首页>
外文期刊>Network Daily News
>Study Data from University of Electronic Science and Technology of China Provide New Insights into Networks (Identity-based Attack Detection and Classification Utilizing Reciprocal Rss Variations In Mobile Wireless Networks)
【24h】
Study Data from University of Electronic Science and Technology of China Provide New Insights into Networks (Identity-based Attack Detection and Classification Utilizing Reciprocal Rss Variations In Mobile Wireless Networks)
By a News Reporter-Staff News Editor at Network Daily News – Investigators publish new report on Networks. According to news reporting originating from Chengdu, People’s Republic of China, by NewsRx correspondents, research stated, “Identity-based attacks (IBAs) are one of the most serious threats to wireless networks. Recently, there is an increasing interest in using the received signal strength (RSS) to detect IBAs in wireless networks.”
展开▼