Fuzz testing data generation for network protocol using classification tree

2014 ◽  
Author(s):  
Rui Ma ◽  
Changzhen Hu ◽  
Chun Shan ◽  
Wu Peng ◽  
Wendong Ji
Keyword(s):  
Classification Tree ◽  
Network Protocol ◽  
Data Generation ◽  
Fuzz Testing ◽  
Testing Data

Synthetic Data Generation Capabilties for Testing Data Mining Tools

MILCOM 2006 ◽  
2006 ◽  
Author(s):  
Daniel Jeske ◽  
Pengyue Lin ◽  
Carlos Rendon ◽  
Rui Xiao ◽  
Behrokh Samadi
Keyword(s):  
Data Mining ◽  
Synthetic Data ◽  
Data Generation ◽  
Synthetic Data Generation ◽  
Testing Data ◽  
Mining Tools

scholarly journals Statistical testing data generation for UAS

2020 ◽  
Vol 715 ◽  
pp. 012026
Author(s):  
Jianwei Sui ◽  
Yunzhan Gong ◽  
Dahai Jin ◽  
Yawen Wang
Keyword(s):  
Statistical Testing ◽  
Data Generation ◽  
Testing Data

An Automatic Network Protocol Fuzz Testing and Vulnerability Discovering Method

2011 ◽  
Vol 34 (2) ◽  
pp. 242-255 ◽  
Author(s):  
Wei-Ming LI ◽  
Ai-Fang ZHANG ◽  
Jian-Cai LIU ◽  
Zhi-Tang LI
Keyword(s):  
Network Protocol ◽  
Fuzz Testing

Network protocol fuzz testing for information systems and applications: a survey and taxonomy

2015 ◽  
Vol 75 (22) ◽  
pp. 14745-14757 ◽  
Author(s):  
Tewodros Legesse Munea ◽  
Hyunwoo Lim ◽  
Taeshik Shon
Keyword(s):  
Information Systems ◽  
Network Protocol ◽  
Fuzz Testing

Improve Peach: Making Network Protocol Fuzz Testing more Precisely

2014 ◽  
Vol 551 ◽  
pp. 642-647 ◽  
Author(s):  
Hua Zhang ◽  
Zhao Zhang ◽  
Wen Tang
Keyword(s):  
Network Security ◽  
Network Protocol ◽  
Test Case ◽  
Test Cases ◽  
Test Scenario ◽  
Test Protocol ◽  
The Core ◽  
Software Debugging ◽  
Fuzz Testing ◽  
Indispensable Tool

Peach is an indispensable tool for network security experts, but, it is not perfect in the coarse controlling granularity. This paper analyzes the core code of Peach and makes improvements of Peach in three aspects: 1) applying different Mutators to test different fields in PDU; 2) starting a fuzz test at any test case according to a config.xml file; 3) executing the specified number of test cases in each test. These contributions make fuzz testing like software debugging, and locate a network protocol implementation's bug triggered by which test case more precisely with less time and less test cases than ever before. This paper also adds a replaying test scenario to Peach based on our contributions. Experimental results demonstrate that the features this paper improved to Peach could save lots of time with lower costs when applying Peach to test protocol implementations.

scholarly journals Semi-valid fuzz testing case generation for stateful network protocol

2017 ◽  
Vol 22 (5) ◽  
pp. 458-468
Author(s):  
Rui Ma ◽  
Shuaimin Ren ◽  
Ke Ma ◽  
Changzhen Hu ◽  
Jingfeng Xue
Keyword(s):  
Network Protocol ◽  
Fuzz Testing ◽  
Testing Case
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