TY - GEN
T1 - Securing big data and IoT networks in smart cyber-physical environments
AU - Das, Sajal K.
AU - Yamana, Hayato
N1 - Funding Information:
This position paper highlights some of our synergistic research efforts aimed to develop novel security solutions, frameworks and models for CPS, big data and IoT networks. The goal is to provide security and privacy protection for people, assets, and critical infrastructures under various attack scenarios, thus improving quality of life in smart and connected communities. Our cutting-edge research has been independently funded by the National Science Foundation (NSF) in the US and the Japan Science and Technology Agency (JST).
ACKNOWLEDGMENTS The authors are grateful to JST and NSF for their support. The Japanese side project was supported by JST CREST Grant Number JPMJCR1503, Japan. The US side projects were funded by the NSF CPS program under award numbers CNS-1545037 and CNS-1545050.
V. CONCLUSION Security in big data, IoT, and cloud computing is extremely important to realize dependable, reliable and robust CPS and smart environments. This position paper summarized our current research projects funded by JST and NSF in big data, CPS and IoT security and privacy. Our current research investigates models and frameworks for system level security coupled with crypto solutions at lower level. By leveraging our complementary expertise, the future work will aim at end to end security solutions for CPS with smart grid as the case study (see Figure 1). As an example, Das’ group has developed the SelCSP framework  to facilitate dynamic selection of trusted cloud service providers that minimize access risk, and a lightweight mechanism  for protecting IoT-enabled AMI micro-grids against node compromises, such as data falsification and malicious attacks. Given these are complementary efforts to the FHE solutions for secure computation proposed by Yamana’s group, our ideas for synergistic collaboration include: 1) development of an integrated viewpoint of secure cloud computing platform that incorporates SelCSP model and defense against data falsification attacks; 2) adoption of secure computation technique with FHE on a real IoT applications such as smart grid; and 3) design of a new approach to optimize the tradeoff between security level and energy consumption of IoT devices caused by FHE to establish a feasible implementation.
PY - 2017/7/21
Y1 - 2017/7/21
N2 - This position paper highlights security and privacy issues in smart environments based on cyber-physical systems. It also summarizes some of our recent research activities and projects in this area.
AB - This position paper highlights security and privacy issues in smart environments based on cyber-physical systems. It also summarizes some of our recent research activities and projects in this area.
UR - http://www.scopus.com/inward/record.url?scp=85030323971&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85030323971&partnerID=8YFLogxK
U2 - 10.1145/3128128.3128157
DO - 10.1145/3128128.3128157
M3 - Conference contribution
AN - SCOPUS:85030323971
T3 - ACM International Conference Proceeding Series
SP - 189
EP - 194
BT - 2017 International Conference on Smart Digital Environment, ICSDE 2017 - Proceedings
A2 - Benhaddou, Driss
A2 - Habbani, Ahmed
A2 - Al-Fuqahaa, Ala
A2 - El Bouanani, Faissal
PB - Association for Computing Machinery
T2 - 2017 International Conference on Smart Digital Environment, ICSDE 2017
Y2 - 21 July 2017 through 23 July 2017