Annual Computer Security Applications Conference（ACSAC）会议关注计算机应用安全领域的研究工作，与DSN, ESORICS和RAID并称为网络与信息安全领域的“四小安全顶级会议”（简称四小），代表着国际网络与信息安全学术研究的最高水平。ACSAC 2022年共收到论文303篇(2021:326, 2020:300, 2019:266, 2018:299)，录取73篇(2021:80, 2020:70, 2019:60, 2018:60)，录用率为24.09%(2021:24.5%, 2020:23.33%, 2019:22.56%, 2018:20.1%)，所有录用论文标题如下：

国内包含南京大学、中科院软件所、中科院自动化所、中科院信工所、中国矿业大学、复旦大学、武汉大学、华中科技大学、西安电子科技大学、国防科技大学、香港科技大学、浙江大学、上海交通大学等高校都有录用论文，可以看出国内论文的录用数量上升较快，传统的Web安全和网络安全分类论文整体数量较少，部分小编感兴趣的论文标题已经标红：

CPS and IoT I

• Privacy-Preserving Trajectory Matching on Autonomous Unmanned Aerial Vehicles

Savio Sciancalepore, Eindhoven University of Technology (TU/e); Dominik Roy George, Eindhoven University of Technology (TU/e)

• DRAGON: Deep Reinforcement Learning for Autonomous Grid Operation and Attack Detection

Matthew Landen, Georgia Institute of Technology; Keywhan Chung, Lawrence Livermore National Laboratory; Moses Ike, Georgia Institute of Technology; Sarah Mackay, Lawrence Livermore National Laboratory; Jean-Paul Watson, Lawrence Livermore National Laboratory; Wenke Lee, Georgia Institute of Technology

• Randezvous: Making Randomization Effective on MCUs

Zhuojia Shen, University of Rochester; Komail Dharsee, University of Rochester; John Criswell, University of Rochester

• Local Power Grids at Risk – An Experimental and Simulation-based Analysis of Attacks on Vehicle-To-Grid Communication

Maria Zhdanova, Fraunhofer SIT; Julian Urbansky, Fraunhofer UMSICHT; Anne Hagemeier, Fraunhofer UMSICHT; Daniel Zelle, Fraunhofer SIT; Isabelle Herrmann, Fraunhofer UMSICHT; Dorian Höffner, Fraunhofer UMSICHT

• Play the Imitation Game: Model Extraction Attack against Autonomous Driving Localization

Qifan Zhang, University of California, Irvine; Junjie Shen, University of California, Irvine; Mingtian Tan, Fudan University; Zhe Zhou, Fudan University; Zhou Li, University of California, Irvine; Qi Alfred Chen, University of California, Irvine; Haipeng Zhang, ShanghaiTech University

CPS and IoT II

• Assessing Model-free Anomaly Detection in Industrial Control Systems Against Generic Concealment Attacks

Alessandro Erba, CISPA Helmholtz Center for Information Security; Nils Ole Tippenhauer, CISPA Helmholtz Center for Information Security

• SPACELORD: Private and Secure Smart Space Sharing

Yechan Bae, Georgia Institute of Technology; Sarbartha Banerjee, University of Texas at Austin; Sangho Lee, Microsoft Research; Marcus Peinado, Microsoft Research

• BayesImposter: Bayesian Estimation Based .bss Imposter Attack on Industrial Control Systems

Anomadarshi Barua, University of California, Irvine; Lelin Pan, University of California, Irvine; Mohammad Abdullah Al Faruque, University of California, Irvine

• Ripples in the Pond: Transmitting Information through Grid Frequency Modulation

Jan Götte, TU Darmstadt; Liran Katzir, Tel Aviv University; Björn Scheuermann, TU Darmstadt

• Stepping out of the MUD: Contextual threat information for IoT devices with manufacturer-provided behavior profiles

Luca Morgese Zangrandi, TNO; Thijs van Ede, University of Twente; Tim Booij, TNO; Savio Sciancalepore, Eindhoven University of Technology; Luca Allodi, Eindhoven University of Technology; Andrea Continella, University of Twente

