Application of Temperature Prediction Based on Neural Network in Intrusion Detection of IoT
المؤلفون المشاركون
Liu, Xuefei
Zhang, Chao
Liu, Pingzeng
Yan, Maoling
Wang, Baojia
Zhang, Jianyong
Higgs, Russell
المصدر
Security and Communication Networks
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-12-18
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
The security of network information in the Internet of Things faces enormous challenges.
The traditional security defense mechanism is passive and certain loopholes.
Intrusion detection can carry out network security monitoring and take corresponding measures actively.
The neural network-based intrusion detection technology has specific adaptive capabilities, which can adapt to complex network environments and provide high intrusion detection rate.
For the sake of solving the problem that the farmland Internet of Things is very vulnerable to invasion, we use a neural network to construct the farmland Internet of Things intrusion detection system to detect anomalous intrusion.
In this study, the temperature of the IoT acquisition system is taken as the research object.
It has divided which into different time granularities for feature analysis.
We provide the detection standard for the data training detection module by comparing the traditional ARIMA and neural network methods.
Its results show that the information on the temperature series is abundant.
In addition, the neural network can predict the temperature sequence of varying time granularities better and ensure a small prediction error.
It provides the testing standard for the construction of an intrusion detection system of the Internet of Things.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Xuefei& Zhang, Chao& Liu, Pingzeng& Yan, Maoling& Wang, Baojia& Zhang, Jianyong…[et al.]. 2018. Application of Temperature Prediction Based on Neural Network in Intrusion Detection of IoT. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1213902
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Xuefei…[et al.]. Application of Temperature Prediction Based on Neural Network in Intrusion Detection of IoT. Security and Communication Networks No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1213902
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Xuefei& Zhang, Chao& Liu, Pingzeng& Yan, Maoling& Wang, Baojia& Zhang, Jianyong…[et al.]. Application of Temperature Prediction Based on Neural Network in Intrusion Detection of IoT. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1213902
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1213902
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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