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ORCIDThomas H. Austin
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- affiliation: San Jose State University, San Jose, CA, USA
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Books and Theses
- 2013
[b1]Thomas H. Austin
:
Dynamic Information Flow Analysis for JavaScript in a Web Browser. University of California, Santa Cruz, USA, 2013
Journal Articles
- 2022
- [j15]Chris Pollett, Thomas H. Austin, Katerina Potika, Justin Rietz, Prashant Pardeshi:
TontineCoin: Survivor-based Proof-of-Stake. Peer-to-Peer Netw. Appl. 15(2): 988-1007 (2022) - 2018
- [j14]Naoki Kudo, Toshihiro Yamauchi, Thomas H. Austin:
Access Control Mechanism to Mitigate Cordova Plugin Attacks in Hybrid Applications. J. Inf. Process. 26: 396-405 (2018) - 2017
- [j13]Ismeet Kaur Makkar, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp:
SocioBot: a Twitter-based botnet. Int. J. Secur. Networks 12(1): 1-12 (2017) - [j12]Thomas H. Austin, Thomas Schmitz, Cormac Flanagan:
Multiple Facets for Dynamic Information Flow with Exceptions. ACM Trans. Program. Lang. Syst. 39(3): 10:1-10:56 (2017) - [j11]Anusha Damodaran, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp:
A comparison of static, dynamic, and hybrid analysis for malware detection. J. Comput. Virol. Hacking Tech. 13(1): 1-12 (2017) - [j10]Swathi Pai, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp:
Clustering for malware classification. J. Comput. Virol. Hacking Tech. 13(2): 95-107 (2017) - 2016
- [j9]Shoma Kajitani, Yasuyuki Nogami, Shunsuke Miyoshi, Thomas H. Austin, Md. Al-Amin Khandaker, Nasima Begum, Sylvain Duquesne:
Web-based Volunteer Computing for Solving the Elliptic Curve Discrete Logarithm Problem. Int. J. Netw. Comput. 6(2): 181-194 (2016) - [j8]Tanuvir Singh, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp:
Support vector machines and malware detection. J. Comput. Virol. Hacking Tech. 12(4): 203-212 (2016) - [j7]Usha Narra, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp:
Clustering versus SVM for malware detection. J. Comput. Virol. Hacking Tech. 12(4): 213-224 (2016) - 2015
- [j6]Jared Lee, Thomas H. Austin, Mark Stamp:
Compression-based analysis of metamorphic malware. Int. J. Secur. Networks 10(2): 124-136 (2015) - [j5]Chinmayee Annachhatre, Thomas H. Austin, Mark Stamp:
Hidden Markov models for malware classification. J. Comput. Virol. Hacking Tech. 11(2): 59-73 (2015) - [j4]Mangesh Musale, Thomas H. Austin, Mark Stamp:
Hunting for metamorphic JavaScript malware. J. Comput. Virol. Hacking Tech. 11(2): 89-102 (2015) - [j3]Ashwin Kalbhor, Thomas H. Austin, Eric Filiol, Sébastien Josse, Mark Stamp:
Dueling hidden Markov models for virus analysis. J. Comput. Virol. Hacking Tech. 11(2): 103-118 (2015) - [j2]Ranjith Kumar Jidigam, Thomas H. Austin, Mark Stamp:
Singular value decomposition and metamorphic detection. J. Comput. Virol. Hacking Tech. 11(4): 203-216 (2015) - 2014
- [j1]Teja Tamboli, Thomas H. Austin, Mark Stamp:
Metamorphic code generation from LLVM bytecode. J. Comput. Virol. Hacking Tech. 10(3): 177-187 (2014)
Conference and Workshop Papers
- 2023
- [c25]Thomas H. Austin, Katerina Potika, Chris Pollett:
Autonomous Lending Organization on Ethereum with Credit Scoring. SVCC 2023: 1-8 - 2022
- [c24]Thomas H. Austin, Fabio Di Troia:
A Blockchain-Based Tamper-Resistant Logging Framework. SVCC 2022: 90-104 - 2021
- [c23]Sean Basu, Kimaya Basu, Thomas H. Austin:
Crowdfunding Non-fungible Tokens on the Blockchain. SVCC 2021: 109-125 - 2020
- [c22]Thomas H. Austin, Paul Merrill, Justin Rietz:
SharedWealth: Disincentivizing Mining Pools Through Burning and Minting. BIS (Workshops) 2020: 73-85 - [c21]Chris Pollett, Thomas H. Austin, Katerina Potika, Justin Rietz:
TontineCoin: Murder-Based Proof-of-Stake. DAPPS 2020: 82-87 - [c20]Thomas H. Austin:
SpartanGold: A Blockchain for Education, Experimentation, and Rapid Prototyping. SVCC 2020: 117-133 - [c19]Yan Chen, Thomas H. Austin, Philip Heller:
BioBlockchain: Useful Proof-of-Work with Multiple Sequence Alignment. SVCC 2020: 160-166 - 2019
- [c18]Paul Merrill, Thomas H. Austin, Jenil Thakker, Younghee Park, Justin Rietz:
Lock and Load: A Model for Free Blockchain Transactions through Token Locking. DAPPCON 2019: 19-28 - [c17]Paul Merrill, Thomas H. Austin, Justin Rietz, Jon Pearce:
