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CSET 2024: Workshop on Cyber Security Experimentation and Test

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CSET
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투고 마감일:
2025-09-17 Extended
통보일:
2025-10-15
개최일:
2024-08-13
개최지:
Philadelphia, Pennsylvania, USA
개최 횟수:
17
조회: 27716   팔로우: 3   참가: 0

회반 지수 (CP-I)

50.7 / 100
전체 5,683개 중 1,429위 · 상위 26%

보안·프라이버시 분야 360개 중 96위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
78
커뮤니티 관심도 (10%)
24
공개 자료 충실도 (15%)
35

사용한 입력: 확인되는 개최 횟수: 17 · 회반에서 팔로우 중인 연구자: 3명 · 지난 24개월 동안 이 페이지를 연 연구자: 3명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-22

논문 모집

CSET 2024 (Workshop on Cyber Security Experimentation and Test) is an academic conference held in Philadelphia, Pennsylvania, USA on 2024-08-13. The paper submission deadline is 2025-09-17 (extended). Acceptance notifications are sent on 2025-10-15.

Overview For 17 years, the Workshop on Cyber Security Experimentation and Test (CSET) has been an important and lively space for discussing all encompassing cybersecurity topics related to reliability, validity, reproducibility, transferability, ethics, and scalability—in practice, in research, and in education. Submissions are particularly encouraged to employ a scientific approach to cybersecurity and demonstrably grow community resources. Invited Topics For CSET '25, we solicit exciting work across a broad range of areas relevant to security and privacy. A list of topics of interest (broadly interpreted): * Cybersecurity research methods: designing and conducting large and complex system evaluations in the context of cybersecurity, i.e., experiences and discussions of qualitative and quantitative methods, what are the models and tools that facilitate research. * Measurement and metrics: measurement required to understand performance and optimization of cybersecurity systems and defining appropriate metrics, i.e., valid metrics, test cases, and benchmarks, effectiveness of metric in evaluation, impact of measurement on evaluation. * Data sets: collection, analysis, and interpretation of data for cyber security, i.e., what makes good data sets and how do we compare data sets, methods to collect, generate, or derive new ones, historical impact of a dataset. * Experimental infrastructure: testbeds, simulations, emulations, and virtualizations, i.e., designing, orchestrating, and deploying testbeds, tools for improving testbed operation and maintenance, usage and impact studies of experimentation infrastructure. * Education: surveys, tools, and techniques for cyber security education and training, i.e., evaluating and presenting educational approaches to cybersecurity, approaches that leverage datasets, utilize testbeds, apply experiential learning principles, or promote awareness of research methods and sound measurement approaches. * High consequence cyber systems: rigorous experimental methodologies, i.e., appropriate design of experiments, parameter sampling strategies, quantifying uncertainties with confidence intervals, ensuring reproducibility, and validating models. * Ethics in cybersecurity: tussle between security and privacy, i.e., experiences balancing stakeholder considerations, participant privacy, frameworks for evaluating the ethics of cybersecurity experiments, and illustrative experiment samples for ethical conduct that upholds the code outlined in http://cpsr.org/issues/ethics/cei/. * Evaluating real-world security controls: measurements of deployed security frameworks, i.e., evaluation methodologies for real-world security performance, user-related characteristics (behavior, demographics) modeling, cybersecurity and social media.
최종 수정: Victor Le Pochat ()

관련 학회

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
IEEE Design & Test1.9IEEE2168-2356
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

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