Open Access
ARTICLE
The Research of Address Message of an Unknown Single Protocol Data Frame
Zheng Jiea,b, Li Jianpinga
a School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China;
b Chongqing College of Electronic Engineering, Chongqing College Town, Chongqing, China
* Corresponding Author: Zheng Jie,
Intelligent Automation & Soft Computing 2018, 24(1), 139-144. https://doi.org/10.1080/10798587.2016.1267445
Abstract
Network protocols are sets of standards for certain network communications. The identification and
analysis of network protocol are of significance to network management and security. There are
various technologies of protocol identification, but in the process of identification protocols, in order
to simplify the identification process and improve the efficiency of protocol identification, unknown
mixed multi-protocol needs to be separated into single protocol so as to make further identification.
This paper presents an efficient method to determine the single protocol address message based
on the previous research of separating unknown mixed data frame into single protocol. By this way,
the data frames of single protocol are split into point-to-point data frame according to the address;
consequently, the final identification of unknown protocol can be realized. Moreover, the method was
evaluated by analysis of the ARP and TCP data; this method is able to find the more than 2/3 of address
information.
Keywords
Cite This Article
APA Style
Jie, Z., Jianping, L. (2018). The research of address message of an unknown single protocol data frame. Intelligent Automation & Soft Computing, 24(1), 139-144. https://doi.org/10.1080/10798587.2016.1267445
Vancouver Style
Jie Z, Jianping L. The research of address message of an unknown single protocol data frame. Intell Automat Soft Comput . 2018;24(1):139-144 https://doi.org/10.1080/10798587.2016.1267445
IEEE Style
Z. Jie and L. Jianping, "The Research of Address Message of an Unknown Single Protocol Data Frame," Intell. Automat. Soft Comput. , vol. 24, no. 1, pp. 139-144. 2018. https://doi.org/10.1080/10798587.2016.1267445