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Journal articles on the topic 'Fast-flux'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

Almomani, Ammar. "Fast-flux hunter: a system for filtering online fast-flux botnet." Neural Computing and Applications 29, no. 7 (2016): 483–93. http://dx.doi.org/10.1007/s00521-016-2531-1.

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2

Al-Nawasrah, Ahmad, Ammar Ali Almomani, Samer Atawneh, and Mohammad Alauthman. "A Survey of Fast Flux Botnet Detection With Fast Flux Cloud Computing." International Journal of Cloud Applications and Computing 10, no. 3 (2020): 17–53. http://dx.doi.org/10.4018/ijcac.2020070102.

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A botnet refers to a set of compromised machines controlled distantly by an attacker. Botnets are considered the basis of numerous security threats around the world. Command and control (C&C) servers are the backbone of botnet communications, in which bots send a report to the botmaster, and the latter sends attack orders to those bots. Botnets are also categorized according to their C&C protocols, such as internet relay chat (IRC) and peer-to-peer (P2P) botnets. A domain name system (DNS) method known as fast-flux is used by bot herders to cover malicious botnet activities and increas

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3

Al-Duwairi, Basheer N., and Ahmad T. Al-Hammouri. "Fast Flux Watch: A mechanism for online detection of fast flux networks." Journal of Advanced Research 5, no. 4 (2014): 473–79. http://dx.doi.org/10.1016/j.jare.2014.01.002.

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4

Qassrawi, Mahmoud T., and Hong Li Zhang. "Detecting Malicious Fast Flux Domains." Applied Mechanics and Materials 157-158 (February 2012): 1264–73. http://dx.doi.org/10.4028/www.scientific.net/amm.157-158.1264.

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Fast-flux service networks (FFSN) are new emerging phenomenon in the internet. Fast-flux networks use proxy networks of compromised machines to redirect and host scam service to achieve high availability. Such technique helps scam websites to avoid being traced and taken down by security professionals. In this paper, we use alternative decision tree algorithm to identify presence of fast-flux domains by analyzing only one address record (A-record) of DNS lookup, which achieves fast detection.

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5

Baumjohann, W., R. Schödel, and R. Nakamura. "Bursts of fast magnetotail flux transport." Advances in Space Research 30, no. 10 (2002): 2241–46. http://dx.doi.org/10.1016/s0273-1177(02)80234-4.

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6

Zhou, Shijie. "A Survey on Fast-flux Attacks." Information Security Journal: A Global Perspective 24, no. 4-6 (2015): 79–97. http://dx.doi.org/10.1080/19393555.2015.1058994.

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7

Müller, Arne C., and Alexander Bockmayr. "Fast thermodynamically constrained flux variability analysis." Bioinformatics 29, no. 7 (2013): 903–9. http://dx.doi.org/10.1093/bioinformatics/btt059.

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8

Karelin, Ye A., V. N. Efimov, V. T. Filimonov, et al. "Radionuclide production using a fast flux reactor." Applied Radiation and Isotopes 53, no. 4-5 (2000): 825–27. http://dx.doi.org/10.1016/s0969-8043(00)00236-0.

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9

Reimers, Arne C., Frank J. Bruggeman, Brett G. Olivier, and Leen Stougie. "Fast Flux Module Detection Using Matroid Theory." Journal of Computational Biology 22, no. 5 (2015): 414–24. http://dx.doi.org/10.1089/cmb.2014.0141.

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10

Jones, Chris. "A Fast Ocean GCM without Flux Adjustments." Journal of Atmospheric and Oceanic Technology 20, no. 12 (2003): 1857–68. http://dx.doi.org/10.1175/1520-0426(2003)020<1857:afogwf>2.0.co;2.

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11

TungMing Koo, HungChang Chang, and ChunCheng Chuang. "Detecting and Analyzing Fast-Flux Service Networks." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 4, no. 10 (2012): 183–90. http://dx.doi.org/10.4156/aiss.vol4.issue10.22.

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12

Thie, J. A. "Fast flux test facility noise data management." Progress in Nuclear Energy 21 (January 1988): 173–80. http://dx.doi.org/10.1016/0149-1970(88)90032-7.

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13

Knauss, Helmut, Tim Roediger, Dimitry A. Bountin, Boris V. Smorodsky, Anatoly A. Maslov, and Julio Srulijes. "Novel Sensor for Fast Heat Flux Measurements." Journal of Spacecraft and Rockets 46, no. 2 (2009): 255–65. http://dx.doi.org/10.2514/1.32011.