Deployable Trustworthy Systems

• Towards Practical Application-level Support for Privilege Separation

Nik Sultana, Illinois Institute of Technology; Henry Zhu, UIUC; Ke Zhong, University of Pennsylvania; Zhilei Zheng, University of Pennsylvania; Ruijie Mao, University of Pennsylvania; Digvijaysinh Chauhan, University of Pennsylvania; Stephen Carrasquillo, University of Pennsylvania; Junyong Zhao, University of Arizona; Lei Shi, University of Pennsylvania; Nikos Vasilakis, Brown University and MIT; Boon Thau Loo, University of Pennsylvania

• Formal Modeling and Security Analysis for Intra-level Privilege Separation

Yinggang Guo, State Key Laboratory for Novel Software Technology, Nanjing University; Zicheng Wang, State Key Laboratory for Novel Software Technology, Nanjing University; Bingnan Zhong, State Key Laboratory for Novel Software Technology, Nanjing University; Qingkai Zeng, State Key Laboratory for Novel Software Technology, Nanjing University

• Designing a Provenance Analysis for SGX Enclaves Flavio Toffalini, EPFL; Mathias Payer, EPFL; Jianying Zhou, Singapore University of Technology and Design; Lorenzo Cavallaro, University College London

• Cloak: Transitioning States on Legacy Blockchains Using Secure and Publicly Verifiable Off-Chain Multi-Party Computation

Qian Ren, SSC Holding Company Ltd., Oxford-Hainan Blockchain Research Institute; Yingjun Wu, SSC Holding Company Ltd., Oxford-Hainan Blockchain Research Institute; Han Liu, Oxford-Hainan Blockchain Research Institute, Tsinghua University; Yue Li, Oxford-Hainan Blockchain Research Institute; Anne Victor, SSC Holding Company Ltd., Oxford-Hainan Blockchain Research Institute; Hong Lei, Hainan University, Oxford-Hainan Blockchain Research Institute; Lei Wang, Shanghai Jiao Tong University; Bangdao Chen, SSC Holding Company Ltd., Oxford-Hainan Blockchain Research Institute

• Stopping Silent Sneaks: Defending against Malicious Mixes with Topological Engineering

Xinshu Ma, University of Edinburgh; Florentin Rochet, University of Namur; Tariq Elahi, University of Edinburgh

Machine Learning I

• Learning from Failures: Secure and Fault-Tolerant Aggregation for Federated Learning

Mohamad Mansouri, Thales SIX GTS / EURECOM; Melek Önen, EURECOM; Wafa Ben Jaballah, Thales SIX GTS

• Compressed Federated Learning Based on Adaptive Local Differential Privacy

Yinbin Miao, Xidian University; Rongpeng Xie, Xidian University; Xinghua Li, Xidian University; Ximeng Liu, Fuzhou University; Zhuo Ma, Xidian University; Robert H. Deng, Singapore Management University

• SpacePhish: The Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning

Giovanni Apruzzese, University of Liechtenstein; Mauro Conti, University of Padua; Ying Yuan, University of Padua

• Curiosity-Driven and Victim-Aware Adversarial Policies

Chen Gong, Institute of Automation, Chinese Academy of Sciences; Zhou Yang, Singapore Management University; Yunpeng Bai, Institute of Automation, Chinese Academy of Sciences; Jieke Shi, Singapore Management University; Arunesh Sinha, Rutgers University; Bowen Xu, Singapore Management University; David Lo, Singapore Management University; Xinwen Hou, Institute of Automation, Chinese Academy of Sciences; Guoliang Fan, Institute of Automation, Chinese Academy of Sciences

• Better Together: Attaining the Triad of Byzantine-robust Federated Learning via Local Update Amplification

Liyue Shen, University of Queensland; Yanjun Zhang, Deakin University; Jingwei Wang, University of Queensland; Guangdong Bai, University of Queensland

Machine Learning II

• AFLGuard: Byzantine-robust Asynchronous Federated Learning

Minghong Fang, The Ohio State University; Jia Liu, The Ohio State University; Neil Zhenqiang Gong, Duke University; Elizabeth S. Bentley, Air Force Research Laboratory

• Squeezing More Utility via Adaptive Clipping on Differentially Private Gradients in Federated Meta-Learning

Ning Wang, Virginia Polytechnic Institute and State University; Yang Xiao, University of Kentucky; Yimin Chen, University of Massachusetts Lowell; Ning Zhang, Washington University in St. Louis; Wenjing Lou, Virginia Polytechnic Institute and State University; Y. Thomas Hou, Virginia Polytechnic Institute and State University

