publication . Article . Preprint . 2016

An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics

Conti, Francesco; Schilling, Robert; Schiavone, Pasquale Davide; Pullini, Antonio; Rossi, Davide; Gurkaynak, Frank Kagan; Muehlberghuber, Michael; Gautschi, Michael; Loi, Igor; Haugou, Germain; ...
Open Access
  • Published: 18 Dec 2016 Journal: IEEE Transactions on Circuits and Systems I: Regular Papers, volume 64, pages 2,481-2,494 (issn: 1549-8328, eissn: 1558-0806, Copyright policy)
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • Country: Italy
Abstract
Near-sensor data analytics is a promising direction for IoT endpoints, as it minimizes energy spent on communication and reduces network load - but it also poses security concerns, as valuable data is stored or sent over the network at various stages of the analytics pipeline. Using encryption to protect sensitive data at the boundary of the on-chip analytics engine is a way to address data security issues. To cope with the combined workload of analytics and encryption in a tight power envelope, we propose Fulmine, a System-on-Chip based on a tightly-coupled multi-core cluster augmented with specialized blocks for compute-intensive data processing and encryption...
Read more
doi: 10.1109/tcsi.2017.2698019
Subjects
free text keywords: Embedded system, business.industry, business, Encryption, Client-side encryption, Data security, Disk encryption hardware, Data analysis, Analytics, 40-bit encryption, Disk encryption, Computer science, approximate computing, Computer architecture, feature extraction, Internet of Things, low-power electronics, neural networks, parallel architectures, Electrical and Electronic Engineering, Computer Science - Hardware Architecture, Computer Science - Cryptography and Security, Computer Science - Learning, Computer Science - Neural and Evolutionary Computing
Related Organizations
View more
Funded by
EC| ExaNoDe
Project
ExaNoDe
European Exascale Processor Memory Node Design
  • Funder: European Commission (EC)
  • Project Code: 671578
  • Funding stream: H2020 | RIA
, EC| MULTITHERMAN
Project
MULTITHERMAN
Multiscale Thermal Management of Computing Systems
  • Funder: European Commission (EC)
  • Project Code: 291125
  • Funding stream: FP7 | SP2 | ERC
, EC| OPRECOMP
Project
OPRECOMP
Open transPREcision COMPuting
  • Funder: European Commission (EC)
  • Project Code: 732631
  • Funding stream: H2020 | RIA
Communities
FET H2020FET HPC: HPC Core Technologies, Programming Environments and Algorithms for Extreme Parallelism and Extreme Data Applications
FET H2020FET HPC: European Exascale Processor Memory Node Design
FET H2020FET PROACT: FET Proactive: emerging themes and communities
FET H2020FET PROACT: Open transPREcision COMPuting
Download fromView all 4 versions
IEEE Transactions on Circuits and Systems I Regular Papers
Article
Provider: UnpayWall
Archivio istituzionale della ricerca - Alma Mater Studiorum Università di Bologna
Article . 2017
Provider: Archivio istituzionale della ricerca - Alma Mater Studiorum Università di Bologna
arXiv.org e-Print Archive
Preprint . 2016
Provider: arXiv.org e-Print Archive
http://dx.doi.org/10.1109/tcsi...
Article
Provider: Sygma
View more
70 references, page 1 of 5

[1] F. Bonomi, R. Milito, J. Zhu, and S. Addepalli, “Fog Computing and Its Role in the Internet of Things,” in Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing, ser. MCC '12. New York, NY, USA: ACM, 2012, pp. 13-16. [Online]. Available: http://doi.acm.org/10.1145/2342509.2342513

[2] H. Kumarage, I. Khalil, A. Alabdulatif, Z. Tari, and X. Yi, “Secure Data Analytics for Cloud-Integrated Internet of Things Applications,” IEEE Cloud Computing, vol. 3, no. 2, pp. 46-56, Mar 2016.

