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Investigating the applications of artificial intelligence in cyber security

Author

Listed:
  • Naveed Naeem Abbas

    (The Islamia University of Bahawalpur)

  • Tanveer Ahmed

    (COMSATS University)

  • Syed Habib Ullah Shah

    (The Islamia University of Bahawalpur)

  • Muhammad Omar

    (The Islamia University of Bahawalpur)

  • Han Woo Park

    (YeungNam University)

Abstract

Artificial Intelligence (AI) provides instant insights to pierce through the noise of thousands of daily security alerts. The recent literature focuses on AI’s application to cyber security but lacks visual analysis of AI applications. Structural changes have been observed in cyber security since the emergence of AI. This study promotes the development of theory about AI in cyber security, helps researchers establish research directions, and provides a reference that enterprises and governments can use to plan AI applications in the cyber security industry. Many countries, institutions and authors are densely connected through collaboration and citation networks. Artificial neural networks, an AI technique, gave birth to today’s research on cloud cyber security. Many research hotspots such as those on face recognition and deep neural networks for speech recognition may create future hotspots on emerging technology, such as on artificial intelligence systems for security. This study visualizes the structural changes, hotspots and emerging trends in AI studies. Five evaluation factors are used to judge the hotspots and trends of this domain and a heat map is used to identify the areas of the world that are generating research on AI applications in cyber security. This study is the first to provide an overall perspective of hotspots and trends in the research on AI in the cyber security domain.

Suggested Citation

  • Naveed Naeem Abbas & Tanveer Ahmed & Syed Habib Ullah Shah & Muhammad Omar & Han Woo Park, 2019. "Investigating the applications of artificial intelligence in cyber security," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 1189-1211, November.
    • Handle: RePEc:spr:scient:v:121:y:2019:i:2:d:10.1007_s11192-019-03222-9
    DOI: 10.1007/s11192-019-03222-9
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    References listed on IDEAS

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    1. Muhammad Omar & Arif Mehmood & Gyu Sang Choi & Han Woo Park, 2017. "Global mapping of artificial intelligence in Google and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1269-1305, December.
    2. Shengbo Liu & Chaomei Chen & Kun Ding & Bo Wang & Kan Xu & Yuan Lin, 2014. "Literature retrieval based on citation context," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1293-1307, November.
    3. Philippe Aghion & Benjamin F. Jones & Charles I. Jones, 2018. "Artificial Intelligence and Economic Growth," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 237-282, National Bureau of Economic Research, Inc.
    4. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    5. Hyejin Park & Han Woo Park, 2018. "Two-side face of knowledge building using scientometric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(6), pages 2815-2836, November.
    6. Kim Holmberg & Han Woo Park, 2018. "An altmetric investigation of the online visibility of South Korea-based scientific journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 603-613, October.
    7. Hsin-Ning Su & Pei-Chun Lee, 2010. "Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 65-79, October.
    8. Saridakis, George & Benson, Vladlena & Ezingeard, Jean-Noel & Tennakoon, Hemamali, 2016. "Individual information security, user behaviour and cyber victimisation: An empirical study of social networking users," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 320-330.
    9. Kim, Ha Jin & Jeong, Yoo Kyung & Song, Min, 2016. "Content- and proximity-based author co-citation analysis using citation sentences," Journal of Informetrics, Elsevier, vol. 10(4), pages 954-966.
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    Cited by:

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    2. Yifan Song & Takashi Natori & Xintao Yu, 2024. "Tracing the Evolution of E-Government: A Visual Bibliometric Analysis from 2000 to 2023," Administrative Sciences, MDPI, vol. 14(7), pages 1-25, June.
    3. Xiaoli Wang & Yun Liu & Lingdi Chen & Yifan Zhang, 2022. "Correlation Monitoring Method and model of Science-Technology-Industry in the AI Field: A Case of the Neural Network," SAGE Open, , vol. 12(4), pages 21582440221, December.
    4. Li, Munan & Wang, Wenshu & Zhou, Keyu, 2021. "Exploring the technology emergence related to artificial intelligence: A perspective of coupling analyses," Technological Forecasting and Social Change, Elsevier, vol. 172(C).

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