• Drone Authentication via Acoustic Fingerprint

Yufeng Diao, University of Glasgow; Yichi Zhang, University of Glasgow; Guodong Zhao, University of Glasgow; Mohamed Khamis, University of Glasgow

• NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks

Nuo Xu, Lehigh University; Binghui Wang, Illinois Institute of Technology; Ran Ran, Lehigh University; Wujie Wen, Lehigh University; Parv Venkitasubramaniam, Lehigh University

• More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks

Jing Xu, TU Delft; Rui Wang, TU Delft; Stefanos Koffas, TU Delft; Kaitai Liang, TU Delft; Stjepan Picek, Radboud University & TU Delft

Malware

• MProbe: Make the code probing meaningless

YongGang Li, China University of Mining and Technology; Yeh-Ching Chung, the Chinese University of Hong Kong (CUHK), Shenzhen; Jinbiao Xing, China University of Mining and Technology; Yu Bao, China University of Mining and Technology; GuoYuan LIn, China University of Mining and Technology

• DitDetector: Bimodal Learning based on Deceptive Image and Text for Macro Malware Detection

Jia Yan, Institute of Software, Chinese Academy of Sciences / School of Computer Science and Technology, University of Chinese Academy of Sciences; Ming Wan, QIANXIN Group Inc.; Xiangkun Jia, Institute of Software, Chinese Academy of Sciences; Lingyun Ying, QIANXIN Group Inc.; Purui Su, Institute of Software, Chinese Academy of Sciences / School of Cyber Security, University of Chinese Academy of Sciences; Zhanyi Wang, QIANXIN Group Inc.

• View from Above: Exploring the Malware Ecosystem from the Upper DNS Hierarchy

Aaron Faulkenberry, Georgia Institute of Technology; Athanasios Avgetidis, Georgia Institute of Technology; Zane Ma, Georgia Institute of Technology; Omar Alrawi, Georgia Institute of Technology; Charles Lever, Devo; Panagiotis Kintis, Voreas Laboratories Inc; Fabian Monrose, Georgia Institute of Technology; Angelos D. Keromytis, Georgia Institute of Technology; Manos Antonakakis, Georgia Institute of Technology

• A Recent Year On the Internet: Measuring and Understanding the Threats to Everyday Internet Devices

Afsah Anwar, Northeastern University; Yi Hui Chen, Northeastern University; Roy Hodgman, Rapid 7; Tom Sellers, runZero; Engin Kirda, Northeastern University; Alina Oprea, Northeastern University

• Make Data Reliable : An Explanation-powered Cleaning on Malware Dataset Against Backdoor Poisoning Attacks

Xutong Wang, Institute of Information Engineering, Chinese Academy of Sciences; Chaoge Liu, Institute of Information Engineering, Chinese Academy of Sciences; Xiaohui Hu, School of Computer Science, Beijing University of Posts and Telecommunications; Zhi Wang, Institute of Information Engineering, Chinese Academy of Sciences; Jie Yin, Institute of Information Engineering, Chinese Academy of Sciences; Xiang Cui, Zhongguancun Laboratory

Applied Crypto, Privacy, and Anonymity

• Reconstruction Attack on Differential Private Trajectory Protection Mechanisms

Erik Buchholz, UNSW Sydney; Alsharif Abuadbba, Data61, CSIRO; Shuo Wang, Data61, CSIRO; Surya Nepal, Data61, CSIRO; Salil S. Kanhere, UNSW Sydney

• Differentially Private Map Matching for Mobility Trajectories

Ammar Haydari, University of California, Davis; Chen-Nee Chuah, University of California, Davis; Michael Zhang, University of California, Davis; Jane Macfarlane, University of California, Berkeley; Sean Peisert, Lawrence berkeley national laboratory

• Parallel Small Polynomial Multiplication for Dilithium: A Faster Design and Implementation

Jieyu Zheng, Fudan university; Feng He, Fudan university; Shiyu Shen, Fudan university; Chenxi Xue, Fudan university; Yunlei Zhao, Fudan university

• CryptoGo: Automatic Detection of Go Cryptographic API Misuses

Wenqing Li, The Institute of Information Engineering, Chinese Acadamy of Sciences.; Shijie Jia, The Institute of Information Engineering, Chinese Acadamy of Sciences.; Limin Liu, The Institute of Information Engineering, Chinese Acadamy of Sciences.; Fangyu Zheng, The Institute of Information Engineering, Chinese Acadamy of Sciences.; Yuan Ma, The Institute of Information Engineering, Chinese Acadamy of Sciences.; Jingqiang Lin, School of Cyber Security, University of Science and Technology of China.