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14

Yang, Lu, and Gang Gan. "Research and Detection of Fast-flux Botnet." IOP Conference Series: Earth and Environmental Science 693, no. 1 (2021): 012031. http://dx.doi.org/10.1088/1755-1315/693/1/012031.

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15

Wang, Yuwei, Jiande Zhang, Dongqun Chen, Shengguang Cao, Da Li, and Chebo Liu. "Fast modeling of flux trapping cascaded explosively driven magnetic flux compression generators." Review of Scientific Instruments 84, no. 1 (2013): 014703. http://dx.doi.org/10.1063/1.4775488.

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16

Tedja, Andreas, Charles Lim, and Heru Purnomo Ipung. "Detecting Network Anomalies In ISP Network Using DNS And NetFlow." ICONIET PROCEEDING 2, no. 3 (2019): 238–42. http://dx.doi.org/10.33555/iconiet.v2i3.38.

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The Internet has become the biggest medium for people to communicate with otherpeople all around the world. However, the Internet is also home to hackers with maliciouspurposes. This poses a problem for Internet Service Providers (ISP) and its user, since it ispossible that their network is compromised and damages may be done. There are many types ofmalware that currently exist on the Internet. One of the growing type of malware is botnet.Botnet can infect a system and make it a zombie machine capable of doing distributed attacksunder the command of the botmaster. In order to make detection of

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17

Kofuji, H., K. Komura, Y. Yamada, and M. Yamamoto. "An estimation of fast neutron flux by reaction." Journal of Environmental Radioactivity 50, no. 1-2 (2000): 49–54. http://dx.doi.org/10.1016/s0265-931x(00)00060-6.

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18

Huang, L. R., J. H. Feng, S. Y. Guo, J. X. Shi, W. Q. Chu, and Z. Q. Zhu. "Fast design method of variable flux reluctance machines." CES Transactions on Electrical Machines and Systems 2, no. 1 (2018): 152–59. http://dx.doi.org/10.23919/tems.2018.8326462.

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19

Collado, Francisco J., and Jesus Guallar. "Fast and reliable flux map on cylindrical receivers." Solar Energy 169 (July 2018): 556–64. http://dx.doi.org/10.1016/j.solener.2018.05.037.

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20

Fu-Hau Hsu, Chuan-Sheng Wang, Chi-Hsien Hsu, Chang-Kuo Tso, Li-Han Chen, and Song-Hui Lin. "Detect Fast-Flux Domains Through Response Time Differences." IEEE Journal on Selected Areas in Communications 32, no. 10 (2014): 1947–56. http://dx.doi.org/10.1109/jsac.2014.2358814.

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21

Wang, Jiajia, and Yu Chen. "Fast-Flux Detection Method Based on DNS Attribute." Journal of Physics: Conference Series 1325 (October 2019): 012049. http://dx.doi.org/10.1088/1742-6596/1325/1/012049.

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22

Yu, Xiangzhan, Bo Zhang, Le Kang, and Juan Chen. "Fast-Flux Botnet Detection Based on Weighted SVM." Information Technology Journal 11, no. 8 (2012): 1048–55. http://dx.doi.org/10.3923/itj.2012.1048.1055.

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23

Garcia, Jorge, and Beatriz Baña de Schor. "A fast gauge for energy flux density measurement." Review of Scientific Instruments 61, no. 1 (1990): 165–70. http://dx.doi.org/10.1063/1.1141868.

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24

Turko, Andy. "Fungused frogs fail to fix fast fluid flux." Journal of Experimental Biology 222, no. 19 (2019): jeb193086. http://dx.doi.org/10.1242/jeb.193086.

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25

van Heiningen, A. R. P., W. J. M. Douglas, and A. S. Mujumdar. "A high sensitivity, fast response heat flux sensor." International Journal of Heat and Mass Transfer 28, no. 9 (1985): 1657–67. http://dx.doi.org/10.1016/0017-9310(85)90140-1.

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26

Fu, Tairan, Anzhou Zong, Jibin Tian, and Chengyun Xin. "Gardon gauge measurements of fast heat flux transients." Applied Thermal Engineering 100 (May 2016): 501–7. http://dx.doi.org/10.1016/j.applthermaleng.2016.02.043.

