• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/

Digital Library


Search: "[ keyword: Privacy ]" (26)
  1. 1. R&D Direction Derivation for Privacy-Enhancing Technologies Through Systematic Patent Analysis
    Donghwan Ko, Yeji Choi, Vol. 27, No. 1, pp. 133-146, Feb. 2026
    10.7472/jksii.2026.27.1.133
    Keywords: Privacy-enhancing technology, OS Matrix, R&D direction, Patent Analysis
  2. 2. A Survey of Robust Federated Adversarial Training: Expanded Threat Model, Design Perspectives, and Evaluation Guidelines
    Suchul Lee, Vol. 27, No. 1, pp. 67-78, Feb. 2026
    10.7472/jksii.2026.27.1.67
    Keywords: Federated learning, Federated Adversarial Training, Non-IID, Byzantine-robust Aggregation, Differential privacy
  3. 3. Provable Targeted Fully Homomorphic Encryption
  4. 4. Cybersecurity Risk Assessment: An Asset-Based Approach to Pre-Attack Threat Analysis
    Hyunmin Lee, Kyungho Lee, Vol. 26, No. 3, pp. 19-33, Jun. 2025
    10.7472/jksii.2025.26.3.19
    Keywords: Attack trees, cybersecurity, data privacy, information security, Risk Analysis
  5. 5. Federated learning-based client training acceleration method for personalized digital twins
  6. 6. Design Blockchain as a Service and Smart Contract with Secure Top-k Search that Improved Accuracy
    Hobin Jang, Ji Young Chun, Ik Rae Jeong, Geontae Noh, Vol. 24, No. 5, pp. 85-96, Oct. 2023
    10.7472/jksii.2023.24.5.85
    Keywords: earchable Encryption, Top-k Search, Privacy Preserving, Blockchain as a Service, Smart Contract
  7. 7. Enhancing the Cybersecurity Checklist for Mobile Applications in DTx based on MITRE ATT&CK for Ensuring Privacy
    Gee-hee Yun, Kyoung-jin Kim, Vol. 24, No. 4, pp. 15-24, Aug. 2023
    10.7472/jksii.2023.24.4.15
    Keywords: DTx (Digital Therapeutics), MITRE ATT&CK Mobile, Mobile App Security, Privacy
  8. 8. A Study on the Improving Information Investigation Techniques to guarantee Internet Safety and Personal Privacy
  9. 9. Efficient distributed consensus optimization based on patterns and groups for federated learning
    Seung Ju Kang, Ji Young Chun, Geontae Noh, Ik Rae Jeong, Vol. 23, No. 4, pp. 73-85, Aug. 2022
    10.7472/jksii.2022.23.4.73
    Keywords: Federated learning, Optimization, Weight model, Communication time, Privacy, ADMM
  10. 10. A Study on Factors Affecting University Students' Satisfaction with YouTube AI Recommendation System
    LiuCun Zhu, Chao Wang, HaSung Hwang, Vol. 23, No. 3, pp. 77-85, Jun. 2022
    10.7472/jksii.2022.23.3.77
    Keywords: YouTube AI recommendation system, Satisfaction, TAM, Usefulness, preference suitability, privacy concerns