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SPCPS 2017: Workshop on Security and Privacy in Cyber-Physical Systems

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투고 마감일:
2017-03-23 Extended
통보일:
2017-04-22
개최일:
2017-06-21
개최지:
Exeter, UK
조회: 14294   팔로우: 0   참가: 0

회반 지수 (CP-I)

42.1 / 100
전체 5,651개 중 4,083위 · 상위 73%

보안·프라이버시 분야 357개 중 257위 로보틱스·제어 분야 469개 중 298위

근거가 제한적입니다: 이 학회는 CCF / ICORE / QUALIS 어디에도 수록되어 있지 않고 게재율 데이터도 없어, 점수의 대부분이 중립 기준값으로 되돌아갑니다.
학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산
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커뮤니티 관심도 (10%)
8
공개 자료 충실도 (15%)
25

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공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
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신뢰도 25% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-05

논문 모집

SPCPS 2017 (Workshop on Security and Privacy in Cyber-Physical Systems) is an academic conference held in Exeter, UK on 2017-06-21. The paper submission deadline is 2017-03-23 (extended). Acceptance notifications are sent on 2017-04-22.

In the past several decades the rapid development of computer systems and networking technologies have made the physical world highly connected and digitized, thus moving many physical systems and processes into the cyber space. The more recent growth of new technologies such as mobile computing, wearable computing, cloud computing, Internet of Things (IoT), intelligent transport systems (ITS), autonomous and connected vehicles, and augmented/virtual reality have pushed the cyber space to the next level, where cyber and physical worlds become more intermingled and their boundary become more and more blurred. In cyber-physical systems (CPSs), it is not sufficient to consider the cyber and physical worlds separately, and the dynamic interactions between the two worlds become more critical especially when security and user privacy are of concern, which call for more complicated monitoring, measurement, control, adaptation and protection mechanisms at all levels of the system and its different components. In addition to machines and physical objects (things) involved, humans also play a very most important role in CPSs since such systems are designed to serve humans either directly or indirectly. The involvement of human users in CPSs also lead to concerns on privacy protection as there are often much more avenues to leakage of private information ranging from unintended leakage to more attacking vectors. When humans are involved, social interactions between human users form part of the complicated cyber-physical world interactions, so understanding the social elements is also very important. One typical example is the concept of social IoT proposed recently, where social networks and IoT networks are connected via human users who cross over both networks thus forming a larger CPS with even more complicated dynamics. Another example is mobile crowdsensing where human users use their mobile devices and/or in-vehicle sensors to participate in collective sensing of the physical world, which often involve a high level of social interactions among human participants who share and consume such information. Another unique issue around security of human-involved CPSs is that a security flaw or an attack can cause safety risks to human users and/or lead to high financial losses to industry and customers. This can be easily seen from CPSs in application domains such as e-health, transportation, civil engineering, smart grids, and industrial control systems (ICS). The complexity of ensuring security and privacy in CPSs calls for more research in this area, especially on system-level, human-centric and adaptive techniques which can provide more intelligence and automation while providing human users with better experience, more effective control, and an increased level of situational awareness. We welcome submissions addressing research problems in the following (but not limited to these) topics: Security industrial control systems for CPSs Lightweight cryptography for CPSs Data security and privacy for CPS Authentication and access control for CPS Autonomous vehicle security Availability, recovery and auditing for CPS Supervisory control and data acquisition (SCADA) security Self-adaptive techniques for improving security and privacy in CPSs Intelligent systems for security and privacy in CPSs Optimization of security and privacy solutions for CPSs CPS system modelling and simulation for security and privacy purposes Cognitive modelling of human users in CPSs for security and privacy purposes Human behavioral studies around security and privacy issues of CPSs CPS user interfaces for security and privacy purposes Security protocols for CPSs Privacy enhancing technologies for CPSs New attacks to CPSs especially side channel attacks and countermeasures Security and privacy risk management of CPSs Security and privacy situational awareness in CPSs Security and privacy issues around interplay between CPSs and (online) social networks e.g. social IoT networks Security and privacy issues around sensor networks including mobile sensors and body sensors Security and privacy issues around participatory sensing especially mobile crowdsensing Multimedia techniques for improving security and privacy protection of CPSs New architectures and platforms for designing more secure CPSs New frameworks for analyzing security and privacy issues in CPSs Research studying connections between security, privacy, safety and reliability of CPSs Security and privacy problems and solutions in ITS (e.g. connected vehicles and traffic sensors) Security and privacy problems and solutions in e-health and medical devices (e.g. implanted devices) Security and privacy problems and solutions around robots Security and privacy problems and solutions in intelligent power and energy systems
최종 수정: Dou Sun ()

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
IEEE Security & Privacy3.0IEEE1540-7993
Physical Communication2.2Elsevier1874-4907
Security and Privacy2.1Wiley2475-6725
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

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