Operating System Fingerprinting Using Machine Learning

Author:

Kumar Achintya,Soni Ishan,Anand Kumar M.

Publisher

Springer Nature Singapore

Reference18 articles.

1. Al-Shehari, Taher., Shahzad, Farrukh.: Improving operating system fingerprint- ing using machine learning techniques. Int. J. Comput. Theory. Eng. 6. King Fahd university of petroleum and minerals, Saudi Arabia

2. Song, Jinho., Cho, ChaeHo., Won, Yoojae.: Computers and Electrical Engineering 78. Chungnam National University, Korea (2019)

3. Anderson, Blake., McGrew, David.: OS Fingerprinting: New Techniques and a Study of Information Gain and Obfuscation:2017 IEEE Conference on Communica- tions and Network Security (CNS), Cisco Systems

4. Tyagi, R., Paul, T., Manoj Bs., Thanudas B.: Packet Inspection for Unauthorized OS Detection in Enterprises. IEEE Security Privacy. 13. 60–65 (2015)

5. Lippmann, R., Fried, D., Piwowarski, K., Streilein W.: Passive Operating System Identification from TCP/IP Packet Headers :IEEE Workshop on Data Mining for Computer Security (DMSEC), pp. 40–49 (2003)

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