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Kirk A. Bradley

dblp:07/6899 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1998
—ORCID · none

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

Security and privacy · 1 · 1 first-author

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.

Computer networks
1 paper
Routing and switching · 77% Network management and operations · 23%
Network and information security
1 paper
Network security · 100%

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

TopicWeightPapersLastEvidence papers
Routing and switching › routing
secure routing
0.011998
Detecting Disruptive Routers: A Distributed Network Monitoring Approach · S&P 1998
Network security › network measurement
network monitoring
0.011998
Detecting Disruptive Routers: A Distributed Network Monitoring Approach · S&P 1998
Network management and operations › fault management
fault diagnosis
0.011998
Detecting Disruptive Routers: A Distributed Network Monitoring Approach · S&P 1998

Methods — techniques the papers use, named apart from their topics

conservation of flow · 0.0
YearPublicationVenuePosition
1998 Detecting Disruptive Routers: A Distributed Network Monitoring Approach
abstract
An attractive target for a computer system attacker is the router. An attacker in control of a router can disrupt communication by dropping or misrouting packets passing through the router. We present a protocol called WATCHERS that detects and reacts to routers that drop or misroute packets. WATCHERS is based on the principle of conservation of flow in a network: all data bytes sent into a node, and not destined for that node, are expected to exit the node. WATCHERS tracks this flow, and detects routers that violate the conservation principle. We show that WATCHERS has several advantages over existing network monitoring techniques. We argue that WATCHERS' impact on router performance and WATCHERS' memory requirements are reasonable for many environments. We demonstrate that in ideal conditions WATCHERS makes no false-positive diagnoses. We also describe how WATCHERS can be tuned to perform nearly as well in realistic conditions.
Kirk A. Bradley, Steven Cheung, Nicholas J. Puketza, Biswanath Mukherjee, Ronald A. Olsson
S&P1