所属单位：计算机科学与技术学院/人工智能学院/软件学院
发表刊物：Proc. - IEEE Int. Conf. Big Data Secur. Cloud, BigDataSecurity, IEEE Int. Conf. High Perform. Smart Comput., HPSC IEEE Int. Conf. Intell. Data Secur., IDS
摘要：Hadoop is a very popular big data processing framework, however, due to its distributed and large-scale characteristics, its security problems have not been solved very well. Existing research does not systematically analyze attacks in big data platforms. This paper proposes four innovative hadoop attack models. Through adjusting heartbeat time, tampering intermediate data, blocking network, attackers prolong the execution time of jobs, and damage the correctness of job result. We implemented these attacks in hadoop and evaluate the effects of them through experiments. The experimental results show that our attacks are effective and harmful. © 2019 IEEE.
是否译文：否
发表时间：2019-05-01
合写作者：Li, Ningwei,刘亮,Zhang, Fan,张方华,Wang, Wenxuan
通讯作者：高航
发表时间：2019-05-01