Measuring bottleneck link speed in packet-switched networks
Performance Evaluation
Using pathchar to estimate Internet link characteristics
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Detecting shared congestion of flows via end-to-end measurement
Proceedings of the 2000 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Analysis of a local-area wireless network
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Characterizing user behavior and network performance in a public wireless LAN
SIGMETRICS '02 Proceedings of the 2002 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Congestion Control in Linux TCP
Proceedings of the FREENIX Track: 2002 USENIX Annual Technical Conference
A framework for wireless LAN monitoring and its applications
Proceedings of the 3rd ACM workshop on Wireless security
Architecture and techniques for diagnosing faults in IEEE 802.11 infrastructure networks
Proceedings of the 10th annual international conference on Mobile computing and networking
The changing usage of a mature campus-wide wireless network
Proceedings of the 10th annual international conference on Mobile computing and networking
MultiQ: automated detection of multiple bottleneck capacities along a path
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Characterizing mobility and network usage in a corporate wireless local-area network
Proceedings of the 1st international conference on Mobile systems, applications and services
An accurate technique for measuring the wireless side of wireless networks
WiTMeMo '05 Papers presented at the 2005 workshop on Wireless traffic measurements and modeling
Enhancing the security of corporate Wi-Fi networks using DAIR
Proceedings of the 4th international conference on Mobile systems, applications and services
MOJO: a distributed physical layer anomaly detection system for 802.11 WLANs
Proceedings of the 4th international conference on Mobile systems, applications and services
Jigsaw: solving the puzzle of enterprise 802.11 analysis
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Analyzing the MAC-level behavior of wireless networks in the wild
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
ACM Transactions on Information and System Security (TISSEC)
Proceedings of the 8th ACM SIGCOMM conference on Internet measurement
Classification of access network types: Ethernet, wireless LAN, ADSL, cable modem or dialup?
Computer Networks: The International Journal of Computer and Telecommunications Networking
Passive Online Detection of 802.11 Traffic Using Sequential Hypothesis Testing with TCP ACK-Pairs
IEEE Transactions on Mobile Computing
Detecting 802.11 wireless hosts from remote passive observations
NETWORKING'07 Proceedings of the 6th international IFIP-TC6 conference on Ad Hoc and sensor networks, wireless networks, next generation internet
Measurement and analysis of single-hop delay on an IP backbone network
IEEE Journal on Selected Areas in Communications
Hi-index | 0.00 |
In this paper, we propose a classification scheme that differentiates Ethernet and WLAN TCP flows based on measurements collected passively at the edge of a network. This scheme computes two quantities, the fraction of wireless TCP flows and the degree of belief that a TCP flow traverses a WLAN inside the network, using an iterative Bayesian inference algorithm that we developed. We prove that this iterative Bayesian inference algorithm converges to the unique maximum likelihood estimate (MLE) of these two quantities. Furthermore, it has the advantage that it can handle any general -classification problem given the marginal distributions of these classes. Numerical and experimental evaluations demonstrate that our classification scheme obtains accurate results. We apply this scheme to two sets of traces collected from two campus networks: one set collected from UMass in mid 2005 and the other collected from UConn in late 2010. Our technique infers that 4%-7% and 52%-55% of incoming TCP flows traverse an IEEE 802.11 wireless link in these two networks, respectively.