[3] R. Khan, S. U. Khan, R. Zaheer, and S. Khan, “Future Internet: The Internet of Things Architecture, Possible Applications and Key Challenges,” in 2012 10th International Conference on Frontiers of Information Technology, Dec. 2012, pp. 257-260.

[4] Z. K. Zhang, M. C. Y. Cho, C. W. Wang, C. W. Hsu, C. K. Chen, and S. Shieh, “IoT Security: Ongoing Challenges and Research Opportunities,” in 2014 IEEE 7th International Conference on Service-Oriented Computing and Applications, Nov. 2014, pp. 230-234.

[5] D. Dinu, Y. Le Corre, D. Khovratovich, L. Perrin, J. Grossscha¨dl, and A. Biryukov, “Triathlon of Lightweight Block Ciphers for the Internet of Things.” IACR Cryptology ePrint Archive, vol. 2015, p. 209, 2015.

[6] A. Krizhevsky, I. Sutskever, and G. E. Hinton, “ImageNet Classification with Deep Convolutional Neural Networks,” in Advances in Neural Information Processing Systems 25, F. Pereira, C. J. C. Burges, L. Bottou, and K. Q. Weinberger, Eds. Curran Associates, Inc., 2012, pp. 1097- 1105.

[7] L. Cavigelli, M. Magno, and L. Benini, “Accelerating Real-time Embedded Scene Labeling with Convolutional Networks,” in Proceedings of the 52Nd Annual Design Automation Conference, ser. DAC '15. New York, NY, USA: ACM, 2015, pp. 108:1-108:6.

[8] R. Girshick, J. Donahue, T. Darrell, J. Malik, and U. C. Berkeley, “Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation,” in Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014, pp. 580-587.

[9] G. E. Dahl, D. Yu, L. Deng, and A. Acero, “Context-Dependent PreTrained Deep Neural Networks for Large-Vocabulary Speech Recognition,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 20, no. 1, pp. 30-42, 2012. [OpenAIRE]

[10] K. He, X. Zhang, S. Ren, and J. Sun, “Deep Residual Learning for Image Recognition,” arXiv:1512.03385 [cs], Dec. 2015.

[11] F. Conti, C. Pilkington, A. Marongiu, and L. Benini, “He-P2012 : Architectural Heterogeneity Exploration on a Scalable Many-Core Platform,” in Proceedings of 25th IEEE Conference on Application-Specific Architectures and Processors, 2014.

[12] D. Rossi, F. Conti, A. Marongiu, A. Pullini, I. Loi, M. Gautschi, G. Tagliavini, A. Capotondi, P. Flatresse, and L. Benini, “PULP: A Parallel Ultra Low Power Platform for next Generation IoT Applications,” in Hot Chips 27 Symposium (HCS), 2015 IEEE. IEEE, 2015, pp. 1-39.

[13] A. Rahimi, I. Loi, M. R. Kakoee, and L. Benini, “A Fully-Synthesizable Single-Cycle Interconnection Network for Shared-L1 Processor Clusters,” in 2011 Design, Automation & Test in Europe. IEEE, Mar. 2011, pp. 1-6.

[14] OpenRISC 1000 Architecture Manual, 2012.

[15] M. Gautschi, P. D. Schiavone, A. Traber, I. Loi, A. Pullini, D. Rossi, E. Flamand, F. K. Gu¨ rkaynak, and L. Benini, “A near-Threshold RISCV Core with DSP Extensions for Scalable IoT Endpoint Devices,” arXiv:1608.08376 [cs], Aug. 2016.

70 references, page 1 of 5
Powered by OpenAIRE Open Research Graph
Any information missing or wrong?Report an Issue

publication . Article . Preprint . 2016

An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics

Conti, Francesco; Schilling, Robert; Schiavone, Pasquale Davide; Pullini, Antonio; Rossi, Davide; Gurkaynak, Frank Kagan; Muehlberghuber, Michael; Gautschi, Michael; Loi, Igor; Haugou, Germain; ...

Projects
Research outcomes
Communities