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Nicholas J. Puketza

dblp:62/6723 · DBLP profile ↗
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2ranked-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 · 1Software engineering, systems software and programming languages · 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.

Network and information security
2 papers
Network security · 100%
Computer networks
1 paper
Routing and switching · 77% Network management and operations · 23%
Software engineering, system software, and programming languages
1 paper
Software testing · 100%

Topics — the 5 heaviest of 5, 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 security › intrusion detection and prevention
intrusion detection
0.011996
A Methodology for Testing Intrusion Detection Systems · IEEE Trans. Software Eng. 1996
Software testing › test optimization
test case selection
0.011996
A Methodology for Testing Intrusion Detection Systems · IEEE Trans. Software Eng. 1996
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 · 0.0user-simulation scripts · 0.0record-and-replay · 0.0record and replay · 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&P3
1996 A Methodology for Testing Intrusion Detection Systems
abstract
Intrusion detection systems (IDSs) attempt to identify unauthorized use, misuse, and abuse of computer systems. In response to the growth in the use and development of IDSs, the authors have developed a methodology for testing IDSs. The methodology consists of techniques from the field of software testing which they have adapted for the specific purpose of testing IDSs. They identify a set of general IDS performance objectives which is the basis for the methodology. They present the details of the methodology, including strategies for test-case selection and specific testing procedures. They include quantitative results from testing experiments on the Network Security Monitor (NSM), an IDS developed at UC Davis. They present an overview of the software platform that has been used to create user-simulation scripts for testing experiments. The platform consists of the UNIX tool expect and enhancements that they have developed, including mechanisms for concurrent scripts and a record-and-replay feature. They also provide background information on intrusions and IDSs to motivate their work.
Nicholas J. Puketza, Mandy Chung, Biswanath Mukherjee, Ronald A. Olsson
IEEE Trans. Software Eng.1