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Extraction and Analysis of Facebook Public Data and Images

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Advances in Computing and Network Communications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 735))

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Abstract

Social networks play vital role in human communication and to improve the business applications. The Facebook is one of the most popular social networking application. However, the Facebook generates huge amount of data in the form of text, advertisements, posts, images, and videos. By analyzing Facebook data, we can find the location where our business promising in the real world. While sharing personal data, users demand security. Trust becoming an essential parameter in social networking. In this paper, a new technique is presented to identify duplicate logo images and profile pictures to prevent the fraud in business by keeping secret information in the profile picture or logo without distraction along with theoretical description of Facebook.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Siddartha Educational Academy Group of Institutions, Tirupati, India

    Bala Gangadhara Gutam

  2. Department of Computer Science and Engineering, MRR Institute of Technology and Science, Udayagiri, India

    D. Subhash Chandra Mouli & Sudhakar Majjari

Authors
  1. Bala Gangadhara Gutam
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  2. D. Subhash Chandra Mouli
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  3. Sudhakar Majjari
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Corresponding author

Correspondence to Bala Gangadhara Gutam .

Editor information

Editors and Affiliations

  1. School of Computer Science & Engineering, Indian Institute of Information Technology and Management-Kerala (IIITM-K), Trivandrum, Kerala, India

    Sabu M. Thampi

  2. Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice, Poland

    Erol Gelenbe

  3. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

  4. Department of Computer Science, University at Buffalo, State University, Buffalo, NY, USA

    Vipin Chaudhary

  5. Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan

    Kuan-Ching Li

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© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Gutam, B.G., Subhash Chandra Mouli, D., Majjari, S. (2021). Extraction and Analysis of Facebook Public Data and Images. In: Thampi, S.M., Gelenbe, E., Atiquzzaman, M., Chaudhary, V., Li, KC. (eds) Advances in Computing and Network Communications. Lecture Notes in Electrical Engineering, vol 735. Springer, Singapore. https://doi.org/10.1007/978-981-33-6977-1_16

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  • DOI: https://doi.org/10.1007/978-981-33-6977-1_16

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-6976-4

  • Online ISBN: 978-981-33-6977-1

  • eBook Packages: EngineeringEngineering (R0)

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