Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
권호 표지
DOI QR코드

DOI QR Code

Security, Privacy, and Efficiency of Sustainable Computing for Future Smart Cities

  • Jeong, Young-Sik (Dept. of Multimedia Engineering, Dongguk University) ;
  • Park, Jong Hyuk (Dept. of Computer Science and Engineering, Seoul National University of Science & Technology (SeoulTech))
  • Received : 2020.01.29
  • Accepted : 2020.02.17
  • Published : 2020.02.29
Download PDF
⟨ Previous Next ⟩

Abstract

Sustainable computing is a rapidly expanding field of research covering the fields of multidisciplinary engineering. With the rapid adoption of Internet of Things (IoT) devices, issues such as security, privacy, efficiency, and green computing infrastructure are increasing day by day. To achieve a sustainable computing ecosystem for future smart cities, it is important to take into account their entire life cycle from design and manufacturing to recycling and disposal as well as their wider impact on humans and the places around them. The energy efficiency aspects of the computing system range from electronic circuits to applications for systems covering small IoT devices up to large data centers. This editorial focuses on the security, privacy, and efficiency of sustainable computing for future smart cities. This issue accepted 17 articles after a rigorous review process.

Keywords

References

  1. S. Maity, M. Abdel-Mottaleb, and S. S. Asfour, "Multimodal biometrics recognition from facial video with missing modalities using deep learning," Journal of Information Processing Systems, vol. 16, no. 1, pp. 6-29, 2020. https://doi.org/10.3745/JIPS.02.0129
  2. K. Hu and X. Feng, "An improvement algorithm for the image compression imaging," Journal of Information Processing Systems, vol. 16, no. 1, pp. 30-41, 2020. https://doi.org/10.3745/JIPS.01.0048
  3. K. Koo, W. Lee, S. R. Cho, and I. Joe, "A secure operating system architecture based on Linux against communication offense with root exploit for unmanned aerial vehicles," Journal of Information Processing Systems, vol. 16, no. 1, pp. 42-48, 2020. https://doi.org/10.3745/JIPS.03.0130
  4. Z. Wang, X. Huang, and F. Huang, "A new image enhancement algorithm based on bidirectional diffusion," Journal of Information Processing Systems, vol. 16, no. 1, pp. 49-60, 2020. https://doi.org/10.3745/JIPS.04.0155
  5. J. Y. Park and E. N. Huh, "A cost-optimization scheme using security vulnerability measurement for efficient security enhancement," Journal of Information Processing Systems, vol. 16, no. 1, pp. 61-82, 2020. https://doi.org/10.3745/JIPS.02.0128
  6. L. Zhou and Y. Shan, "Privacy-preserving and energy-saving data aggregation scheme in wireless sensor networks," Journal of Information Processing Systems, vol. 16, no. 1, pp. 83-95, 2020. https://doi.org/10.3745/JIPS.03.0131
  7. L. Ni, Y. Liu, and Y. Liu, "Privacy protection model for location-based services," Journal of Information Processing Systems, vol. 16, no. 1, pp. 96-112, 2020. https://doi.org/10.3745/JIPS.04.0163
  8. T. Kim, D. Kim, and S. Lee, "Cell counting algorithm using radius variation, watershed and distance transform," Journal of Information Processing Systems, vol. 16, no. 1, pp. 113-119, 2020. https://doi.org/10.3745/JIPS.04.0158
  9. M. Xu, J. Wei, and H. Xiu, "Research on the basic Rodrigues rotation in the conversion of point clouds coordinate system," Journal of Information Processing Systems, vol. 16, no. 1, pp. 120-131, 2020. https://doi.org/10.3745/JIPS.04.0161
  10. M. Hanine and E. Benlahmar, "A load-balancing approach using an improved simulated annealing algorithm," Journal of Information Processing Systems, vol. 16, no. 1, pp. 132-144, 2020. https://doi.org/10.3745/JIPS.01.0050
  11. Y. Zhao and B. Jiang, "Adaptive signal separation with maximum likelihood," Journal of Information Processing Systems, vol. 16, no. 1, pp. 145-154, 2020. https://doi.org/10.3745/JIPS.04.0162
  12. X. Wu, F. Guan, and A. Xu, "Passive ranging based on planar homography in a monocular vision system," Journal of Information Processing Systems, vol. 16, no. 1, pp. 155-170, 2020. https://doi.org/10.3745/JIPS.03.0132
  13. Y. S. Park and J. W. Lee, "Class-labeling method for designing a deep neural network of capsule endoscopic images using a lesion-focused knowledge model," Journal of Information Processing Systems, vol. 16, no. 1, pp. 171-183, 2020. https://doi.org/10.3745/JIPS.02.0127
  14. K. Wang and S. Yang, "Computing semantic similarity between ECG-information concepts based on an entropy-weighted concept lattice," Journal of Information Processing Systems, vol. 16, no. 1, pp. 184-200, 2020. https://doi.org/10.3745/JIPS.04.0157
  15. J. Ahn and D. H. Im, "Combining local and global features to reduce 2-hop label size of directed acyclic graphs," Journal of Information Processing Systems, vol. 16, no. 1, pp. 201-209, 2020. https://doi.org/10.3745/JIPS.04.0159
  16. Y. Wang, H. Tao, and Z. Ma, "Symbiotic organisms search for constrained optimization problems," Journal of Information Processing Systems, vol. 16, no. 1, pp. 210-223, 2020. https://doi.org/10.3745/JIPS.01.0049
  17. U. Jang, K. H. Suh, and E. C. Lee, "Low-quality banknote serial number recognition based on deep neural network," Journal of Information Processing Systems, vol. 16, no. 1, pp. 224-237, 2020. https://doi.org/10.3745/JIPS.04.0160