Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Kazu Hirata

dblp:57/2202 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none

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

Computer networks · 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
Internet architecture and protocols · 77% Network measurement and analytics · 23%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet architecture and protocols
packet marking
0.112005
Efficient Probabilistic Packet Marking · ICNP 2005
Network security
IP traceback
0.112005
Efficient Probabilistic Packet Marking · ICNP 2005
Network security › IP traceback
probabilistic packet marking
0.112005
Efficient Probabilistic Packet Marking · ICNP 2005

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

single-bit packet header marking · 0.1
YearPublicationVenuePosition
2005 Efficient Probabilistic Packet Marking
abstract
Probabilistic packet marking is a general technique which routers can use to reveal internal network information to end-hosts. Such information is probabilistically set by the routers in headers of regular IP packets on their way to destinations. A number of potential applications have been identified, such as IP traceback, congestion control, robust routing algorithms, dynamic network reconfiguration, and locating Internet bottlenecks, etc. In this paper, we define EPPM, an efficient general probabilistic packet marking scheme with a wide range of potential applications, of which locating Internet bottlenecks and IP traceback are investigated as two representative examples to demonstrate its effectiveness. Our proposed scheme imposes only a single-bit overhead in the IP packet headers. More importantly, it significantly reduces the number of IP packets required to convey the relevant information when compared to the prior best known scheme (almost by two orders of magnitude).
Qunfeng Dong, Suman Banerjee 0001, Micah Adler, Kazu Hirata
ICNP4