Ping-Pong Governance: Token Locking for Enabling Blockchain Self-governance. MARBLE 2019: 13-29 - 2018
- [c16]Prathiba Nagarajan, Fabio Di Troia, Thomas H. Austin, Mark Stamp:
Autocorrelation Analysis of Financial Botnet Traffic. ICISSP 2018: 599-606 - 2017
- [c15]Naoki Kudo, Toshihiro Yamauchi, Thomas H. Austin:
Access Control for Plugins in Cordova-Based Hybrid Applications. AINA 2017: 1063-1069 - [c14]Tejas Saoji, Thomas H. Austin, Cormac Flanagan:
Using Precise Taint Tracking for Auto-sanitization. PLAS@CCS 2017: 15-24 - 2016
- [c13]Swapna Vemparala, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp:
Malware Detection Using Dynamic Birthmarks. IWSPA@CODASPY 2016: 41-46 - [c12]Nikitha Ganesh, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp:
Static Analysis of Malicious Java Applets. IWSPA@CODASPY 2016: 58-63 - [c11]Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp:
Advanced transcriptase for JavaScript malware. MALWARE 2016: 121-128 - [c10]Jean Yang, Travis Hance, Thomas H. Austin, Armando Solar-Lezama, Cormac Flanagan, Stephen Chong:
Precise, dynamic information flow for database-backed applications. PLDI 2016: 631-647 - [c9]Thomas Schmitz, Dustin Rhodes, Thomas H. Austin, Kenneth L. Knowles, Cormac Flanagan:
Faceted Dynamic Information Flow via Control and Data Monads. POST 2016: 3-23 - 2015
- [c8]Shoma Kajitani, Yasuyuki Nogami, Shunsuke Miyoshi, Thomas H. Austin:
Volunteer Computing for Solving an Elliptic Curve Discrete Logarithm Problem. CANDAR 2015: 122-126 - 2013
- [c7]Thomas H. Austin, Eric Filiol, Sébastien Josse, Mark Stamp:
Exploring Hidden Markov Models for Virus Analysis: A Semantic Approach. HICSS 2013: 5039-5048 - [c6]Thomas H. Austin, Jean Yang, Cormac Flanagan, Armando Solar-Lezama:
Faceted execution of policy-agnostic programs. PLAS 2013: 15-26 - 2012
- [c5]Thomas H. Austin, Cormac Flanagan, Martín Abadi:
A Functional View of Imperative Information Flow. APLAS 2012: 34-49 - [c4]Thomas H. Austin, Cormac Flanagan:
Multiple facets for dynamic information flow. POPL 2012: 165-178 - 2011
- [c3]Thomas H. Austin, Tim Disney, Cormac Flanagan:
Virtual values for language extension. OOPSLA 2011: 921-938 - 2010
- [c2]Thomas H. Austin, Cormac Flanagan:
Permissive dynamic information flow analysis. PLAS 2010: 3 - 2009
- [c1]Thomas H. Austin, Cormac Flanagan:
Efficient purely-dynamic information flow analysis. PLAS 2009: 113-124
Parts in Books or Collections
- 2018
- [p2]Deebiga Rajeswaran, Fabio Di Troia, Thomas H. Austin, Mark Stamp:
Function Call Graphs Versus Machine Learning for Malware Detection. Guide to Vulnerability Analysis for Computer Networks and Systems 2018: 259-279 - 2010
- [p1]Thomas H. Austin:
Designing a Secure Programming Language. Handbook of Information and Communication Security 2010: 771-785
Editorship
- 2022
- [e3]Sang-Yoon Chang, Luis Angel D. Bathen, Fabio Di Troia, Thomas H. Austin, Alex J. Nelson:
Silicon Valley Cybersecurity Conference - Second Conference, SVCC 2021, San Jose, CA, USA, December 2-3, 2021, Revised Selected Papers. Communications in Computer and Information Science 1536, Springer 2022, ISBN 978-3-030-96056-8 [contents] - [e2]Luis Bathen, Gökay Saldamli, Xiaoyan Sun, Thomas H. Austin, Alex J. Nelson:
Silicon Valley Cybersecurity Conference - Third Conference, SVCC 2022, Virtual Event, August 17-19, 2022, Revised Selected Papers. Communications in Computer and Information Science 1683, Springer 2022, ISBN 978-3-031-24048-5 [contents] - 2021
- [e1]Younghee Park, Divyesh Jadav, Thomas H. Austin:
Silicon Valley Cybersecurity Conference - First Conference, SVCC 2020, San Jose, CA, USA, December 17-19, 2020, Revised Selected Papers. Communications in Computer and Information Science 1383, Springer 2021, ISBN 978-3-030-72725-3 [contents]
Informal and Other Publications
- 2022
- [i3]Anusha Damodaran, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp:
A Comparison of Static, Dynamic, and Hybrid Analysis for Malware Detection. CoRR abs/2203.09938 (2022) - 2019
- [i2]Swapna Vemparala, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp:
Malware Detection Using Dynamic Birthmarks. CoRR abs/1901.07312 (2019) - 2015
- [i1]Jean Yang, Travis Hance, Thomas H. Austin, Armando Solar-Lezama, Cormac Flanagan, Stephen Chong:
End-To-End Policy-Agnostic Security for Database-Backed Applications. CoRR abs/1507.03513 (2015)
Coauthor Index
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