Jun Han (한 준)

About me

I am an Associate Professor in the School of Computing at KAIST. I lead the Cyber-Physical Systems and Security (CyPhy) Lab. Prior to joining KAIST, I had an appointment at the Department of Computer Science, School of Computing at the National University of Singapore, and the School of Electrical and Electronic Engineering at Yonsei University. My research interests are in the intersection of sensing systems and security, and focus on utilizing contextual information for security applications in the Internet-of-Things (IoT) and Cyber-Physical Systems (CPS). 

I obtained my Ph.D. in Electrical and Computer Engineering at Carnegie Mellon University under the supervision of Professor Patrick Tague in 2018. I was a member of CMU's Mobile, Embedded, & Wireless Security (MEWS) group and CyLab. I received M.S. and B.S. degrees from the ECE Department at CMU in 2007 and 2006, respectively.

To prospective students:

I am hiring new graduate students (M.S./Ph.D. students), undergraduate interns, and post-doctoral researchers. I am looking for motivated and passionate students to work on exciting research projects! Please contact me if you are interested.

세계를 선도하는 최고 수준 연구에 참여하고 싶으신 분들은 (학부/석사/박사/포닥) 연락 바랍니다.

Current and Past Affiliations

Research Interests

- Sensing and Mobile Systems
- Emerging Systems (Vehicles, Drones, Wireless, and Embedded Systems)
- Internet-of-Things (IoT) and IoT Security
- Cyber-Physical Systems (CPS) and CPS Security
- Sensor and Actuator Networks 

In my research group, we propose Physics-guided Computing, a novel computing paradigm that is at the intersection of mobile/sensing systems and security. My research group focuses on utilizing physical context for security applications in the Internet-of-Things and Cyber-Physical Systems. Specifically, we focus on enabling cross-platform devices (dissimilar in hardware, vendor, and/or sensor types) to verify relative physical properties and subsequently coordinate across verified devices, hence enabling novel methods of sensor fusion for new security applications.

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Selected Publications

   We publish Top Conference [Top Conf] papers in:

>> Complete publication list available here.
>> Google Scholar Profile: https://bit.ly/JunHan_Google_Scholar

[HotMobile'24] ImpacTile: Tile-level Localization for the Visually Impaired using Structural Uniqueness (To appear)
Cherry Kim, Seongjin Wang, Dongjun Kim, Shijia Pan, and Jun Han
ACM International Workshop on Mobile Computing Systems and Applications

[Top Conf: Sen] [SenSys'23] Testing Masks and Air Filters With Your Smartphones
Bangjie Sun, Kanav Sabharwal, Gyuyeon Kim, Mun Choon Chan, and Jun Han
ACM Conference on Embedded Networked Sensor Systems
Acceptance Rate: 18.9% (34 of 179)
[ paper | slides ]

[Top Conf: Mob] [MobiCom'23] MagTracer: Detecting GPU Cryptojacking Attacks via Magnetic Leakage Signals
Rui Xiao, Tianyu Li, Soundarya Ramesh, Jun Han*, and Jinsong Han* (*co-corresponding)
ACM International Conference On Mobile Computing And Networking
Acceptance Rate: 24.4% (92 of 377)
[ paper ]

[Top Conf: Ubi] [UbiComp'23/IMWUT] Don't Weight to Board: Augmenting Vision-based Passenger Weight Prediction via Viscoelastic Mat
Jong Taek Lee, Yu Kai Lim, Shijia Pan, and Jun Han
ACM International Joint Conference on Pervasive and Ubiquitous Computing
[ paper ]

[HotMobile'23] RampScope: Ramp-level Localization of Shared Mobility Devices using Sidewalk Ramps
Jonghyuk Yun, Gyuyeon Kim, Soundarya Ramesh, and Jun Han
ACM International Workshop on Mobile Computing Systems and Applications
[ paper | slides ]
*BEST POSTER AWARD (*Poster accompanied full paper)

[HotMobile'23] ThermWare: Towards Side-channel Defense for Tiny IoT Devices
Nakul Garg, Irtaza Shahid, Erin Avllazagaj, Jennie Hill, Jun Han, and Nirupam Roy
ACM International Workshop on Mobile Computing Systems and Applications
[ paper ]

[Top Conf: Sec] [CCS'22] TickTock: Detecting Microphone Status in Laptops Leveraging Electromagnetic Leakage of Clock Signals
Soundarya Ramesh,  Ghozali Suhariyanto Hadi, Sihun Yang, Mun Choon Chan, and Jun Han
ACM Conference on Computer and Communications Security
Acceptance Rate: 22.4% (218 of 972)
[ paper | slides ]

