Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Introduction Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

11. Identifying Multiple Propagation Sources

verfasst von : Jiaojiao Jiang, Sheng Wen, Shui Yu, Bo Liu, Yang Xiang, Wanlei Zhou

Erschienen in: Malicious Attack Propagation and Source Identification

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The global diffusion of epidemics, computer viruses and rumors causes great damage to our society. One critical issue to identify the multiple diffusion sources so as to timely quarantine them. However, most methods proposed so far are unsuitable for diffusion with multiple sources because of the high computational cost and the complex spatiotemporal diffusion processes. In this chapter, we introduce an effective method to identify multiple diffusion sources, which can address three main issues in this area: (1) How many sources are there? (2) Where did the diffusion emerge? (3) When did the diffusion break out? For simplicity, we use rumor source identification to present the approach.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Identifying Propagation Source in Time-Varying Networks
Nächstes Kapitel Identifying Propagation Source in Large-Scale Networks
Literatur
24.
D. Brockmann and D. Helbing. The hidden geometry of complex, network-driven contagion phenomena. Science, 342(6164):1337–1342, 2013.CrossRef
32.
Z. Chen, K. Zhu, and L. Ying. Detecting multiple information sources in networks under the sir model. In Information Sciences and Systems (CISS), 2014 48th Annual Conference on, pages 1–4. IEEE, 2014.
58.
V. Fioriti, M. Chinnici, and J. Palomo. Predicting the sources of an outbreak with a spectral technique. Applied Mathematical Sciences, 8(135):6775–6782, 2014.CrossRef
62.
C. Fraser, C. A. Donnelly, S. Cauchemez, W. P. Hanage, M. D. Van Kerkhove, T. D. Hollingsworth, J. Griffin, R. F. Baggaley, H. E. Jenkins, E. J. Lyons, et al. Pandemic potential of a strain of influenza a (h1n1): early findings. science, 324(5934):1557–1561, 2009.CrossRef
72.
M. Girvan and M. E. Newman. Community structure in social and biological networks. Proceedings of the National Academy of Sciences, 99(12):7821–7826, 2002.MathSciNetCrossRef
82.
H. Jeong, S. P. Mason, A. L. Barabasi, and Z. N. Oltvai. Lethality and centrality in protein networks. Nature, 411(6833):41–42, May 2001.CrossRef
114.
W. Luo and W. P. Tay. Finding an infection source under the sis model. In Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on, pages 2930–2934, 2013.
115.
W. Luo, W. P. Tay, and M. Leng. Identifying infection sources and regions in large networks. Signal Processing, IEEE Transactions on, 61(11):2850–2865, 2013.MathSciNetCrossRef
116.
W. Luo, W. P. Tay, and M. Leng. How to identify an infection source with limited observations. IEEE Journal of Selected Topics in Signal Processing, 8(4):586–597, 2014.CrossRef
119.
D. MacRae. 5 viruses to be on the alert for in 2014.
123.
A. R. McLean, R. M. May, J. Pattison, R. A. Weiss, et al. SARS: A case study in emerging infections. Oxford University Press, 2005.
132.
M. E. Newman. A measure of betweenness centrality based on random walks. Social networks, 27(1):39–54, 2005.CrossRef
142.
C. Pash. The lure of naked hollywood star photos sent the internet into meltdown in new zealand. Business Insider Australia, September 7 2014, 4:21 PM.
144.
S. Pettie and V. Ramachandran. A shortest path algorithm for real-weighted undirected graphs. SIAM Journal on Computing, 34(6):1398–1431, 2005.MathSciNetCrossRef
148.
B. A. Prakash, J. Vreeken, and C. Faloutsos. Efficiently spotting the starting points of an epidemic in a large graph. Knowledge and Information Systems, 38(1):35–59, 2014.CrossRef
152.
M. Rosvall and C. T. Bergstrom. An information-theoretic framework for resolving community structure in complex networks. Proceedings of the National Academy of Sciences, 104(18):7327–7331, 2007.CrossRef
160.
D. Shah and T. Zaman. Detecting sources of computer viruses in networks: Theory and experiment. In Proceedings of the ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS ’10, pages 203–214. ACM, 2010.
161.
D. Shah and T. Zaman. Rumors in a network: Who’s the culprit? IEEE Transactions on information theory, 57(8):5163–5181, 2011.MathSciNetCrossRef
168.
W. E. R. Team. Ebola virus disease in west africathe first 9 months of the epidemic and forward projections. N Engl J Med, 371(16):1481–95, 2014.CrossRef
171.
B. Viswanath, A. Mislove, M. Cha, and K. P. Gummadi. On the evolution of user interaction in facebook. In Proceedings of the 2nd ACM workshop on Online social networks, WOSN ’09, pages 37–42, 2009.
176.
Y. Wang, S. Wen, Y. Xiang, and W. Zhou. Modeling the propagation of worms in networks: A survey. Communications Surveys Tutorials, IEEE, PP(99):1–19, 2013.
180.
D. J. Watts and S. H. Strogatz. Collective dynamics of ‘small-world’ networks. nature, 393(6684):440–442, 1998.CrossRef
186.
S. Wen, W. Zhou, J. Zhang, Y. Xiang, W. Zhou, and W. Jia. Modeling propagation dynamics of social network worms. Parallel and Distributed Systems, IEEE Transactions on, 24(8):1633–1643, 2013.CrossRef
195.
K. Yang, A. H. Shekhar, D. Oliver, and S. Shekhar. Capacity-constrained network-voronoi diagram: a summary of results. In International Symposium on Spatial and Temporal Databases, pages 56–73. Springer, 2013.
203.
K. Zhu and L. Ying. Information source detection in the sir model: a sample-path-based approach. IEEE/ACM Transactions on Networking, 24(1):408–421, 2016.CrossRef
207.
C. C. Zou, D. Towsley, and W. Gong. Modeling and simulation study of the propagation and defense of internet e-mail worms. IEEE Transactions on dependable and secure computing, 4(2):105–118, 2007.CrossRef
Metadaten
Titel
Identifying Multiple Propagation Sources
verfasst von
Jiaojiao Jiang
Sheng Wen
Shui Yu
Bo Liu
Yang Xiang
Wanlei Zhou
Copyright-Jahr
2019
Buch
Malicious Attack Propagation and Source Identification

Print ISBN: 978-3-030-02178-8

Electronic ISBN: 978-3-030-02179-5

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-02179-5_11

Premium Partner

    Bildnachweise