DİJİTAL ÇAĞDA NESNELERİN İNTERNETİ VE YAPAY ZEKA TEKNOLOJİLERİNİN SUNDUĞU FIRSATLAR VE TEHDİTLER

Author :  

Year-Number: 2021-34
Language : null
Konu :
Number of pages: 768-774
Mendeley EndNote Alıntı Yap

Abstract

Otonom makinelerin ve yapay zeka uygulamalarının hızla büyüdüğü günümüzde sosyal yaşamı ve kamusal alanı etkileyen teknoloji tabanlı dijital toplumda yaşanmaya başlanmıştır. Aynı zamanda yapay zeka teknolojileriyle birlikte nesnelerin interneti teknolojisi hayatın her noktasını istenilen zaman ve yerde sensörler ve diğer araçlar aracılığıyla yeni kullanım alanlarına dahil olmasını sağlamaktadır. Nesnelerin İnterneti (IoT) çağında, milyarlarca sensör ve cihaz, ortamdan veri toplamakta ve işlemektedir. Aynı zamanda bunları bulut merkezlerine iletmekte, bağlantı ve algı için internet üzerinden geri bildirim almaktadır. Ancak, büyük miktarda heterojen veriyi iletmek, bu verilerden karmaşık ortamları algılamak ve ardından zamanında akıllı kararlar vermek oldukça zordur. Yapay zeka (AI), özellikle derin öğrenme, artık bilgisayarla görme, konuşma tanıma ve doğal dil işleme dahil olmak üzere çeşitli alanlarda kanıtlanmış bir başarıdır. Nesnelerin internetine tanıtılan yapay zeka çok daha ötesini nesnelerin yapay zeka çağını müjdelemektedir. Diğer birçok teknoloji gibi, nesnelerin interneti ve yapay zeka teknolojilerinin sağladığı fırsat ve yararlarla birlikte güvenlik ve gizlilik yönünden bir takım tehditler ortaya çıkmaktadır. Bu çalışmada hedeflenen nesnelerin interneti ve yapay zeka teknolojilerinin sunduğu fırsatlarla birlikte ortaya çıkabilecek tehditlere yönelik kavramsal bir inceleme yapılarak literatüre katkı sağlamaktır.

Keywords

Abstract

Today, where autonomous machines and artificial intelligence applications are growing rapidly, it has begun to be experienced in a technology-based digital society that affects social life and public space. At the same time, together with artificial intelligence technologies, the internet of things technology enables every point of life to be included in new areas of use at any time and place through sensors and other tools. In the Internet of Things (IoT) era, billions of sensors and devices collect and process data from the environment. At the same time, it transmits them to cloud centers and receives feedback over the internet for connection and perception. However, it is difficult to transmit large amounts of heterogeneous data, detect complex environments from this data, and then make timely intelligent decisions. Artificial intelligence (AI) is a proven success in a variety of fields, particularly deep learning, now computer vision, speech recognition, and natural language processing. Artificial intelligence introduced to the internet of things heralds the age of artificial intelligence of objects far beyond. Like many other technologies, along with the opportunities and benefits provided by the Internet of Things and artificial intelligence technologies, some threats to security and privacy arise. The aim of this study is to contribute to the literature by making a conceptual analysis of the threats that may arise with the opportunities offered by the Internet of Things and artificial intelligence technologies.

Keywords


  • Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of things: A

  • Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of things: Asurvey on enabling technologies, protocols, and applications. IEEE communications surveys & tutorials, 17(4), 2347-2376.

  • Bédard, M. (2016). The underestimated economic benefits of the internet. Montreal: Montreal Economic Institute.

  • Balcı, Y. (2021). Nesnelerin İnterneti Ekosisteminde Yapay Zeka Destekli Saldırı Tespit Sistemi. MillîSavunma Üniversitesi, Hezârfen Havacılık ve Uzay Teknolojileri Enstitüsü, Yükseklisans Tezi, İstanbul.

  • Buhalis, D., & Leung, R. (2018). Smart hospitality-Interconnectivity and interoperability towards an ecosystem. International Journal of Hospitality Management, 71, 41-50.

  • Campbell, J. P., Gensure, R. H. ve Chiang, M. F. (2020). Artificial intelligence for retinopathy of prematurity. Current opinion in ophthalmology, 31(5), 312.

  • Fu, G., Xie, X., Xue, Y., Zhao, Z., Chen, P., Lu, B., & Jiang, S. (2019). Risk prediction and factors riskanalysis based on IFOA-GRNN and apriori algorithms: Application of artificial intelligence in accident prevention. Process Safety and Environmental Protection, 122, 169-184.

  • Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., ... & Williams, M. D. (2019).Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 101994.

  • Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era ofBig Data–evolution, challenges and research agenda. International Journal of Information Management, 48, 63-71.

  • Efe, A. (2021). Yapay Zekâ Risklerinin Etik Yönünden Değerlendirilmesi. Bilgi ve İletişim Teknolojileri Dergisi, 3(1), 1-24.

  • Erdem, Ö. (2015). HoneyThing: Nesnelerin interneti için tuzak sistem. Yüksek Lisans Tezi. İstanbul Şehir Üniversitesi.

  • Gökrem, L., ve Bozuklu, M. (2016), Nesnelerin İnterneti: Yapılan Çalışmalar ve Ülkemizdeki MevcutDurum. Gaziosmanpaşa Üniversitesi, Fen Bilimleri Enstitüsü, Gaziosmanpaşa Bilimsel Araştırmalar Dergisi, Sayı: 13, Yıl: 2016, Sayfa: 47-68, ISSN: 2146-8168.

  • Igbinovia, M.O. (2021), "Internet of things in libraries and focus on its adoption in developing countries", Library Hi Tech News, Vol. ahead-of-print No. ahead-of-print.

  • King, D., Kelly, C. J., Karthikesalingam, A., Suleyman, M. ve Corrado, G. (2019). Key challenges for delivering clinical impact with artificial intelligence. BMC medicine, 17(1), 1-9.

  • Lam, T. T., Zappone, A., Di Renzo, M., Debbah, M., ve Qian, X. (2019). Model-aided wireless artificialintelligence: Embedding expert knowledge in deep neural networks for wireless system optimization. IEEE Vehicular Technology Magazine, 14(3), 60-69.

  • Lohr, S. (2013). Big data, trying to build better workers. The New York Times, 21.

  • Lu, Y. and Xu, L. (2018), “Internet of Things (IoT) cybersecurity research: a review of current researchtopics”, IEEE Internet of Things Journal, Vol. 5 No. 2, pp. 2103-2115, doi: 10.1109/JIOT.2018.2869847.

  • Manyika, J., Lund, S., Bughin, J., Woetzel, J., Stamenov, K., and Dhingra, D. 2016. Digital globalization: The new era of global flows. McKinsey Global Institute Report, February 2016.

  • Mason, A. P., Blasch, E., Sung, J., Nguyen, T. ve Daniel, C. P. (2019). Artificial intelligence strategies for national security and safety standards. arXiv preprint arXiv:1911.05727.

  • McCarthy, J. J., Minsky, M. L., ve Rochester, N. (1959). Artificial intelligence. Research Laboratory of Electronics (RLE) at the Massachusetts Institute of Technology.

  • Nishant, R., Kennedy, M., & Corbett, J. (2020). Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda. International Journal of Information Management, 53, 102104.

  • Russell, S. J., ve Norvig, P. (2016). "Artificial intelligence: a modern approach. Malaysia." (3rd ed.), Pearson Education Limited, Upper Saddle River.

  • Schoech, D., Jennings, H., Schkade, L. L., & Hooper-Russell, C. (1985). Expert systems: Artificial intelligence for professional decisions. Computers in Human Services, 1(1), 81-115.

  • Scherer, M. U. (2016). Regulating artificial intelligence systems: risks, challenges, competencies, and strategies. Harvard J. Law Technol. 29, 1–48. doi: 10.2139/ssrn.2609777

  • Shrivastava, S., & Chaturvedi, K. T. (2018, May). A Review of Artificial Intelligence Techniques for ShortTerm Electric Load Forecasting. In International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (Vol. 7, No. 5, pp. 2241-2247).

  • West, D. M., & Allen, J. R. (2018). How artificial intelligence is transforming the world. Report. April, 24.

  • Xia, F., Yang, L.T., Wang, L. and Vinel, A. (2012), “Internet of things”, International Journal of Communication Systems, Vol. 25 No. 9, pp. 1101-1102.

  • Xu, L. (2016), “An Internet-of-Things initiative for One Belt One Road (OBOR)”, Frontiers of Engineering Management, Vol. 3 No. 3, pp. 206-223.

  • Xu, L., Xu, E. and Li, L. (2018), “Industry 4.0: state of the art and future trends”, International Journal of Production Research, Vol. 56 No. 8, pp. 2941-2962.

  • Yang, Y., & Siau, K. L. (2018). A qualitative research on marketing and sales in the artificial intelligence age. Midwest United States Association for Information Systems (MWAIS) 2018 proceedings.

  • Yu, G., & Schwartz, Z. (2006). Forecasting short time-series tourism demand with artificial intelligence models. Journal of travel Research, 45(2), 194-203.

                                                                                                                                                                                                        
  • Article Statistics