INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Wireless security is a genuine obstacle for network managers as well as details security managers identical. Unlike the wired Ethernet LANs, 802.11-based wireless LANs broadcast radio-frequency (RF) data for the client terminals to listen to. As a result, anybody with the right tools can quickly grab as well as transfer wireless signals if he is actually within an assortment. In other to prevent unapproved use danger positioned through unprotected wireless access places, Wired Matching Privacy - a low-level records encryption body-- was designed for wireless security objectives. This paper provides risk analysis of putting attacks into perspective and conducts a vulnerability assessment.
Keywords:
vulnerabilities, wlan, wireless networks
Cite Article:
"ANALYZING THE EXISTING RECOGNIZED IEEE 802.11 WIRELESS LAN VULNERABILITIES USING MACHINE LEARNING", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 5, page no.1519-1527, May-2022, Available :http://www.ijnrd.org/papers/IJNRD2205199.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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