文章基本信息

标题：A FUZZY-BASED BUFFER SPLIT ALGORITHM FOR BUFFER ATTACK DETECTION IN INTERNET OF THINGS
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作者：MUSHTAQ MOHAMMED ABDULNABI ; ROSILAH HASSAN ; NOR EFFENDY OTHMAN 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2018
卷号：96
期号：17
出版社：Journal of Theoretical and Applied
摘要：Internet of Things (IoT) process technology is a rapidly emerging technology with great benefits for the pool of individuals, homes, companies and other institutions in general. This technology is used to connect everyday devices to the network to enable additional features such as remote control and access to data, But the network is exposed to several attacks, the most important attacks that cause the problem of overload is event-based attack, Smart stretched attack on the buffer one of the most important attacks on the network, in this research we propose a new algorithm called a Fuzzy Buffer Split (FBS) to defend against these two types of buffer attacks.
关键词：IoT; Buffer Reservation Attacks; Overflow; Fuzzy System; Algorithm