Welcome to Chen’s Homepage!

Chen Chen

PhD Candidate

Department of Computer Science

Stony Brook University

Stony Brook, NY 11794-2424

About Me

I am currently a CS PhD student at Stony Brook University, New York. I am working on the Network Security and Applied Cryptography (NSAC) lab under the guidance of Prof. Radu Sion.

My area of interests are system security, data privacy, embedded storage system, machine learning and clouds.

Before coming to New York, I received my Bachelor degree at Tsinghua University, China.

Here is my CV.


Doctor of Philosophy (Ph.D.), Computer Science Stony Brook University

Advisor: Radu Sion

Bachelor's Degree, Automation Tsinghua University

Advisor: Jie Zhou


Anonymous Submission

Chen Chen, Radu Sion [pdf] [bibtex]

USENIX Security Symposium 2020 (under submission)

INFUSE: Invisible plausibly-deniable file system for NAND flash

Chen Chen, Anrin Chakraborti, Radu Sion [pdf] [bibtex]

(under submission)

PD-DM: An efficient locality-preserving block device mapper with plausible deniability

Chen Chen, Anrin Chakraborti, Radu Sion [pdf] [bibtex]

Proceedings on Privacy Enhancing Technologies 2019 (PETS 2019)

DataLair: An Efficient Block Device Mapper with Plausible Deniability

Anrin Chakraborti, Chen Chen, Radu Sion [pdf] [bibtex]

Proceedings on Privacy Enhancing Technologies 2017 (PETS 2017)

KXRay -- Introspecting the kernel for rootkit timing footprints

Chen Chen, Darius Suciu, Radu Sion [pdf] [bibtex]

23rd ACM Conference on Computer and Communications Security (CCS 2016 Poster)

DataLair - A Storage Block Device with Plausible Deniability

Anrin Chakraborti, Chen Chen, Radu Sion [pdf] [bibtex]

23rd ACM Conference on Computer and Communications Security (CCS 2016 Poster)

Quantitative Musings on the Feasibility of Smartphone Clouds

Chen Chen, Moussa Ehsan, Radu Sion [pdf] [bibtex]

15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2015)

HIFS: History Independence for File Systems

Sumeet Bajaj, Chen Chen, Abhishek Kumar, Radu Sion [pdf] [bibtex]

24th ACM Symposium on Operating Systems Principles (SOSP 2013 Poster)


Pearl: Plausibly Deniable Flash Translation Layer using WOM coding

PEARL is a plausibly deniable FTL for NAND flash memory. It allows both public data and hidden data to coexist in one flash device without leaking the existence of the hidden data to multi-snapshot adversaries.

INFUSE: Plausible Deniable file system for NAND Flash Device

INFUSE is a plausible deniability system for raw NAND flash devices. It hides sensitive data in flash devices by “embedding” logical data using variations in threshold voltage. The hidden data stored in the device and the deployment of INFUSE can be both “invisible” to adversaries.

Plausible Deniability for Block Device

  • Datalair is a practical plausible deniability system built based on a new write-only ORAM. It reduces the complexity of the state of the art existing write-only ORAM by a factor of O(logN). When compared with existing approaches, DataLair is two orders of magnitude faster (and as efficient as the underlying raw storage) for public data accesses, and 2-5 times faster for hidden data accesses.
  • PD-DM is a new efficient device mapper with strong plausible deniability against multi-snapshot adversaries. It preserves locality and increases performance by ensuring most of its underlying writes are sequential. In a typical setup, throughputs are one order of magnitude (10-100x) faster than existing approaches.

Memory Mining

This project aims to detect the existence and location of specific instances of target data structure types in a VM by observing memory accesses and training for targetspecific timing-based signatures. We deploy the detection mechanisms to defeat kernel rootkits that "hide" their associated processes from existing snapshot-based detection methods. We introduce multiple signature variants and evaluate them for different kernel versions.

Smartphone Datacenter

Smartphone Datacenter looks insight into the power-performance tradeoff at scale for ARM and x86 architectures by quantifying the cost/performance ratio precisely enough to allow for a broader conclusion about the feasibility of deploying an ARM datacenter in next few years.

Green DIMM

Green DIMM is a system that aims at energy efficient memory management in OS.

HIFS for Flash

HIFS for flash is a file system designed for flash storage devices with a good balance between the history independent security and device life time.