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RAID 2024

A

International Symposium on Recent Advances in Intrusion Detection

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44
accepted papers
183
authors
September 30 - October 2, 2024
dates
Italy
location

44 / 44 papers

  1. 1
    A Comprehensive, Automated Security Analysis of the Uptane Automotive Over-the-Air Update Framework
    Robert Lorch
    ,
    Daniel Larraz
    ,
    Cesare Tinelli
    ,
    Omar Chowdhury
  2. 2
    A Second Look at the Portability of Deep Learning Side-Channel Attacks over EM Traces
    Mabon Ninan
    ,
    Evan Nimmo
    ,
    Shane Reilly
    ,
    Channing Smith
    ,
    Wenhai Sun
    ,
    Boyang Wang
    ,
    John Marty Emmert
  3. 3
    ADAPT it! Automating APT Campaign and Group Attribution by Leveraging and Linking Heterogeneous Files
    Aakanksha Saha
    ,
    Jorge Blasco
    ,
    Lorenzo Cavallaro
    ,
    Martina Lindorfer
  4. 4
    AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images
    Jonas Ricker
    ,
    Dennis Assenmacher
    ,
    Thorsten Holz
    ,
    Asja Fischer
    ,
    Erwin Quiring
  5. 5
    AudiTrim: A Real-time, General, Efficient, and Low-overhead Data Compaction System for Intrusion Detection
    Hongbin Sun
    ,
    Su Wang
    ,
    Zhiliang Wang
    ,
    Zheyu Jiang
    ,
    Dongqi Han
    ,
    Jiahai Yang
  6. 6
    Beyond REST: Introducing APIF for Comprehensive API Vulnerability Fuzzing
    Yu Wang
    ,
    Yue Xu
  7. 7
    Blocklist-Forecast: Proactive Domain Blocklisting by Identifying Malicious Hosting Infrastructure
    Udesh Kumarasinghe
    ,
    Mohamed Nabeel
    ,
    Charitha Elvitigala
  8. 8
    BluePrint: Automatic Malware Signature Generation for Internet Scanning
    Kevin Stevens
    ,
    Mert Erdemir
    ,
    Hang Zhang
    ,
    Taesoo Kim
    ,
    Paul Pearce
  9. 9
    Breaking Privacy in Model-Heterogeneous Federated Learning
    Atharva Haldankar
    ,
    Arman Riasi
    ,
    Hoang-Dung Nguyen
    ,
    Tran Phuong
    ,
    Thang Hoang
  10. 10
    Catch You Cause I Can: Busting Rogue Base Stations using CellGuard and the Apple Cell Location Database
    Lukas Arnold
    ,
    Matthias Hollick
    ,
    Jiska Classen
  11. 11
    Context-Aware Anomaly Detection Using Vehicle Dynamics
    Chun-Yu (Daniel) Chen
    ,
    Kang G. Shin
    ,
    Soodeh Dadras
  12. 12
    Cross-Regional Malware Detection via Model Distilling and Federated Learning
    Marcus Botacin
    ,
    Heitor Murilo Gomes
  13. 13
    CrypTody: Cryptographic Misuse Analysis of IoT Firmware via Data-flow Reasoning
    Jianing Wang
    ,
    Shanqing Guo
    ,
    Wenrui Diao
    ,
    Yue Liu
    ,
    Haixin Duan
    ,
    Yichen Liu
    ,
    Zhenkai Liang
  14. 14
    Deception-Resistant Stochastic Manufacturing for Automated Production Lines
    Zeyu Yang
    ,
    Hongyi Pu
    ,
    Liang He
    ,
    Chengtao Yao
    ,
    Jianying Zhou
    ,
    Peng Cheng
    ,
    Jiming Chen
  15. 15
    Down to earth! Guidelines for DGA-based Malware Detection
    Bogdan-Constantin Cebere
    ,
    Jonathan Lasse Bennet Flueren
    ,
    Silvia Sebastián
    ,
    Daniel Plohmann
    ,
    Christian Rossow
  16. 16
    Efficiently Rebuilding Coverage in Hardware-Assisted Greybox Fuzzing
    Tai Yue
    ,
    Yibo Jin
    ,
    Fengwei Zhang
    ,
    Zhenyu Ning
    ,
    Pengfei Wang
    ,
    Xu Zhou
    ,
    Kai Lu
  17. 17
    Encrypted Endpoints: Defending Online Services from Illegitimate Bot Automation
    Richard August See
    ,
    Kevin Röbert
    ,
    Mathias Fischer
  18. 18
    Enhancing Model Poisoning Attacks to Byzantine-Robust Federated Learning via Critical Learning Periods
    Gang Yan
    ,
    Hao Wang
    ,
    Xu Yuan
    ,
    Jian Li
  19. 19
    Extending C2 Traffic Detection Methodologies: From TLS 1.2 to TLS 1.3-enabled Malware
    Diogo Barradas
    ,
    Carlos Novo
    ,
    Bernardo Portela
    ,
    Sofia Romeiro
    ,
    Nuno Santos
  20. 20
    Fixing Insecure Cellular System Information Broadcasts For Good
    Alexander J. Ross
    ,
    Bradley Reaves
    ,
    Yomna Nasser
    ,
    Gil Cukierman
    ,
    Roger Piqueras Jover
  21. 21
    From Victims to Defenders: An Exploration of the Phishing Attack Reporting Ecosystem
    Zhibo Sun
    ,
    Faris Bugra Kokulu
    ,
    Penghui Zhang
    ,
    Adam Oest
    ,
    Gianluca Stringhini
    ,
    Tiffany Bao
    ,
