Object-Oriented Big Data Security Analytics: A Case Study on Home Network Traffic

摘要: Securing and managing home networks has recently become an increasingly challenging task due to the rapid growth of devices, applications traffic in these networks. This paper presents a novel object-oriented big data security analytics for making sense collection from We extract source IP addresses unwanted towards real as objects interest, subsequently characterize with heterogeneous streaming sources including intrusion detection logs provided distributed firewalls, Internet routing table snapshots BGP routers, active probing results open DNS resolver scanning, IP-to-geographical mapping database. Our preliminary have revealed number important findings correlations on interests diverse massive data-sets. To best our knowledge, this position is first effort introduce perspective perform network traffic.