purdue-dcsl
The Dependable Computing Systems Lab (DCSL) at Purdue University does research and development on reliable and secure systems.
Purdue University
Pinned Repositories
a2i2-website
ApproxDet
bluetooth-trace
Bluetooth trace data from Purdue user study. Subject of our CPSIoTSec'20 paper.
EdgeCloudSim
Dependable edge computing project. Simulation code that shows the scenarios where hybrid execution models are worthwhile.
ewok
Wear OS State-Aware Fuzzer
fresco
This is the open failure data repository for computer site and machine failures for large-scale clusters. We are seeding this with usage and job data from Purdue's largest central cluster, called Conte. This effort is supported by an NSF CRI grant CNS-1405906.
mcs-mobility-trace
We conducted a real-world mobile crowdsensing campaign on our university campus (Purdue) over one month (Feb 7 - Mar 7, 2018) with 50 users to evaluate CROWDBIND (our EWSN 20 paper) plus 4 competing solutions. The students went about their daily routine with their smartphones running the five different software packages, collecting sensor data (pressure). This is the anonymized mobility trace of these 50 students over a 100 sq. km. area.
Scaladbg
Parallel assembly algorithm building on top of IDBA. This is described in our BCB-17 and BMC Genomics-17 papers.
tardis
An efficient implementation of record and replay for embedded systems.
vulcan
**Vulcan Suite** This repository contains all the code associated with Vulcan, our state-aware fuzzing tool for WearOS. The technical details are in the following paper: * Edgardo Barsallo Yi, Heng Zhang, Amiya Maji, Kefan Xu, and Saurabh Bagchi, "Vulcan: Lessons in Reliability of Wearables through State-AwareFuzzing," Mobisys 2020.
purdue-dcsl's Repositories
purdue-dcsl/ApproxDet
purdue-dcsl/EdgeCloudSim
Dependable edge computing project. Simulation code that shows the scenarios where hybrid execution models are worthwhile.
purdue-dcsl/vulcan
**Vulcan Suite** This repository contains all the code associated with Vulcan, our state-aware fuzzing tool for WearOS. The technical details are in the following paper: * Edgardo Barsallo Yi, Heng Zhang, Amiya Maji, Kefan Xu, and Saurabh Bagchi, "Vulcan: Lessons in Reliability of Wearables through State-AwareFuzzing," Mobisys 2020.
purdue-dcsl/fresco
This is the open failure data repository for computer site and machine failures for large-scale clusters. We are seeding this with usage and job data from Purdue's largest central cluster, called Conte. This effort is supported by an NSF CRI grant CNS-1405906.
purdue-dcsl/mcs-mobility-trace
We conducted a real-world mobile crowdsensing campaign on our university campus (Purdue) over one month (Feb 7 - Mar 7, 2018) with 50 users to evaluate CROWDBIND (our EWSN 20 paper) plus 4 competing solutions. The students went about their daily routine with their smartphones running the five different software packages, collecting sensor data (pressure). This is the anonymized mobility trace of these 50 students over a 100 sq. km. area.
purdue-dcsl/Scaladbg
Parallel assembly algorithm building on top of IDBA. This is described in our BCB-17 and BMC Genomics-17 papers.
purdue-dcsl/ewok
Wear OS State-Aware Fuzzer
purdue-dcsl/tardis
An efficient implementation of record and replay for embedded systems.
purdue-dcsl/a2i2-website
purdue-dcsl/bluetooth-trace
Bluetooth trace data from Purdue user study. Subject of our CPSIoTSec'20 paper.
purdue-dcsl/epoxy
purdue-dcsl/gridsec
Open source modeling and simulation for smart grid security
purdue-dcsl/Orion
Orion: A fine-grained parallel implementation for genomic search
purdue-dcsl/QGJ
Android Wear generational and mutational fuzzer based on Android IPC.
purdue-dcsl/RAJA-snowpack
This package is integration of Snowpack (selecting optimal block size for GPU kernels) with RAJA programming environment. Work done by Ranvijay Singh in collaboration with Ignacio Laguna (DOE), Paul Wood, Saurabh Bagchi.
purdue-dcsl/rcd-neurips22
Root Cause Discovery: Root Cause Analysis of Failures in Microservices through Causal Discovery. Paper in NeurIPS 2022.
purdue-dcsl/smartgridcomm15_smartgridadversary
Our paper on strategic adversary against smart grids.