Identification of ICS Security Risks toward the Analysis of Packet Interaction Characteristics Using State Sequence Matching Based on SF-FSM
المؤلفون المشاركون
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
2017-04-13
دولة النشر
مصر
عدد الصفحات
17
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
This paper discusses two aspects of major risks related to the cyber security of an industrial control system (ICS), including the exploitation of the vulnerabilities of legitimate communication parties and the features abused by unauthorized parties.
We propose a novel framework for exposing the above two types of risks.
A state fusion finite state machine (SF-FSM) model is defined to describe multiple request-response packet pair sequence signatures of various applications using the same protocol.
An inverted index of keywords in an industrial protocol is also proposed to accomplish fast state sequence matching.
Then we put forward the concept of scenario reconstruction, using state sequence matching based on SF-FSM, to present the known vulnerabilities corresponding to applications of a specific type and version by identifying the packet interaction characteristics from the data flow in the supervisory control layer network.
We also implement an anomaly detection approach to identifying illegal access using state sequence matching based on SF-FSM.
An anomaly is asserted if none of the state sequence signatures in the SF-FSM is matched with a packet flow.
Ultimately, an example based on industrial protocols is demonstrated by a prototype system to validate the methods of scenario reconstruction and anomaly detection.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xu, Jianxin& Feng, Dongqin. 2017. Identification of ICS Security Risks toward the Analysis of Packet Interaction Characteristics Using State Sequence Matching Based on SF-FSM. Security and Communication Networks،Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1202816
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xu, Jianxin& Feng, Dongqin. Identification of ICS Security Risks toward the Analysis of Packet Interaction Characteristics Using State Sequence Matching Based on SF-FSM. Security and Communication Networks No. 2017 (2017), pp.1-17.
https://search.emarefa.net/detail/BIM-1202816
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xu, Jianxin& Feng, Dongqin. Identification of ICS Security Risks toward the Analysis of Packet Interaction Characteristics Using State Sequence Matching Based on SF-FSM. Security and Communication Networks. 2017. Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1202816
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1202816
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