中圖分類(lèi)號(hào)： TP393.0 文獻(xiàn)標(biāo)識(shí)碼： A DOI： 10.19358/j.issn.2097-1788.2022.05.001 引用格式： 邵磊,，余曉，吳劍章. 網(wǎng)絡(luò)資產(chǎn)探測(cè)關(guān)鍵技術(shù)研究[J].網(wǎng)絡(luò)安全與數(shù)據(jù)治理,，2022,，41(5)：3-9，35.
Research on method of network assets detection
Shao Lei1,，Yu Xiao2,，Wu Jianzhang1
(1.School of Cyber Science and Engineering，Southeast University,，Nanjing 210096,，China； 2.School of Continuing Education,，Southeast University,，Nanjing 210096，China)
Abstract： Network asset detection refers to the detection of hardware and software connected with network, which can lay a solid foundation for the full lifecycle management of network assets in enterprises, schools, etc. Combined with asset identification and vulnerability management, it can effectively trace the status of each asset and make up for vulnerabilities in time to avoid economic losses. From the perspective of technologies related to network asset detection, the technologies are classified as scanning technology, performance optimization technology, stealthy scanning technology and machine learning technology. Firstly, the challenges faced by current technologies are elaborated. Secondly, the principles, advantages and disadvantages of these technologies are analyzed. Finally, the future research directions are summarized.
Key words : network asset detection,；operating system identification,；traffic analysis；search engine,；machine learning