[Top Conf: Mob] [MobiSys'22] Detecting Counterfeit Liquid Food Products in a Sealed Bottle Using a Smartphone Camera
Bangjie Sun, Sean Rui Xiang Tan, Zhiwei Ren, Mun Choon Chan, Jun Han
ACM International Conference on Mobile Systems, Applications, and Services
Acceptance Rate: 21.6% (38 of 176)
[ paper | slides | video | teaser | project website ]
*BEST POSTER AWARD (*Poster accompanied full paper)
Featured on several Korean major news/media including: YTN (video), Chosun, Boan News, DongA, and more. 

[Top Conf: Ubi] [UbiComp'22/IMWUT] On Privacy Risks of Watching YouTube over Cellular Networks with Carrier Aggregation
Nitya Lakshmanan, Abdelhak Bentley, Byoungjun Choi, Roger Zimmermann, Jun Han, and Min Suk Kang
ACM International Joint Conference on Pervasive and Ubiquitous Computing
[ paper | slides ]

[HotMobile'22] EarWalk: Towards Walking Posture Identification using Earables
Nan Jiang, Terence Sim, and Jun Han
ACM International Workshop on Mobile Computing Systems and Applications
[ paper | slides | video ]

[Top Conf: Sen] [SenSys'21] LAPD: Hidden Spy Camera Detection using Smartphone Time-of-Flight Sensors
Sriram Sami, Sean Rui Xiang Tan, Bangjie Sun, and Jun Han
ACM Conference on Embedded Networked Sensor Systems
Acceptance Rate: 18.0% (29 of 139)
[ paper* | slides | video | demo vid | teaser | project website ]
*Most downloaded paper across all years of ACM SenSys publications until present [ link ]
*Top 3rd most downloaded paper across all years of ACM Sigmobile publications until present [ link ]
Featured on several news/media including: Forbes, The Register, Y Combinator's Hacker News, and Techlog360.

[Top Conf: Sec] [USENIX Security'21] Acoustics to the Rescue: Physical Key Inference Attack Revisited
Soundarya Ramesh, Rui Xiao, Anindya Maiti, Jong Taek Lee, Ananda Kumar, Harini Ramprasad, Murtuza Jadliwala, and Jun Han
USENIX Security Symposium
Acceptance Rate: 18.7% (246 of 1316)
[ paper | slides | video ]

[Top Conf: Sec] [USENIX Security'21] A Stealthy Location Identification Attack Exploiting Carrier Aggregation in Cellular Networks
Nitya Lakshmanan, Nishant Budhdev, Min Suk Kang, Mun Choon Chan, and Jun Han
USENIX Security Symposium
Acceptance Rate: 18.7% (246 of 1316)
[ paper | slides | video ]
*GSMA MOBILE SECURITY HALL OF FAME

[Top Conf: Mob] [MobiSys'21] FastZIP: Faster and More Secure Zero-Interaction Pairing
Mikhail Fomichev, Julia Hesse*, Lars Almon, Timm Lippert, Jun Han*, and Matthias Hollick* (*co-corresponding)
ACM International Conference on Mobile Systems, Applications, and Services
Acceptance Rate: 21.7% (36 of 166)
[ paper | teaser | video ]

[Top Conf: Sen] [SenSys'20] Spying with Your Robot Vacuum Cleaner: Eavesdropping via Lidar Sensors
Sriram Sami, Yimin Dai, Sean Tan Rui Xiang, Nirupam Roy, and Jun Han
ACM Conference on Embedded Networked Sensor Systems
Acceptance Rate: 20.2% (43 of 213)
[ paper | slides | teaser | video ]
Featured on several news/media including: Forbes, ZDNet, Hacker.io, ThreatPost, Slashdot, Boan News (Korean), CNA (Singapore's mainstream news), and NUS News.
*BEST POSTER RUNNER-UP AWARD (*Poster accompanied full paper)

[HotMobile'20] Listen to Your Key: Towards Acoustics-based Physical Key Inference
Soundarya Ramesh, Harini Ramprasad, and Jun Han
ACM International Workshop on Mobile Computing Systems and Applications
Acceptance Rate: 33.3% (16 of 48)
[ paper | slides | video* ]
*Most viewed video on ACM SigMobile Youtube channel until present
Featured on several news/media/blog posts including: ACM News, Forbes, The Telegraph, Mashable, Gizmodo, The Register, The Sun, Y Combinator's Hacker News, Slashdot, Hacker.io, Boan News (Korean), and Bruce Schneier's blog post.

