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
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Survey on Online Social Media Networks Facebook Forensics Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Data Security in Recommendation System Using Homomorphic Encryption

verfasst von : Kajol Soni, Gaurang Panchal

Erschienen in: Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 1

Verlag: Springer International Publishing

Einloggen

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

search-config
loading …

Abstract

Cloud computing is like a daily routine now a day. Even though it has numbers of advantages in technical and business view, still there are some challenges there like data storage security, confidentiality and integrity. Main risk in cloud data is about to trust on cloud owner. Encrypted data is not useful for any computational process, so we cannot store as encrypted data. In recommendation system cloud plays very important role. Using homomorphic encryption, we can perform cloud data analyzation. This paper discusses about different homomorphic encryption technique and solution to recommendation system.

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 File Distribution Preparation with File Retrieval and Error Recovery in Cloud Environment
Nächstes Kapitel A Novel Machine Learning Based Approach for Rainfall Prediction
Literatur
1.
Schafer, J.B., Konstan, J., Riedi, J.: Recommender systems in e-commerce. In: Proceedings of the 1st ACM conference on Electronic Commerce, pp. 158–166. ACM Press, New York (1999)
2.
Kargupta, H., Datta, S., Wang, Q., Sivakumar, K.: On the privacy preserving properties of random data perturbation techniques. In: Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), Melbourne, Florida, USA, pp. 99–106. IEEE, November 2003
3.
Lemire, D., Maclachlan, A.: Slope one predictors for online rating-based collaborative filtering. Society for Industrial Mathematics (2005)
4.
Lemire, D., Maclachlan, A.: Slope one predictors for online rating-based collaborative filtering. In Proceedings of the SIAM Data Mining (SDM 2005), Newport Beach, California, USA, April 2005
5.
Aggarwal, C.C., Yu, P.S.: A General Survey of Privacy-Preserving Data Mining Models and Algorithms, Chapter 2, pp. 11–52. Springer, New York (2008)
6.
Han, S., Ng, W.K., Yu, P.S.: Privacy-preserving singular value decomposition. In: Proceedings of the 25th IEEE International Conference on Data Engineering (ICDE 2009), Shanghai, China, IEEE, March–April 2009
7.
Basu, A., Kikuchi, H., Vaidya, J.: Privacy-preserving weighted slope one predictor for item-based collaborative filtering. In: Proceedings of the International Workshop on Trust and Privacy in Distributed Information Processing (TP-DIS 2011), Copenhagen, Denmark, July 2011
8.
Zhang, X., Hong tao D.: Ensure data securiy in cloud stoarge. In: NCIS 2011, pp. 284–287
9.
Vaidya, J., Yakut, I., Basu, A.: Efficient integrity verification for outsourced collaborative filtering. In: Data Mining (ICDM), IEEE (2014)
10.
Kangavalli, R., Vagdevi, S.: A mixed homomorphic encryption scheme for secure data storage in cloud, IEEE (2015)
11.
Ganatra, G., Kosta, Y.P., Panchal, G., Gajjar, C.: Initial classification through back propagation in a neural network following optimization through GA to evaluate the fitness of an algorithm. Int. J. Comput. Sci. Inf. Technol. 3(1), 98–116 (2011)
12.
Panchal, G., Ganatra, A., Kosta, Y., Panchal, D.: Forecasting employee retention probability using back propagation neural network algorithm. In: IEEE 2010 Second International Conference on Machine Learning and Computing (ICMLC), pp. 248–251. Bangalore, India (2010)
13.
Panchal, G., Ganatra, A., Shah, P., Panchal, D.: Determination of over-learning and over-fitting problem in back propagation neural network. Int. J. Soft Comput. 2(2), 40–51 (2011)CrossRef
14.
Panchal, G., Ganatra, A., Kosta, Y., Panchal, D.: Behaviour analysis of mul-tilayer perceptrons with multiple hidden neurons and hidden layers. Int. J. Comput. Theory Eng. 3(2), 332–337 (2011)CrossRef
15.
Panchal, G., Panchal, D.: Solving np hard problems using genetic algorithm. Int. J. Comput. Sci. Inf. Technol 6(2), 1824–1827 (2015)
16.
Panchal, G., Panchal, D.: Efficient attribute evaluation, extraction and selection techniques for data classification. Int. J. Comput. Sci. Inf. Technol 6(2), 1828–1831 (2015)
17.
Panchal, G., Panchal, D.: Forecasting electrical load for home appliances using genetic algorithm based back propagation neural network. Int. J. Adv. Res. Comput. Eng. Technol. (IJARCET) 4(4), 1503–1506 (2015)
18.
Panchal, G., Panchal, D.: Hybridization of genetic algorithm and neural network for optimization problem. Int. J. Adv. Res. Comput. Eng. Technol. (IJARCET) 4(4), 1507–1511 (2015)
19.
Panchal, G., Samanta, D.: Comparable features and same cryptography key generation using biometric fingerprint image. In: 2nd IEEE International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics, pp. 1–6. AEEICB (2016)
20.
Panchal, G., Samanta, D.: Directional area based minutiae selection and cryptographic key generation using biometric fingerprint. In: 1st International Conference on Computational Intelligence and Informatics, pp. 1–8. Springer, New York (2016)
21.
Panchal, G., Samanta, D., Barman, S.: Biometric-based cryptography for digital content protection without any key storage, pp. 1–18. Springer (Multimedia Tools and Application), New York (2017)
22.
Panchal, G., Kosta, Y., Ganatra, A., Panchal, D.: Electrical load forecasting using genetic algorithm based back propagation network. In: 1st International Conference on Data Management, IMT Ghaziabad. MacMillan Publication (2009)
23.
Patel, G., Panchal, G.: A chaff-point based approach for cancelable template generation of fingerprint data. In: International Conference on ICT for Intelligent Systems (ICTIS 2017), p. 6 (2017)
24.
Patel, J., Panchal, G.: An IOT based portable smart meeting space with real-time room occupancy. In: International Conference on ICT for Intelligent Systems (ICTIS 2017), pp. 1–6 (2017)
25.
Soni, K., Panchal, G.: Data security in recommendation system using homo-morphic encryption. In: International Conference on ICT for Intelligent Systems (ICTIS 2017), pp. 1–6 (2017)
26.
Patel, N., Panchal, G.: An approach to analyze data corruption and identify misbehaving server. In: International Conference on ICT for Intelligent Systems (ICTIS 2017), pp. 1–6 (2017)
27.
Bhimani, P., Panchal, G.: Message delivery guarantee and status update of clients based on IOT-AMQP. In: International Conference on Internet of Things for Technological Development (IoT4TD-2017), pp. 1–6 (2017)
28.
Mehta, S., Panchal, G.: File distribution preparation with file retrieval and error recovery in cloud environment. In: International Conference on ICT for Intelligent Systems (ICTIS 2017), p. 6 (2017)
29.
Kosta, Y., Panchal, D., Panchal, G., Ganatra, A.: Searching most efficient neural network architecture using Akaikes information criterion (AIC). Int. J. Comput. Appl. 1(5), 41–44 (2010)
Metadaten
Titel
Data Security in Recommendation System Using Homomorphic Encryption
verfasst von
Kajol Soni
Gaurang Panchal
Copyright-Jahr
2018
Buch
Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 1

Print ISBN: 978-3-319-63672-6

Electronic ISBN: 978-3-319-63673-3

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-63673-3_37

Premium Partner

    Bildnachweise