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Science of Cyber Security

Third International Conference, SciSec 2021, Virtual Event, August 13–15, 2021, Revised Selected Papers

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Wenlian Lu

    1. Fudan University, Shanghai, China

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  2. Kun Sun

    1. George Mason University, Fairfax, USA

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  3. Moti Yung

    1. Computer Science Department, Columbia University, New York, USA

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  4. Feng Liu

    1. Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13005)

Part of the book sub series: Security and Cryptology (LNSC)

Included in the following conference series:

Conference proceedings info: SciSec 2021.

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Table of contents (19 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Keynote Report

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. SARR: A Cybersecurity Metrics and Quantification Framework (Keynote)

      • Shouhuai Xu
      Pages 3-17

  3. Detection for Cybersecurity

    1. Front Matter

      Pages 19-19
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    2. Detecting Internet-Scale Surveillance Devices Using RTSP Recessive Features

      • Zhaoteng Yan, Zhi Li, Wenping Bai, Nan Yu, Hongsong Zhu, Limin Sun
      Pages 21-35

    3. An Intrusion Detection Framework for IoT Using Partial Domain Adaptation

      • Yulin Fan, Yang Li, Huajun Cui, Huiran Yang, Yan Zhang, Weiping Wang
      Pages 36-50

    4. Mining Trojan Detection Based on Multi-dimensional Static Features

      • Zixian Tang, Qiang Wang, Wenhao Li, Huaifeng Bao, Feng Liu, Wen Wang
      Pages 51-65

    5. Botnet Detection Based on Multilateral Attribute Graph

      • Hua Cheng, Yinda Shen, Tao Cheng, Yiquan Fang, Jianfan Ling
      Pages 66-76

    6. A New Method for Inferring Ground-Truth Labels and Malware Detector Effectiveness Metrics

      • John Charlton, Pang Du, Shouhuai Xu
      Pages 77-92

  4. Machine Learning for Cybersecurity

    1. Front Matter

      Pages 93-93
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    2. Protecting Data Privacy in Federated Learning Combining Differential Privacy and Weak Encryption

      • Chuanyin Wang, Cunqing Ma, Min Li, Neng Gao, Yifei Zhang, Zhuoxiang Shen
      Pages 95-109

    3. Using Chinese Natural Language to Configure Authorization Policies in Attribute-Based Access Control System

      • Zhuoxiang Shen, Neng Gao, Zeyi Liu, Min Li, Chuanyin Wang
      Pages 110-125

    4. A Data-Free Approach for Targeted Universal Adversarial Perturbation

      • Xiaoyu Wang, Tao Bai, Jun Zhao
      Pages 126-138

    5. Caps-LSTM: A Novel Hierarchical Encrypted VPN Network Traffic Identification Using CapsNet and LSTM

      • Jiyue Tang, Le Yang, Song Liu, Wenmao Liu, Meng Wang, Chonghua Wang et al.
      Pages 139-153

    6. Multi-granularity Mobile Encrypted Traffic Classification Based on Fusion Features

      • Hui Zhang, Gaopeng Gou, Gang Xiong, Chang Liu, Yuewen Tan, Ke Ye
      Pages 154-170

    7. Stochastic Simulation Techniques for Inference and Sensitivity Analysis of Bayesian Attack Graphs

      • Isaac Matthews, Sadegh Soudjani, Aad van Moorsel
      Pages 171-186

    8. Simulations of Event-Based Cyber Dynamics via Adversarial Machine Learning

      • Zhaofeng Liu, Yinchong Wang, Huashan Chen, Wenlian Lu
      Pages 187-201

  5. Dynamics, Network and Inference

    1. Front Matter

      Pages 203-203
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    2. Dismantling Interdependent Networks Based on Supra-Laplacian Energy

      • Wei Lin, Shuming Zhou, Min Li, Gaolin Chen
      Pages 205-213

    3. DWT-DQFT-Based Color Image Blind Watermark with QR Decomposition

      • Liangcheng Qin, Ling Ma, Xiongjun Fu
      Pages 214-224
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Other volumes

  1. Science of Cyber Security

Keywords

About this book

This book constitutes the proceedings of the Third International Conference on Science of Cyber Security, SciSec 2021, held in Shanghai, China, in August 2021.

The 17 full papers and  5 short papers presented in this volume were carefully reviewed and selected from  50 submissions.

These papers cover the following subjects: Cyber Security, Detection, Machine Learning and much more.

Editors and Affiliations

  • Fudan University, Shanghai, China

    Wenlian Lu

  • George Mason University, Fairfax, USA

    Kun Sun

  • Computer Science Department, Columbia University, New York, USA

    Moti Yung

  • Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

    Feng Liu

Bibliographic Information

  • Book Title: Science of Cyber Security

  • Book Subtitle: Third International Conference, SciSec 2021, Virtual Event, August 13–15, 2021, Revised Selected Papers

  • Editors: Wenlian Lu, Kun Sun, Moti Yung, Feng Liu

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-89137-4

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2021

  • Softcover ISBN: 978-3-030-89136-7Published: 10 October 2021

  • eBook ISBN: 978-3-030-89137-4Published: 09 October 2021

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 269

  • Number of Illustrations: 19 b/w illustrations, 75 illustrations in colour

  • Topics: Systems and Data Security

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