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Ryan Koga

dblp:12/1078 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1Security and privacy · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Network security · 100%
Computer networks
1 paper
Network measurement and analytics · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network security › source address validation
IP spoofing prevention
0.412019
Network Hygiene, Incentives, and Regulation: Deployment of Source Address Validation in the Internet · CCS 2019
Network security
source address validation
0.412019
Network Hygiene, Incentives, and Regulation: Deployment of Source Address Validation in the Internet · CCS 2019
Network measurement and analytics
internet measurement
0.112019
Network Hygiene, Incentives, and Regulation: Deployment of Source Address Validation in the Internet · CCS 2019
YearPublicationVenuePosition
2019 Network Hygiene, Incentives, and Regulation: Deployment of Source Address Validation in the Internet
abstract
The Spoofer project has collected data on the deployment and characteristics of IP source address validation on the Internet since 2005. Data from the project comes from participants who install an active probing client that runs in the background. The client automatically runs tests both periodically and when it detects a new network attachment point. We analyze the rich dataset of Spoofer tests in multiple dimensions: across time, networks, autonomous systems, countries, and by Internet protocol version. In our data for the year ending August 2019, at least a quarter of tested ASes did not filter packets with spoofed source addresses leaving their networks. We show that routers performing Network Address Translation do not always filter spoofed packets, as 6.4% of IPv4/24 tested in the year ending August 2019 did not filter. Worse, at least two thirds of tested ASes did not filter packets entering their networks with source addresses claiming to be from within their network that arrived from outside their network. We explore several approaches to encouraging remediation and the challenges of evaluating their impact. While we have been able to remediate 352 IPv4/24, we have found an order of magnitude more IPv4/24 that remains unremediated, despite myriad remediation strategies, with 21% unremediated for more than six months. Our analysis provides the most complete and confident picture of the Internet's susceptibility to date of this long-standing vulnerability. Although there is no simple solution to address the remaining long-tail of unremediated networks, we conclude with a discussion of possible non-technical interventions, and demonstrate how the platform can support evaluation of the impact of such interventions over time.
Matthew J. Luckie, Robert Beverly, Ryan Koga, Ken Keys, Joshua A. Kroll, K. C. Claffy
CCS3
2001 The CoralReef Software Suite as a Tool for System and Network Administrators
David Moore 0001, Ken Keys, Ryan Koga, Edouard Lagache, K. C. Claffy
LISA3