• Closing the Loophole: Rethinking Reconstruction Attacks in Federated Learning from a Privacy Standpoint

Seung Ho Na, KAIST; Hyeong Gwon Hong, KAIST; Junmo Kim, KAIST; Seungwon Shin, KAIST

Software Security I

• TyPro: Forward CFI for C-Style Indirect Function Calls Using Type Propagation

Markus Bauer, CISPA – Helmholtz Center for Information Security; Ilya Grishchenko, University of California, Santa Barbara; Christian Rossow, CISPA – Helmholtz Center for Information Security

• Practical Binary Code Similarity Detection with BERT-based Transferable Similarity Learning

Sunwoo Ahn, Seoul National University; Seonggwan Ahn, Seoul National University; Hyungjoon Koo, Sungkyunkwan University; Yunheung Paek, Seoul National University

• Snappy: Efficient Fuzzing with Adaptive and Mutable Snapshots

Elia Geretto, Vrije Universiteit Amsterdam; Cristiano Giuffrida, Vrije Universiteit Amsterdam; Herbert Bos, Vrije Universiteit Amsterdam; Erik van der Kouwe, Vrije Universiteit Amsterdam

• One Fuzz Doesn’t Fit All: Optimizing Directed Fuzzing via Target-tailored Program State Restriction

Prashast Srivastava, Purdue University; Stefan Nagy, University of Utah; Matthew Hicks, Virginia Tech; Antonio Bianchi, Purdue University; Mathias Payer, EPFL

• From Hindsight to Foresight: Enhancing Design Artifacts for Business Logic Flaw Discovery

Carmen Cheh, Advanced Digital Sciences Center, Singapore; Nicholas Tay, Singapore University of Technology and Design; Binbin Chen, Singapore University of Technology and Design

Software Security II

• Transformer-Based Language Models for Software Vulnerability Detection

Chandra Thapa, CSIRO Data61; Seung Ick Jang, CSIRO Data61; Muhammad Ejaz Ahmed, CSIRO Data61; Seyit Camtepe, CSIRO Data61; Josef Pieprzyk, CSIRO Data61; Surya Nepal, CSIRO Data61

• Compact Abstract Graphs for Detecting Code Vulnerability with GNN Models

Yu Luo, University of Missouri - Kansas City; Weifeng Xu, The University of Baltimore; Dianxiang Xu, University of Missouri - Kansas City

• Boosting Neural Networks to Decompile Optimized Binaries

Ying Cao, Institute of Information Engineering, Chinese Academy of Sciences; Ruigang Liang, Institute of Information Engineering, Chinese Academy of Sciences; Kai Chen, Institute of Information Engineering, Chinese Academy of Sciences; Peiwei Hu, Institute of Information Engineering, Chinese Academy of Sciences

• SLOPT: Bandit Optimization Framework for Mutation-Based Fuzzing

Yuki Koike, Ricerca Security, Inc.; Hiroyuki Katsura, Ricerca Security, Inc.; Hiromu Yakura, University of Tsukuba / National Institute of Advanced Industrial Science and Technology (AIST), Japan; Yuma Kurogome, Ricerca Security, Inc.

• Alphuzz: Monte Carlo Search on Seed-Mutation Tree for Coverage-Guided Fuzzing

Yiru Zhao, Wuhan university; Xiaoke Wang, Wuhan university; Lei Zhao, Wuhan university; Yueqiang Cheng, NIO Security Research; Heng Yin, UC Riverside

Mobile and Wireless Security

• On the Implications of Spoofing and Jamming Aviation Datalink Applications

Harshad Sathaye, Northeastern University; Guevara Noubir, Northeastern University; Aanjhan Ranganathan, Northeastern University

• You have been warned: Abusing 5G’s Warning and Emergency Systems

Evangelos Bitsikas, New York University Abu Dhabi and Northeastern University; Christina Pöpper, New York University Abu Dhabi

• Analysis of Payment Service Provider SDKs in Android

Samin Yaseer Mahmud, North Carolina State University; K. Virgil English, North Carolina State University; Seaver Thorn, North Carolina State University; William Enck, North Carolina State University; Adam Oest, PayPal; Muhammad Saad, PayPal

