Title :
Remote Operation System Detection Base on Machine Learning
Author :
Zhang, Bofeng ; Zou, Tiezheng ; Wang, Yongjun ; Zhang, Baokang
Author_Institution :
Comput. Sch., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
A machine learning method for remote operation system recognition through their detection signatures with support vector machine (SNM) is proposed. A vector space model of Nmap fingerprint database and techniques for translating the host responses to SVM input vectors are also suggested. Experimental result on identification of signatures in the fingerprint database of Nmap 4.90RC1 but not known for Nmap 4.76 show that our method is effective in the discovery of new signatures not included in current fingerprint database.
Keywords :
digital signatures; learning (artificial intelligence); operating systems (computers); support vector machines; Nmap 4.76; Nmap 4.90RC1; Nmap fingerprint database; SVM input vectors; detection signatures; machine learning; remote operation system detection; signature identification; support vector machine; vector space model; Computer science; Databases; Educational institutions; Fingerprint recognition; Learning systems; Machine learning; Protocols; Space technology; Support vector machine classification; Support vector machines; OS detection; OS fingerprint; machine learning; support vector machine;
Conference_Titel :
Frontier of Computer Science and Technology, 2009. FCST '09. Fourth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3932-4
Electronic_ISBN :
978-1-4244-5467-9
DOI :
10.1109/FCST.2009.21
