دانلود رایگان مقاله استنتاج زمینه پروتکل اتوماتیک

عنوان فارسی
استنتاج زمینه پروتکل اتوماتیک
عنوان انگلیسی
Towards automatic protocol field inference
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
12
سال انتشار
2016
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E670
رشته های مرتبط با این مقاله
مهندسی کامپیوتر و مهندسی فناوری اطلاعات و مهندسی فناوری اطلاعات و ارتباطات
گرایش های مرتبط با این مقاله
شبکه های کامپیوتری، اینترنت و شبکه های گسترده
مجله
ارتباطات کامپیوتر - Computer Communications
دانشگاه
امریکا
کلمات کلیدی
پروتکل مهندسی معکوس، شبکه ICS / SCADA، محموله تشخیص ناهنجاری بر اساس
چکیده

Abstract


Security tools have evolved dramatically in the recent years to combat the increasingly complex nature of attacks. However, these tools need to be configured by experts that understand network protocols thoroughly to be effective. In this paper, we present a system called FieldHunter, which automatically extracts fields and infers their types. This information is invaluable for security experts to keep pace with the increasing rate of development of new network applications and their underlying protocols. FieldHunter relies on collecting application messages from multiple sessions. Then, it performs field extraction and inference of their types by taking into consideration statistical correlations between different messages or other associations with meta-data such as message length, client or server IP addresses. We evaluated FieldHunter on real network traffic collected in ISP networks from three different continents. FieldHunter was able to extract security relevant fields and infer their types for well documented network protocols (such as DNS and MSNP) as well as protocols for which the specifications are not publicly available (such as SopCast). Further, we developed a payload-based anomaly detection system for industrial control systems using FieldHunter. The proposed system is able to identify industrial devices behaving oddly, without any previous knowledge of the protocols being used.

نتیجه گیری

8. Conclusions


In this paper, we presented FieldHunter, a system that auto- matically infers protocol field types from passive observation of network traffic. We showed that FieldHunter is able to provide a comprehensive set of fields and their types for both textual and binary protocols that may not have a publicly available specifica- tion. Therefore, we believe that a system such as FieldHunter can significantly improve the effectiveness of modern network security tools. Finally, we extended FieldHunter and built a payload-based anomaly detection system on top of it. FieldHunter provides valu- able information about network protocol specification, allowing it to detect realistic zero-day attacks on ICS network. Our anomaly detection system can detect stealthy attacks in ICS systems with un-documented protocols that current statistical-based or tradi- tional payload-based anomaly detection systems cannot.


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