polder lands as complex natural and economic systems is given, the necessity of geoecological studies of the catchments of small rivers located on them is substantiated. A methodological approach has been developed to assess the geoecological condition of the basins of small watercourses through the combined analysis of

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23

Ikram, Sumaiya Thaseen. Encrypted Network Traffic Analysis. Springer International Publishing AG, 2024.

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24

Network flow analysis. No Starch Press, 2010.

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25

Garcia-Diaz, Alberto, and Don T. Phillips. Fundamentals of Network Analysis and Flow Optimization. Virtualbookworm.com Publishing, Incorporated, 2022.

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26

Masao. Network Flow, Transportation, and Scheduling; Theory and Algorithms. Elsevier Science & Technology Books, 2011.

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27

Sepil, Canan A. Dual simplex algorithms on network flow problems and extensions. 1987.

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28

Choi, Wonjoon. Network flow models of building evacuation problems with flow- dependent arc capacities. 1987.

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29

Jin, Wenlong. Introduction to Network Traffic Flow Theory: Modeling, Analysis, Simulation, and Empirics. Elsevier, 2020.

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30

Jin, Wenlong. Introduction to Network Traffic Flow Theory: Modeling, Analysis, Simulation, and Empirics. Elsevier, 2021.

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31

Derigs, Ulrich. Programming in Networks and Graphs: On the Combinatorial Background and near-Equivalence of Network Flow and Matching Algorithms. Springer London, Limited, 2013.

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32

Derigs, Ulrich. Programming in Networks and Graphs: On The Combinatorial Background And Near-Equivalence Of Network Flow And Matching Algorithms. Springer, 1988.

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33

Lee, Seung-Chul. A new power flow and sensitivity analysis method using a generalized power flow algorithm, interactive computer graphics, and artificial intelligence. 1985.

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34

Zotteri, Giulio, and Paolo Brandimarte. Introduction to Distribution Logistics. Wiley & Sons, Incorporated, John, 2007.

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35

Zotteri, Giulio, and Paolo Brandimarte. Introduction to Distribution Logistics. Wiley & Sons, Incorporated, John, 2007.

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36

Light, Ryan, and James Moody, eds. The Oxford Handbook of Social Networks. Oxford University Press, 2020. http://dx.doi.org/10.1093/oxfordhb/9780190251765.001.0001.

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Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and sub

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37

Woolley, Samuel C., and Douglas Guilbeault. United States. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190931407.003.0009.

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Do bots have the capacity to influence the flow of political information over social media? This chapter answers this question through two methodological avenues: a) a qualitative analysis of how political bots were used to support United States presidential candidates and campaigns during the 2016 election, and b) a network analysis of bot influence on Twitter during the same event. Political bots are automated software programs that operate on social media, written to mimic real people in order to manipulate public opinion. The qualitative findings are based upon nine months of fieldwork on

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38

Brughmans, Tom, Anna Collar, and Fiona Coward, eds. The Connected Past. Oxford University Press, 2016. http://dx.doi.org/10.1093/oso/9780198748519.001.0001.

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One of the most exciting recent developments in archaeology and history has been the adoption of new perspectives which see human societies in the past--as in the present--as made up of networks of interlinked individuals. This view of people as always connected through physical and conceptual networks along which resources, information, and disease flow, requires archaeologists and historians to use new methods to understand how these networks form, function, and change over time. The Connected Past provides a constructive methodological and theoretical critique of the growth in research appl

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39

Herrnson, Paul S., and Justin H. Kirkland. Political Parties and Campaign Finance Networks. Edited by Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780190228217.013.16.

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This chapter argues that to accurately gauge the impact of political parties on elections, it is necessary to look beyond traditional party committees and consider these organizations’ impact on the thousands of other groups that participate in the financing of campaigns. Using social network analysis and federal campaign finance data, the chapter demonstrates the existence of two distinctive hierarchical extended party networks, each comprising formal party organizations, campaign committees associated with members of Congress and congressional candidates, and PACs allied with one party. It a

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40

Perdigão, Rui A. P. Unfolding the Manifold Flavours of Causality. Meteoceanics Institute, 2024. http://dx.doi.org/10.46337/mdsc.1804.

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The present work provides a contribution to an overarching cross-methodological causality investigation, encompassing a methodological synergy among physical, analytical, information-theoretic and systems intelligence approaches to causal discovery and quantification in complex system dynamics. These efforts methodologically lead to the emergence of a broader causal framework, valid not only in classical recurrence-based dynamical systems, but also on the generalized information physics of non-ergodic coevolutionary spatiotemporal complexity. This study begins with a comprehensive cross-examin

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