TY - GEN
T1 - Research of recognition system of web intrusion detection based on storm
AU - Bo, Li
AU - Jinzhen, Wang
AU - Ping, Zhao
AU - Zhongjiang, Yan
AU - Mao, Yang
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/12/17
Y1 - 2016/12/17
N2 - Based on Storm, a distributed, reliable, fault-tolerant real-time data stream processing system, we propose a recognition system of web intrusion detection. The system is based on machine learning, feature selection algorithm by TF-IDF(Term Frequency Inverse Document Frequency) and the optimised cosine similarity algorithm, at low false positive rate and a higher detection rate of attacks and malicious behavior in real-time to protect the security of user data. From comparative analysis of experiments we find that the system for intrusion recognition rate and false positive rate has improved to some extent, it can be better to complete the intrusion detection work.
AB - Based on Storm, a distributed, reliable, fault-tolerant real-time data stream processing system, we propose a recognition system of web intrusion detection. The system is based on machine learning, feature selection algorithm by TF-IDF(Term Frequency Inverse Document Frequency) and the optimised cosine similarity algorithm, at low false positive rate and a higher detection rate of attacks and malicious behavior in real-time to protect the security of user data. From comparative analysis of experiments we find that the system for intrusion recognition rate and false positive rate has improved to some extent, it can be better to complete the intrusion detection work.
KW - Big Data
KW - Cosine similarity
KW - Strom
KW - TF-IDF
KW - Web Intrusion Detection System
UR - https://www.scopus.com/pages/publications/85018297050
U2 - 10.1145/3033288.3033319
DO - 10.1145/3033288.3033319
M3 - 会议稿件
AN - SCOPUS:85018297050
T3 - ACM International Conference Proceeding Series
SP - 98
EP - 102
BT - Proceedings of 2016 5th International Conference on Network, Communication and Computing, ICNCC 2016
PB - Association for Computing Machinery
T2 - 5th International Conference on Network, Communication and Computing, ICNCC 2016
Y2 - 17 December 2016 through 21 December 2016
ER -