TY - GEN
T1 - Object-oriented big data security analytics
T2 - 9th International Conference on Wireless Algorithms, Systems and Applications, WASA 2014
AU - Xu, Kuai
AU - Wang, Feng
AU - Egli, Richard
AU - Fives, Aaron
AU - Howell, Russell
AU - McIntyre, Odayne
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2014.
PY - 2014
Y1 - 2014
N2 - Securing and managing home networks has recently become an increasingly challenging task due to the rapid growth of devices, applications and traffic in these networks. This paper presents a novel object-oriented big data security analytics for making sense of traffic data collection from home networks. We extract the source IP addresses from unwanted traffic towards real home networks as objects of interest, and subsequently characterize these objects with heterogeneous and streaming data sources including intrusion detection logs provided from distributed firewalls, Internet routing table snapshots from BGP routers, active probing results from open DNS resolver scanning, and IP-togeographical mapping database. Our preliminary results have revealed a number of important findings and correlations on the objects of interests from these diverse and massive data-sets. To the best of our knowledge, this position paper is the first effort to introduce object-oriented perspective to perform security analytics on home network traffic.
AB - Securing and managing home networks has recently become an increasingly challenging task due to the rapid growth of devices, applications and traffic in these networks. This paper presents a novel object-oriented big data security analytics for making sense of traffic data collection from home networks. We extract the source IP addresses from unwanted traffic towards real home networks as objects of interest, and subsequently characterize these objects with heterogeneous and streaming data sources including intrusion detection logs provided from distributed firewalls, Internet routing table snapshots from BGP routers, active probing results from open DNS resolver scanning, and IP-togeographical mapping database. Our preliminary results have revealed a number of important findings and correlations on the objects of interests from these diverse and massive data-sets. To the best of our knowledge, this position paper is the first effort to introduce object-oriented perspective to perform security analytics on home network traffic.
UR - http://www.scopus.com/inward/record.url?scp=84919340323&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84919340323&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-07782-6_29
DO - 10.1007/978-3-319-07782-6_29
M3 - Conference contribution
AN - SCOPUS:84919340323
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 313
EP - 323
BT - Wireless Algorithms, Systems and Applications - 9th International Conference, WASA 2014, Proceedings
A2 - Cai, Zhipeng
A2 - Wang, Chaokun
A2 - Cheng, Siyao
A2 - Wang, Hongzhi
A2 - Gao, Hong
PB - Springer Verlag
Y2 - 23 June 2014 through 25 June 2014
ER -