Title:
OSS Police
OSS Police
dc.contributor.author | Bijlani, Ashish | |
dc.contributor.author | Duan, Ruian | |
dc.contributor.corporatename | Georgia Institute of Technology. Institute for Information Security & Privacy | en_US |
dc.contributor.corporatename | Georgia Institute of Technology. School of Computer Science | en_US |
dc.date.accessioned | 2018-05-04T21:16:05Z | |
dc.date.available | 2018-05-04T21:16:05Z | |
dc.date.issued | 2018-04-12 | |
dc.description | Presented as part of the Cybersecurity Demo Day 2018 on April 12, 2018 at 4:00 p.m. in the Krone Engineered Biosystems Building, Room 1005. | en_US |
dc.description | Ashish Bijlani is a PhD student in the School of Computer Science at Georgia Tech. | en_US |
dc.description | Ruian Duan is a Ph.D. student in Computer Science at Georgia Tech, advised by Prof. Wenke Lee in GTISC. His current research interests are web privacy and security, network security and mobile security. | en_US |
dc.description | Runtime: 13:19 minutes | en_US |
dc.description.abstract | In order to reduce time to market, mobile app developers often focus their efforts on creating new, unique features or workflows, and rely on third-party Open Source Software (OSS) for common elements of app code. Unfortunately, careless use of OSS can introduce significant legal and security risks that jeopardizes the security and privacy of end users, and may lead to high financial loss for the app developer. We propose OSS Police, a scalable and fully-automated tool for mobile app developers to quickly analyze their apps and identify free software license violations as well as known vulnerabilities in open-source software (OSS) code. OSS Police introduces a novel hierarchical indexing scheme to achieve both high scalability and accuracy, and is capable of efficiently comparing similarities of app binaries against a database of hundreds of thousands of OSS sources (billions of lines of code). Research by Ashish Bijlani, Ruian Duan, and Meng Xu. AWARDS: Grand Prize - Create-X Startup LAUNCH incubator seat, 1st Place - Commercialization Track | en_US |
dc.format.extent | 13:19 minutes | |
dc.identifier.uri | http://hdl.handle.net/1853/59658 | |
dc.language.iso | en_US | en_US |
dc.publisher | Georgia Institute of Technology | en_US |
dc.relation.ispartofseries | Cybersecurity Lecture Series | |
dc.subject | Legal risks | en_US |
dc.subject | Open-source software | en_US |
dc.subject | Security risks | en_US |
dc.title | OSS Police | en_US |
dc.type | Moving Image | |
dc.type.genre | Lecture | |
dspace.entity.type | Publication | |
local.contributor.corporatename | School of Cybersecurity and Privacy | |
local.contributor.corporatename | College of Computing | |
local.relation.ispartofseries | Institute for Information Security & Privacy Cybersecurity Lecture Series | |
relation.isOrgUnitOfPublication | f6d1765b-8d68-42f4-97a7-fe5e2e2aefdf | |
relation.isOrgUnitOfPublication | c8892b3c-8db6-4b7b-a33a-1b67f7db2021 | |
relation.isSeriesOfPublication | 2b4a3c7a-f972-4a82-aeaa-818747ae18a7 |
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