کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4950455 1440644 2017 20 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
MP-MID: Multi-Protocol Oriented Middleware-level Intrusion Detection method for wireless sensor networks
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
MP-MID: Multi-Protocol Oriented Middleware-level Intrusion Detection method for wireless sensor networks
چکیده انگلیسی
It is very difficult to detect intrusions in wireless sensor networks (WSN), because of its dynamic network topology and diverse routing protocols. Traditional Intrusion Detection Systems (IDS) for WSN only focus attention on some one routing protocol, which lacks universality and flexibility. To solve the problem of multi-protocol intrusion detection, this paper proposes a universal method: MP-MID (Multi-Protocol Oriented Middleware-level Intrusion Detection). Our work can generate all known attack types for any routing protocol of WSN, and furthermore, all of them can be detected with the automatically generated rules. In this work, we formalize the routing protocol with the Process Algebra for Wireless Mesh Networks (AWN) language, and propose the conception of attack points to find out all attack types. Combining attack points with formalized protocol in AWN, we get co-sentences which represent the attack features in the protocol. With program slicing technology, all known attack types can be found out based on co-sentences. According to the characteristic of the key variables of the attack types, MP-MID can generate misused based detection or anomaly based detection. Our case study of ADOV (Ad hoc On-demand Distance Vector) protocol shows that our method generated all types of attacks, which outperforms other work. Experimental results show that our generated detection methods have a relatively high detection accuracy rate as we claimed. Our MP-MID method could be used as a flexible and universal tool to analyze and detect attack types for multi-protocol in WSN effectively.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Future Generation Computer Systems - Volume 70, May 2017, Pages 42-47
نویسندگان
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