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27

Castro, H., J. F. Loude, E. Holguin, and L. Rinderer. "The fast penetration of magnetic flux in HTSC." Physica C: Superconductivity 235-240 (December 1994): 2921–22. http://dx.doi.org/10.1016/0921-4534(94)90987-3.

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28

Peterson, W. K., T. N. Woods, P. C. Chamberlin, and P. G. Richards. "Photoelectron flux variations observed from the FAST satellite." Advances in Space Research 42, no. 5 (2008): 947–56. http://dx.doi.org/10.1016/j.asr.2007.08.038.

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29

Al-Duwairi, Basheer, Moath Jarrah, and Ahmed S. Shatnawi. "PASSVM: A highly accurate fast flux detection system." Computers & Security 110 (November 2021): 102431. http://dx.doi.org/10.1016/j.cose.2021.102431.

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30

Ashok Kumar, G. V. S., C. R. Venkata Subramani, R. Kumar, et al. "Design, installation and preliminary flux measurements at the Fast Flux Experimental Facility (FFEF) of the Fast Breeder Test Reactor (FBTR)." Journal of Radioanalytical and Nuclear Chemistry 320, no. 1 (2019): 255–63. http://dx.doi.org/10.1007/s10967-019-06463-3.

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31

Richardson, W. N., D. Bilan, M. Hoppensack, and L. Oppenheimer. "Fast-phase transvascular fluid flux and the Fahraeus effect." Journal of Applied Physiology 62, no. 4 (1987): 1513–20. http://dx.doi.org/10.1152/jappl.1987.62.4.1513.

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Transvascular fluid flux was induced in six isolated blood-perfused canine lobes by increasing and decreasing hydrostatic inflow pressure (Pi). Fluid flux was followed against the change in concentration of an impermeable tracer (Blue Dextran) measured directly with a colorimetric device. The time course of fluid flux was biphasic with an initial fast transient followed by a slow phase. Hematocrit changes unrelated to fluid flux occurred due to the Fahraeus effect, and their contribution to the total color signal was subtracted to determine the rate of fast fluid flux (Qf). Qf was related to P

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32

Fourmentel, D., J.-F. Villard, C. Destouches, B. Geslot, L. Vermeeren, and M. Schyns. "In-Pile Qualification of the Fast-Neutron-Detection-System." EPJ Web of Conferences 170 (2018): 04025. http://dx.doi.org/10.1051/epjconf/201817004025.

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In order to improve measurement techniques for neutron flux assessment, a unique system for online measurement of fast neutron flux has been developed and recently qualified in-pile by the French Alternative Energies and Atomic Energy Commission (CEA) in cooperation with the Belgian Nuclear Research Centre (SCK•ECEN). The Fast-Neutron-Detection-System (FNDS) has been designed to monitor accurately high-energy neutrons flux (E > 1 MeV) in typical Material Testing Reactor conditions, where overall neutron flux level can be as high as 1015 n.cm-2.s-1 and is generally dominated by thermal neutr

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33

Mahdavi, Mohammad, and Maryam Shahbahrami. "Multiplication of Fast Neutrons Source Flux by Using Deuterium-Helium-3 Plasma." ISRN High Energy Physics 2013 (May 30, 2013): 1–4. http://dx.doi.org/10.1155/2013/689739.

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The production of fast neutrons source is examined by using a thermal neutron flux inside plasma. In order to reach a favorable yield of fast neutrons flux, the parameters such as energy loss rate, reaction probability, and neutron absorption length are calculated. The nuclear conversion efficiency, , of thermal neutron to fast neutrons is obtained to be by calculating the physical parameters for the plasma designed.

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34

Wang Yuwei, 王俞卫, 陈冬群 Chen Dongqun, 张建德 Zhang Jiande, et al. "Fast calculation model for helical magnetic flux compression generators." High Power Laser and Particle Beams 23, no. 1 (2011): 255–58. http://dx.doi.org/10.3788/hplpb20112301.0255.

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35

Abbotts, John. "The long, slow death of the fast flux facility." Bulletin of the Atomic Scientists 60, no. 5 (2004): 56–62. http://dx.doi.org/10.2968/060005014.

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36

Karak, Bidya Binay, and Kristof Petrovay. "Flux transport dynamo coupled with a fast tachocline scenario." Proceedings of the International Astronomical Union 8, S294 (2012): 427–28. http://dx.doi.org/10.1017/s174392131300286x.