Usability and Human-Centered Security

• User Perceptions of the Privacy and Usability of Smart DNS

Rahel A. Fainchtein, Georgetown University; Adam J. Aviv, The George Washington University; Micah Sherr, Georgetown University

• User Perceptions of Five-Word Passwords

Xiaoyuan Wu, The George Washington University; Collins W. Munyendo, The George Washington University; Eddie Cosic, The George Washington University; Genevieve A. Flynn, The George Washington University; Olivia Legault, The George Washington University; Adam J. Aviv, The George Washington University

• A Qualitative Evaluation of Reverse Engineering Tool Usability

James Mattei, Tufts University; Madeline McLaughlin, Tufts University; Samantha Katcher, Tufts University; Daniel Votipka, Tufts University

Network Security

• ZeroDNS: Towards Better Zero Trust Security using DNS

Levente Csikor, Institute for Infocomm Research, ASTAR; Sriram Ramachandran, Institute for Infocomm Research, ASTAR; Anantharaman Lakshminarayanan, Institute for Infocomm Research, A*STAR

• Are There Wireless Hidden Cameras Spying on Me?

Jeongyoon Heo, Samsung Research; Sangwon Gil, Samsung Research; Youngman Jung, Samsung Research; Jinmok Kim, Samsung Research; Donguk Kim, Samsung Research; Woojin Park, Samsung Research; Yongdae Kim, KAIST; Kang G. Shin, The University of Michigan; Choong-Hoon Lee, Samsung Research

• If You Can’t Beat Them, Pay Them: Bitcoin Protection Racket is Profitable

Zheng Yang, Southwest University; Chao Yin, Vrije University Amsterdam, Netherlands; Junming Ke, University of Tartu; Anh Dinh, Singapore University of Technology and Design; Jianying Zhou, Singapore University of Technology and Design

• Interaction matters: a comprehensive analysis and a dataset of hybrid IoT/OT honeypots

Shreyas Srinivasa, Aalborg University; Jens Myrup Pedersen, Aalborg University; Emmanouil Vasilomanolakis, Technical University of Denmark

• StateDiver: Testing Deep Packet Inspection Systems with State-Discrepancy Guidance

Zhechang Zhang, Huazhong University of Science and Technology; Bin Yuan, Huazhong University of Science and Technology; Kehan Yang, Huazhong University of Science and Technology; Deqing Zou, Huazhong University of Science and Technology; Hai Jin, Huazhong University of Science and Technology

Anomaly, Intrusion, and Threat Detection

• MADDC: Multi-Scale Anomaly Detection, Diagnosis and Correction for Discrete Event Logs

xiaolei Wang, College of Computer, National University of Defense Technology; Lin Yang, National Key Laboratory of Science and Technology on Information System Security, Systems Engineering Institute, AMS; Dongyang Li, National Key Laboratory of Science and Technology on Information System Security, Systems Engineering Institute, AMS; Linru Ma, National Key Laboratory of Science and Technology on Information System Security, Systems Engineering Institute, AMS; Yongzhong He, School of Computer and Information Technology,Beijing Jiaotong University; Junchao Xiao, School of Systems Science and Engineering, Sun Yat-Sen University; Jiyuan Liu, College of Computer, National University of Defense Technology; Yuexiang Yang, College of Computer, National University of Defense Technology

• ENIDrift: A Fast and Adaptive Ensemble System for Network Intrusion Detection under Real-world Drift

Xian Wang, The Hong Kong University of Science and Technology

• Towards Enhanced EEG-based Authentication with Motor Imagery Brain-Computer Interface

Bingkun Wu, Technical University of Denmark, Denmark; Weizhi Meng, Technical University of Denmark, Denmark; Wei-Yang Chiu, Technical University of Denmark, Denmark

• FAuST: Striking a Bargain between Forensic Auditing’s Security and Throughput

Muhammad Adil Inam, University of Illinois at Urbana-Champaign; Akul Goyal, University of Illinois at Urbana-Champaign; Jason Liu, University of Illinois at Urbana-Champaign; Jaron Mink, University of Illinois at Urbana-Champaign; Noor Michael, University of Illinois at Urbana-Champaign; Sneha Gaur, University of Illinois at Urbana-Champaign; Adam Bates, University of Illinois at Urbana-Champaign; Wajih Ul Hassan, University of Virginia