[CACM] How to Curtail Oversensing in the Home (Invited Magazine Article)
Connor Bolton, Kevin Fu, Josiah Hester, and Jun Han
Communications of the ACM, Vol. 63 No. 6, Pages 20-24, June 2020;
[ article | video | CACM June 2020 ]

[Top Conf: Sec] [S&P (Oakland)'18] Do You Feel What I Hear? Enabling Autonomous IoT Device Pairing using Different Sensor Types
Jun Han, Albert Jin Chung, Manal Kumar Sinha, Madhumitha Harishankar, Shijia Pan, Hae Young Noh, Pei Zhang, and Patrick Tague
IEEE Symposium on Security and Privacy
Acceptance Rate: 11.5% (64 of 549 / See submission and decision statistics)
[ paper | slides | video ]

[HotMobile'18] UniverSense: IoT Device Pairing Using Heterogeneous Sensing Signals
Shijia Pan, Carlos Ruiz, Jun Han, Adeola Bannis, Patrick Tague, Hae Young Noh, and Pei Zhang,
ACM International Workshop on Mobile Computing Systems and Applications
Acceptance Rate: 29.2% (19 of 65)
[ paper ]

[Top Conf: Sen] [IPSN'17] PitchIn: Eavesdropping via Intelligible Speech Reconstruction using Non-Acoustic Sensor Fusion
Jun Han, Albert Chung, and Patrick Tague
ACM/IEEE International Conference on Information Processing in Sensor Networks
Acceptance Rate: 18.3% (19 of 104)
[ paper | slides | project website ]

[HotMobile'17] Convoy: Physical Context Verification for Vehicle Platoon Admission
Jun Han, Madhumitha Harishankar, Xiao Wang, Albert Jin Chung, and Patrick Tague,
ACM International Workshop on Mobile Computing Systems and Applications
Acceptance Rate: 36% (18 of 50)
[ paper ]
*BEST POSTER RUNNER-UP AWARD (*Poster accompanied full paper)

[Top Conf: Sec] [CCS'12] OTO: Online Trust Oracle for User-Centric Trust Establishment
Tiffany Hyun-Jin Kim, Payas Gupta, Jun Han, Emmanuel Owusu, Jason Hong, Adrian Perrig, and Debin Gao
ACM Conference on Computer and Communications Security
Acceptance Rate: 18.9% (80 of 423)
[ paper ]

[Top Conf: Com] [USENIX ATC'12] Cloud Terminal: Secure Access to Sensitive Applications from Untrusted Systems
Lorenzo Martignoni, Pongsin Poosankam, Matei Zaharia, Jun Han, Stephen McCamant, Dawn Song, Vern Paxson, Adrian Perrig, Scott Shenker, and Ion Stoica
USENIX Annual Technical Conference
Acceptance Rate: 18.4% (43 of 234)
[ paper ]

[HotMobile'12] ACCessory: Keystroke Inference using Accelerometers on Smartphones
Emmanuel Owusu, Jun Han, Sauvik Das, Adrian Perrig, and Joy Zhang
ACM International Workshop on Mobile Computing Systems and Applications
Acceptance Rate: 20.6% (14 of 68)
[ paper ]
*Second most cited paper across all years of ACM HotMobile publications until present [ link ]

Professional Services

Technical Program Committee
- IEEE S&P (Oakland) 2024
- USENIX Security 2024
- ACM MobiSys 2023 - 2024
- ACM SenSys 2020 - 2023
- ACM/IEEE IPSN 2024
- ACM HotMobile 2020, 2022 - 2023
- IEEE ICDCS 2020 - 2021
- ACM/IEEE IoTDI 2020 - 2023
- ACM BuildSys 2019, 2022
- ACM WiSec 2019 - 2020, 2022
- IEEE MASS 2022
- TPC Chair ACM DroNet 2021
- IEEE COMSNETS 2020

Organization Committee
- ACM MobiSys 2024 (Workshops Co-Chair)
- ACM MobiSys 2022 (Publicity Co-Chair)
- ACM MobiSys 2019 (Web Co-Chair)
- ACM HotMobile 2020, 2023 (Poster/Demo Co-Chair)
- IEEE COMSNETS 2022 (Publicity Chair)
- ACM BuildSys 2019 (Poster/Demo Co-Chair)