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AbstractThe tachocline is important in the solar dynamo for the generation and the storage of the magnetic fields. A most plausible explanation for the confinement of the tachocline is given by the fast tachocline model in which the tachocline is confined by the anisotropic momentum transfer by the Maxwell stress of the dynamo generated magnetic fields. We employ a flux transport dynamo model coupled with the simple feedback formula of this fast tachocline model which basically relates the thickness of the tachocline to the Maxwell stress. We find that this nonlinear coupling not only produces

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37

Castro, H., L. Rinderer, E. Holguín, and J. F. Loude. "Dynamics of fast flux penetration in high-Tc superconductors." Physica C: Superconductivity 281, no. 4 (1997): 293–302. http://dx.doi.org/10.1016/s0921-4534(97)01476-7.

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38

Abbotts, John. "The Long, Slow Death of the Fast Flux Reactor." Bulletin of the Atomic Scientists 60, no. 5 (2004): 56–62. http://dx.doi.org/10.1080/00963402.2004.11460821.

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39

Lucoff, D. M. "Passive Safety Testing at the Fast Flux Test Facility." Nuclear Technology 88, no. 1 (1989): 21–29. http://dx.doi.org/10.13182/nt89-a34333.

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40

Hemsing, E. W., I. Furno, and T. P. Intrator. "Fast camera images of flux ropes during plasma relaxation." IEEE Transactions on Plasma Science 33, no. 2 (2005): 448–49. http://dx.doi.org/10.1109/tps.2005.845143.

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41

Chiang, K. L., G. A. Hallock, A. J. Wootton, and L. Wang. "Fast tokamak plasma flux and electron density reconstruction technique." Review of Scientific Instruments 68, no. 1 (1997): 894–97. http://dx.doi.org/10.1063/1.1147714.

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42

Puig, T., P. G. Huggard, Gi Schneider, et al. "Fast photoresponse from infrared-laser-induced flux motion inYBa2Cu3Oxfilms." Physical Review B 46, no. 17 (1992): 11240–42. http://dx.doi.org/10.1103/physrevb.46.11240.

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43

Rodriguez, Rafael, R. A. Gómez, and J. Rodríguez. "Fast square root calculation for DTC magnetic flux estimator." IEEE Latin America Transactions 12, no. 2 (2014): 112–15. http://dx.doi.org/10.1109/tla.2014.6749526.

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44

Uhlar, Radim, Petr Alexa, Ondrej Harkut, and Pavlina Harokova. "Modified Texas Convention Method for Fast Neutron Flux Measurements." IEEE Transactions on Nuclear Science 67, no. 1 (2020): 382–88. http://dx.doi.org/10.1109/tns.2019.2959822.

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45

Trofimov, Yu N. "Measurement of fast-neutron flux density by means of156dY." Atomic Energy 73, no. 6 (1992): 1018. http://dx.doi.org/10.1007/bf00761447.

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46

Weisz-Patrault, Daniel, Alain Ehrlacher, and Nicolas Legrand. "Temperature and heat flux fast estimation during rolling process." International Journal of Thermal Sciences 75 (January 2014): 1–20. http://dx.doi.org/10.1016/j.ijthermalsci.2013.07.010.

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47

Lin, Hui-Tang, Ying-You Lin, and Jui-Wei Chiang. "Genetic-based real-time fast-flux service networks detection." Computer Networks 57, no. 2 (2013): 501–13. http://dx.doi.org/10.1016/j.comnet.2012.07.017.

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48

Bennett, Douglas A., Luigi Longobardi, Vijay Patel, Wei Chen, and James E. Lukens. "rf-SQUID qubit readout using a fast flux pulse." Superconductor Science and Technology 20, no. 11 (2007): S445—S449. http://dx.doi.org/10.1088/0953-2048/20/11/s28.

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49

Kadowaki, Luis H. S., Elisabete M. de Gouveia Dal Pino, Tania E. Medina-Torrejón, Yosuke Mizuno, and Pankaj Kushwaha. "Fast Magnetic Reconnection Structures in Poynting Flux-dominated Jets." Astrophysical Journal 912, no. 2 (2021): 109. http://dx.doi.org/10.3847/1538-4357/abee7a.

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50

Naoe, Takuto, So Noguchi, Vlatko Cingoski, and Hajime Igarashi. "Fast Magnetic Flux Line Allocation Algorithm for Interactive Visualization Using Magnetic Flux Line Existence Probability." IEEE Transactions on Magnetics 52, no. 3 (2016): 1–4. http://dx.doi.org/10.1109/tmag.2015.2491318.

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