Towards Large-Scale, Heterogeneous Anomaly Detection Systems in Industrial Networks: A Survey of Current Trends

المؤلفون المشاركون

Zurutuza, Urko
Uribeetxeberria, Roberto
Iturbe, Mikel
Garitano, Iñaki

المصدر

Security and Communication Networks

العدد

المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-17، 17ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2017-11-22

دولة النشر

مصر

عدد الصفحات

17

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص EN

Industrial Networks (INs) are widespread environments where heterogeneous devices collaborate to control and monitor physical processes.

Some of the controlled processes belong to Critical Infrastructures (CIs), and, as such, IN protection is an active research field.

Among different types of security solutions, IN Anomaly Detection Systems (ADSs) have received wide attention from the scientific community.

While INs have grown in size and in complexity, requiring the development of novel, Big Data solutions for data processing, IN ADSs have not evolved at the same pace.

In parallel, the development of Big Data frameworks such as Hadoop or Spark has led the way for applying Big Data Analytics to the field of cyber-security, mainly focusing on the Information Technology (IT) domain.

However, due to the particularities of INs, it is not feasible to directly apply IT security mechanisms in INs, as IN ADSs face unique characteristics.

In this work we introduce three main contributions.

First, we survey the area of Big Data ADSs that could be applicable to INs and compare the surveyed works.

Second, we develop a novel taxonomy to classify existing IN-based ADSs.

And, finally, we present a discussion of open problems in the field of Big Data ADSs for INs that can lead to further development.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Iturbe, Mikel& Garitano, Iñaki& Zurutuza, Urko& Uribeetxeberria, Roberto. 2017. Towards Large-Scale, Heterogeneous Anomaly Detection Systems in Industrial Networks: A Survey of Current Trends. Security and Communication Networks،Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1203210

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Iturbe, Mikel…[et al.]. Towards Large-Scale, Heterogeneous Anomaly Detection Systems in Industrial Networks: A Survey of Current Trends. Security and Communication Networks No. 2017 (2017), pp.1-17.
https://search.emarefa.net/detail/BIM-1203210

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Iturbe, Mikel& Garitano, Iñaki& Zurutuza, Urko& Uribeetxeberria, Roberto. Towards Large-Scale, Heterogeneous Anomaly Detection Systems in Industrial Networks: A Survey of Current Trends. Security and Communication Networks. 2017. Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1203210

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1203210