    Ruoyu Wang
    ,
    Yan Shoshitaishvili
    ,
    Adam Doupé
    ,
    Gail-Joon Ahn
  22. 22
    Gudifu: Guided Differential Fuzzing for HTTP Request Parsing Discrepancies
    Bahruz Jabiyev
    ,
    Anthony Gavazzi
    ,
    Kaan Onarlioglu
    ,
    Engin Kirda
  23. 23
    Hidden Web Caches Discovery
    Matteo Golinelli
    ,
    Bruno Crispo
  24. 24
    Honeyquest: Rapidly Measuring the Enticingness of Cyber Deception Techniques with Code-based Questionnaires
    Mario Kahlhofer
    ,
    Stefan Achleitner
    ,
    Stefan Rass
    ,
    René Mayrhofer
  25. 25
    How to Train your Antivirus: RL-based Hardening through the Problem Space
    Ilias Tsingenopoulos
    ,
    Jacopo Cortellazzi
    ,
    Branislav Bosanský
    ,
    Simone Aonzo
    ,
    Davy Preuveneers
    ,
    Wouter Joosen
    ,
    Fabio Pierazzi
    ,
    Lorenzo Cavallaro
  26. 26
    Integrating Static Analyses for High-Precision Control-Flow Integrity
    Florian Kasten
    ,
    Philipp Zieris
    ,
    Julian Horsch
  27. 27
    KernJC: Automated Vulnerable Environment Generation for Linux Kernel Vulnerabilities
    Bonan Ruan
    ,
    Jiahao Liu
    ,
    Chuqi Zhang
    ,
    Zhenkai Liang
  28. 28
    KGDist: A Prompt-Based Distillation Attack against LMs Augmented with Knowledge Graphs
    Hualong Ma
    ,
    Peizhuo Lv
    ,
    Kai Chen
    ,
    Jiachen Zhou
  29. 29
    Large-Scale Security Analysis of Real-World Backend Deployments Speaking IoT-Focused Protocols
    Carlotta Tagliaro
    ,
    Martina Komsic
    ,
    Andrea Continella
    ,
    Kevin Borgolte
    ,
    Martina Lindorfer
  30. 30
    Leveraging Deep Reinforcement Learning for Cyber-Attack Paths Prediction: Formulation, Generalization, and Evaluation
    Franco Terranova
    ,
    Abdelkader Lahmadi
    ,
    Isabelle Chrisment
  31. 31
    Mateen: Adaptive Ensemble Learning for Network Anomaly Detection
    Fahad M. Alotaibi
    ,
    Sergio Maffeis
  32. 32
    No Need for Details: Effective Anomaly Detection for Process Control Traffic in Absence of Protocol and Attack Knowledge
    Franka Schuster
    ,
    Hartmut König
  33. 33
    Obfuscating Provenance-Based Forensic Investigations with Mapping System Meta-Behavior
    Anyuan Sang
    ,
    Yuchen Wang
    ,
    Li Yang
    ,
    Junbo Jia
    ,
    Lu Zhou
  34. 34
    Prob-Hashcat: Accelerating Probabilistic Password Guessing with Hashcat by Hundreds of Times
    Ziyi Huang
    ,
    Ding Wang
    ,
    Yunkai Zou
  35. 35
    Replay-resistant Disk Fingerprinting via Unintentional Electromagnetic Emanations
    Wenfan Song
    ,
    Jianwei Liu
    ,
    Yajie Liu
    ,
    Jinsong Han
  36. 36
    Security of Cross-chain Bridges: Attack Surfaces, Defenses, and Open Problems
    Mengya Zhang
    ,
    Xiaokuan Zhang
    ,
    Yinqian Zhang
    ,
    Zhiqiang Lin
  37. 37
    Tango: Extracting Higher-Order Feedback through State Inference
    Ahmad Hazimeh
    ,
    Duo Xu
    ,
    Qiang Liu
    ,
    Yan Wang
    ,
    Mathias Payer
  38. 38
    The "Big Beast to Tackle": Practices in Quality Assurance for Cyber Threat Intelligence
    Thomas Geras
    ,
    Thomas Schreck
  39. 39
    The 27th International Symposium on Research in Attacks, Intrusions and Defenses, RAID 2024, Padua, Italy, 30 September 2024- 2 October 2024
    Eleonora Losiouk
    ,
    Alessandro Brighente
    ,
    Mauro Conti
    ,
    Yousra Aafer
    ,
    Yanick Fratantonio
  40. 40
    Understanding Web Fingerprinting with a Protocol-Centric Approach
    Bogdan Cebere
    ,
    Christian Rossow
  41. 41
    Unraveling the Web of Disinformation: Exploring the Larger Context of State-Sponsored Influence Campaigns on Twitter
    Mohammad Hammas Saeed
    ,
    Shiza Ali
    ,
    Pujan Paudel
    ,
    Jeremy Blackburn
    ,
    Gianluca Stringhini
  42. 42
    VeriFence: Lightweight and Precise Spectre Defenses for Untrusted Linux Kernel Extensions
    Luis Gerhorst
    ,
    Henriette Herzog
    ,
    Peter Wägemann
    ,
    Maximilian Ott
    ,
    Rüdiger Kapitza
    ,
    Timo Hönig
  43. 43
    What do malware analysts want from academia? A survey on the state-of-the-practice to guide research developments
    Marcus Botacin
  44. 44
    You Might Have Known It Earlier: Analyzing the Role of Underground Forums in Threat Intelligence
    Tommaso Paladini
    ,
    Lara Ferro
    ,
    Mario Polino
    ,
    Stefano Zanero
    ,
    Michele Carminati