A novel feature-based framework enabling multi-type DDoS attacks detection
نویسندگان
چکیده
Abstract Distributed Denial of Service (DDoS) attacks are among the most severe threats in cyberspace. The existing methods only designed to decide whether certain types DDoS ongoing. As a result, they cannot detect other attacks, not mention even more challenging mixed attacks. In this paper, we comprehensively analyzed characteristics various and innovatively proposed five new features from heterogeneous packets including entropy rate IP source flow, packet size, number ICMP destination unreachable but also mixture them. experimental results show that fives ranked at top compared with common terms effectiveness. Besides, by using these features, our framework outperforms when detecting detection accuracy improvements over between 21% 53%.
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ژورنال
عنوان ژورنال: World Wide Web
سال: 2022
ISSN: ['1573-1413', '1386-145X']
DOI: https://doi.org/10.1007/s11280-022-01040-3