Malware classification is a difficult problem, to which machine learning methods have been
applied for decades. Yet progress has often been slow, in part due to a number of unique …

针对现有研究对文献主题发现和演化分析方法的单一性, 本文提出了基于时间序列聚类的主题
发现与演化分析方法. 该方法首先通过共词分析找出文献数据集中高频关键词的共现矩阵 …

In the present paper we describe a new, updated and refined dataset specifically tailored to
train and evaluate machine learning based malware traffic analysis algorithms. To generate …

We report about a HTTP botnet detection strategy based on a behavioral analysis of raw
traffic data with the aim at minimizing resources necessary for the detection. It involves the …

Self-propagating malware has been infecting thousands of IoT devices and causing security
breaches worldwide. Mitigating and cleaning self-propagating malware is important but …

A new approach for the botnet detection based on multi-agent system is proposed. For
increasing of the efficiency of botnet detection the multi-agent system was involved that …

Virtualization started to gain traction in the domain of information technology in the early
2000s when managing resource distribution was becoming an uphill task for developers. As …

Authentication forms the gateway to any secure system. Together with integrity,
confidentiality and authorization it helps in preventing any sort of intrusions into the system …

动态时间弯曲是一种重要的相似性度量方法, 对时间序列数据挖掘的性能起着至为关键的作用,
对其进行全面和深入的探索具有十分重要的理论意义和实际应用价值. 首先简述动态时间弯曲 …

Recently, Cloud computing is most powerful research area because of its flexibility and cost
efficiency. The environment provides dynamic, easily scalable services. Although cloud …