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An Artificial Intelligence Approach to Financial Fraud Detection under IoT Environment: A Survey and Implementation
المؤلفون المشاركون
المصدر
Security and Communication Networks
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-09-25
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Financial fraud under IoT environment refers to the unauthorized use of mobile transaction using mobile platform through identity theft or credit card stealing to obtain money fraudulently.
Financial fraud under IoT environment is the fast-growing issue through the emergence of smartphone and online transition services.
In the real world, a highly accurate process of financial fraud detection under IoT environment is needed since financial fraud causes financial loss.
Therefore, we have surveyed financial fraud methods using machine learning and deep learning methodology, mainly from 2016 to 2018, and proposed a process for accurate fraud detection based on the advantages and limitations of each research.
Moreover, our approach proposed the overall process of detecting financial fraud based on machine learning and compared with artificial neural networks approach to detect fraud and process large amounts of financial data.
To detect financial fraud and process large amounts of financial data, our proposed process includes feature selection, sampling, and applying supervised and unsupervised algorithms.
The final model was validated by the actual financial transaction data occurring in Korea, 2015.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Choi, Dahee& Lee, Kyungho. 2018. An Artificial Intelligence Approach to Financial Fraud Detection under IoT Environment: A Survey and Implementation. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1214217
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Choi, Dahee& Lee, Kyungho. An Artificial Intelligence Approach to Financial Fraud Detection under IoT Environment: A Survey and Implementation. Security and Communication Networks No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1214217
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Choi, Dahee& Lee, Kyungho. An Artificial Intelligence Approach to Financial Fraud Detection under IoT Environment: A Survey and Implementation. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1214217
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1214217
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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