摘要
伴随着电力大数据的广泛应用,传统的信息安全防护体系面临着新的挑战,为了给电力企业提供应对大数据的信息安全解决方案,文章通过运用数据挖掘的关联分析、序列分析方法,异常检测与假设检验方式,探讨电力大数据信息安全分析技术的可行性,为电力大数据信息安全事件预警与防护提供技术支持。
With the extensive applications of power big data, the traditional information security protection system is confronted with new challenges. To provide power enterprises a security solution for big data information, this paper discussed on the feasibility of power big data information security analysis technology by using correlation analysis and sequence analysis method of data mining, anomaly detection and hypothesis testing. The results can provide technical support for power big data information security incident warning and protection.
出处
《电力信息与通信技术》
2015年第9期128-132,共5页
Electric Power Information and Communication Technology
