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Richard Atkins

dblp:31/5534 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · none

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

Software engineering, systems software and programming languages · 1 · 1 since 2021Databases, data management, data science and information retrieval · 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
1 paper
Usable security · 100%
Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Usable security › security behavior
security decision-making
0.612022
The Best Laid Plans or Lack Thereof: Security Decision-Making of Different Stakeholder Groups · IEEE Trans. Software Eng. 2022

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

tabletop game · 1.1empirical study · 1.1
YearPublicationVenuePosition
2022 The Best Laid Plans or Lack Thereof: Security Decision-Making of Different Stakeholder Groups
abstract
Cyber security requirements are influenced by the priorities and decisions of a range of stakeholders. Board members and Chief Information Security Officers (CISOs) determine strategic priorities. Managers have responsibility for resource allocation and project management. Legal professionals concern themselves with regulatory compliance. Little is understood about how the security decision-making approaches of these different stakeholders contrast, and if particular groups of stakeholders have a better appreciation of security requirements during decision-making. Are risk analysts better decision makers than CISOs? Do security experts exhibit more effective strategies than board members? This paper explores the effect that different experience and diversity of expertise has on the quality of a team's cyber security decision-making and whether teams with members from more varied backgrounds perform better than those with more focused, homogeneous skill sets. Using data from 208 sessions and 948 players of a tabletop game runin the wildby a major national organization over 16 months, we explore how choices are affected by player background (e.g., cyber security experts versus risk analysts, board-level decision makers versus technical experts) and different team make-ups (homogeneous teams of security experts versus various mixes). We find that no group of experts makes significantly better game decisions than anyone else, and that their biases lead them to not fully comprehend what they are defending or how the defenses work.
Ben Shreeve, Joseph Hallett, Matthew Edwards 0001, Kopo M. Ramokapane, Richard Atkins, Awais Rashid
IEEE Trans. Software Eng.5
1983 An Automatically Retargetable Microcode Compiler
Richard Atkins
ER1