• RAPID: Real-Time Alert Investigation with Context-aware Prioritization for Efficient Threat Discovery

Yushan Liu, Google, Inc.; Xiaokui Shu, IBM Research; Yixin Sun, University of Virginia; Jiyong Jang, IBM Research; Prateek Mittal,

OS Security I

• DF-SCA: Dynamic Frequency Side Channel Attacks are Practical

Debopriya Roy Dipta, Iowa State University; Berk Gulmezoglu, Iowa State University

• POPKORN: Popping Windows Kernel Drivers At Scale

Rajat Gupta, Georgia Institute of Technology; Lukas Dresel, University of California, Santa Barbara; Noah Spahn, University of California, Santa Barbara; Giovanni Vigna, University of California, Santa Barbara; Christopher Kruegel, University of California, Santa Barbara; Taesoo Kim, Georgia Institute of Technology

• Making Memory Account Accountable: Analyzing and Detecting Memory Missing-account bugs for Container Platforms

Yutian Yang, Zhejiang University; Wenbo Shen, Zhejiang University; Xun Xie, Zhejiang University; Kangjie Lu, Zhejiang University; Mingsen Wang, Zhejiang University; Tianyu Zhou, Zhejiang University; Chenggang Qin, Ant Group; Wang Yu, Ant Group; Kui Ren, Zhejiang University

OS Security II

• CoCoTPM: Trusted Platform Modules for Virtual Machines in Confidential Computing Environments

Joana Pecholt, Fraunhofer AISEC; Sascha Wessel, Fraunhofer AISEC

• iService: Detecting and Evaluating the Impact of Confused Deputy Problem in AppleOS

Yizhuo Wang, Shanghai Jiao Tong University; Yikun Hu, Shanghai Jiao Tong University; Xuangan Xiao, Shanghai Jiao Tong University; Dawu Gu, Shanghai Jiao Tong University

• MoLE: Mitigation of Side-channel Attacks against SGX via Dynamic Data Location Escape

Fan Lang, State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences; School of Cyber Security, University ; Wei Wang, State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences; Lingjia Meng, State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences; School of Cyber Security, University ; Jingqiang Lin, University of Science and Technology of China; Qiongxiao Wang, State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences; Linli Lu, State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences

Web Security

• DeView: Confining Progressive Web Applications by Debloating Web APIs

ChangSeok Oh, Georgia Institute of Technology; Sangho Lee, Microsoft Research; Chenxiong Qian, HKU; Hyungjoon Koo, Sungkyunkwan University; Wenke Lee, Georgia Institute of Technology

• No Signal Left to Chance: Driving Browser Extension Analysis by Download Patterns

Pablo Picazo, Chalmers University of Technology; Benjamin Eriksson, Chalmers University of Technology; Andrei Sabelfeld, Chalmers University of Technology

• Accept all Exploits: Exploring the Security Impact of Cookie Banners

David Klein, Technische Universität Braunschweig; Marius Musch, Technische Universität Braunschweig; Thomas Barber, SAP Security Research; Moritz Kopmann, Technische Universität Braunschweig; Martin Johns, Technische Universität Braunschweig

Resilience and Data Protection

• Trebiz: Byzantine Fault Tolerance with Byzantine Merchants

Xiaohai Dai, Huazhong University of Science and Technology; Liping Huang, Huazhong University of Science and Technology; Jiang Xiao, Huazhong University of Science and Technology; Zhaonan Zhang, Huazhong University of Science and Technology; Xia Xie, Hainan University; Hai Jin, Huazhong University of Science and Technology

• ArchiveSafe LT: Secure Long-term Archiving System

Moe Sabry, McMaster University; Reza Samavi, Toronto Metropolitan University

• Heimdallr: Fingerprinting SD-WAN Control-Plane Architecture via Encrypted Control Traffic

Minjae Seo, The Affiliated Institute of ETRI; Jaehan Kim, KAIST; Eduard Marin, Telefonica Research; Myeongsung You, KAIST; Taejune Park, Chonnam National University; Seungsoo Lee, Incheon National University; Seungwon Shin, KAIST; Jinwoo Kim

论文下载：https://dl.acm.org/doi/proceedings/10.1145/3564625
会议主页：https://www.acsac.org/

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