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Predictive Abuse Detection for a PLC Smart Lighting Network Based on Automatically Created Models of Exponential Smoothing
المؤلفون المشاركون
Andrysiak, Tomasz
Saganowski, Łukasz
Kiedrowski, Piotr
المصدر
Security and Communication Networks
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-19، 19ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-10-25
دولة النشر
مصر
عدد الصفحات
19
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
One of the basic elements of a Smart City is the urban infrastructure management system, in particular, systems of intelligent street lighting control.
However, for their reliable operation, they require special care for the safety of their critical communication infrastructure.
This article presents solutions for the detection of different kinds of abuses in network traffic of Smart Lighting infrastructure, realized by Power Line Communication technology.
Both the structure of the examined Smart Lighting network and its elements are described.
The article discusses the key security problems which have a direct impact on the correct performance of the Smart Lighting critical infrastructure.
In order to detect an anomaly/attack, we proposed the usage of a statistical model to obtain forecasting intervals.
Then, we calculated the value of the differences between the forecast in the estimated traffic model and its real variability so as to detect abnormal behavior (which may be symptomatic of an abuse attempt).
Due to the possibility of appearance of significant fluctuations in the real network traffic, we proposed a procedure of statistical models update which is based on the criterion of interquartile spacing.
The results obtained during the experiments confirmed the effectiveness of the presented misuse detection method.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Andrysiak, Tomasz& Saganowski, Łukasz& Kiedrowski, Piotr. 2017. Predictive Abuse Detection for a PLC Smart Lighting Network Based on Automatically Created Models of Exponential Smoothing. Security and Communication Networks،Vol. 2017, no. 2017, pp.1-19.
https://search.emarefa.net/detail/BIM-1203145
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Andrysiak, Tomasz…[et al.]. Predictive Abuse Detection for a PLC Smart Lighting Network Based on Automatically Created Models of Exponential Smoothing. Security and Communication Networks No. 2017 (2017), pp.1-19.
https://search.emarefa.net/detail/BIM-1203145
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Andrysiak, Tomasz& Saganowski, Łukasz& Kiedrowski, Piotr. Predictive Abuse Detection for a PLC Smart Lighting Network Based on Automatically Created Models of Exponential Smoothing. Security and Communication Networks. 2017. Vol. 2017, no. 2017, pp.1-19.
https://search.emarefa.net/detail/BIM-1203145
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1203145
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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