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TMA 2024: Network Traffic Measurement and Analysis Conference

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투고 마감일:
2024-03-01
통보일:
2024-04-19
개최일:
2024-05-21
개최지:
Dresden, Germany
조회: 22815   팔로우: 5   참가: 0

회반 지수 (CP-I)

55.7 / 100
전체 5,687개 중 810위 · 상위 15%

전기·전자공학 분야 510개 중 23위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%)
72
개최 횟수 (20%)
65
커뮤니티 관심도 (10%)
26
공개 자료 충실도 (15%)
55

사용한 입력: 게재율: 35%(기록이 있는 5개 회차의 평균) · 확인되는 개최 횟수: 10 · 회반에서 팔로우 중인 연구자: 5명 · 지난 24개월 동안 이 페이지를 연 연구자: 2명

공개 자료에서 빠진 항목: 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 65% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-30

논문 모집

TMA 2024 (Network Traffic Measurement and Analysis Conference) is an academic conference held in Dresden, Germany on 2024-05-21. The paper submission deadline is 2024-03-01. Acceptance notifications are sent on 2024-04-19.

The Network Traffic Measurement and Analysis Conference (TMA) aims to be a highly selective venue for presenting both mature and early-stage research – as well as controversial work – on all aspects of measurement and analysis of network traffic. TMA conference has a strong tradition of open and lively interaction among scientists and engineers in academia and industry, and serves as a premier forum to exchange ideas, and present advances over the state-of-the-art in measurements of Internet traffic on all layers, as well as in measurement and analysis techniques. TMA 2024 invites submissions presenting concepts, experiences, and of course results in collection, processing, analysis and visualization of network traffic data to enable traffic classification, anomaly detection, performance enhancement, monitoring, management, security, privacy or other uses of network data. The focus is on improving network measurements across the entire network stack up to application layers, with an emphasis on diverse areas of network communication such as data centers, satellite networks, mobile networks, IoT devices as well as devices connected to multiple networks. To further encourage the results’ faithfulness and avoid publication bias, the conference will particularly encourage negative results revealed by novel measurement methods or vantage points. All regular papers are hence encouraged to discuss the limitations of the presented approaches and also mention which experiments did not work. Additionally, TMA will also be open to accepting papers that exclusively deal with negative results, especially when new measurement methods or perspectives offer insight into the limitations and challenges of network measurement in practice. Negative results will be evaluated based on their impact (e.g. revealed in realistic production networks) as well as the novelty of the vantage points (e.g. scarce data source) or measurement techniques that revealed them. Topics of interest include, but are not limited to: Measurements of network performance and network topology Measurements of the deployment, performance, and security of Internet infrastructure including the use of the Internet Naming system Measurements of energy consumption of Internet infrastructure and data centers Measurement of the deployment and use of protocols (e.g. TCP, MPTCP, IPv6, HTTP/2, QUIC) Identification and classification of traffic, including encrypted and proprietary protocols Techniques for privacy preservation and anonymization of traffic measurements Traffic analysis for anomaly/vulnerability/attack detection, including measuring the economic/financial impact of cyber attacks Measurement and analysis of deployed techniques for censorship Application-layer measurements, including web services, social networks and identity management systems Measurements of quality of service and quality of experience for audio/video streaming, video conferencing, virtual/augmented reality and gaming Use of artificial intelligence and machine learning in network measurement and analysis Visualization of measurement data including novel representations based on learning methods Measurements of data centers or cloud-based systems, Software-Defined Networks (SDN) and Virtual Network Functions (VNF)s Measurements of mobile and wireless traffic including devices with multiple network paths Measurements of satellite communication systems and impacts on performance Measurements of IoT devices, their traffic patterns as well as the use of protocols, and in home networks Measurements on testbeds, experimental networks, or prototype networks Platforms for measurement, troubleshooting, and management of operational networks Simulation and modeling for network measurements, analysis, and visualization Current and emerging regulatory frameworks for measurement, analysis, privacy. Measurements of fragmentation as well as consolidation and centralization effect on the Internet Validation and repeatability of measurements, shared datasets, and measurement tools Negative results revealed by novel traffic measurements
최종 수정: Dou Sun ()

게재율

평균 게재율: 40% 9년간 (2009–2018).

연도투고 수게재 수게재율(%)
2018562239.3%
2017541935.2%
2016471634%
2015541629.6%
2014301136.7%
2012291862.1%
2011381436.8%
2010341441.2%
2009331545.5%

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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Measurement5.2Elsevier0263-2241
Social Network Analysis and Mining2.8Springer1869-5450
Measurement: SensorsElsevier2665-9174
Measurement and Control1.300SAGE0020-2940
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

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