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Sumit Talwar

dblp:03/6082 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2001
—ORCID · none

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

Systems, architecture and hardware · 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
Cyber-physical and IoT security · 33% Systems and software security · 33% Authentication and access control · 33%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%

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

TopicWeightPapersLastEvidence papers
Systems and software security
distributed system security
0.012001
Overview of Security Considerations for Computational and Data Grids · HPDC 2001
Cyber-physical and IoT security
grid security
0.012001
Overview of Security Considerations for Computational and Data Grids · HPDC 2001
Distributed systems
grid computing
0.012001
Overview of Security Considerations for Computational and Data Grids · HPDC 2001
YearPublicationVenuePosition
2001 Overview of Security Considerations for Computational and Data Grids
abstract
Large-scale science and engineering is frequently done through the interaction of collaborating groups, heterogeneous computing resources, information systems, and instruments, all of which are geographically and organizationally dispersed. The overall motivation for "Grids" is to enable the routine interactions of these resources to enhance this type of large-scale science and engineering, and thus substantially increase the computing and data handling capabilities available to science and engineering projects. However, even if this environment works in every other way, it will not be viable if it is constantly disrupted by hackers and their kin. Distributed applications are potentially more vulnerable than conventional scientific problem solving environments because there are substantially more targets to attack in order to impact a single application. Much of the overall security of Grids is inherited from the security of the underlying systems. There are, however, some security considerations at the Grid level that are independent of the underlying systems, and we focus on this latter aspect.
William E. Johnston, Sumit Talwar, Keith R. Jackson
HPDC2