HR job title
- Visiting Assistant Professor
- Contact Info
- Websites
- ORCiD
- 0000-0001-6870-1178
Botacin, Marcus Visiting Assistant Professor
Positions
- Visiting Assistant Professor, Computer Science and Engineering, College of Engineering
Marcus Botacin researches system security, with a focus on malware analysis, antiviruses, reverse engineering, and forensics.
Research Areas
- Overview
- Publications
- Teaching
- Background
- Contact
- Other
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Overview
Publications
selected publications
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academic article
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Ceschin, F., Botacin, M., Gomes, H. M., Pinage, F., Oliveira, L. S., & Gregio, A.
(2023).
Fast & Furious: On the modelling of malware detection as an evolving data stream. Expert Systems With Applications.
212, 118590-118590.
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Botacin, M., Alves, M. Z., Oliveira, D., & Gregio, A.
(2022).
HEAVEN: A Hardware-Enhanced AntiVirus ENgine to accelerate real-time, signature-based malware detection. Expert Systems With Applications.
201, 117083-117083.
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Botacin, M., Moreira, F. B., Navaux, P., Gregio, A., & Alves, M.
(2022).
TERMINATOR: A Secure Coprocessor to Accelerate Real-Time AntiViruses Using Inspection Breakpoints. ACM Transactions on Privacy and Security.
25(2), 1-34.
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Sun, R., Botacin, M., Sapountzis, N., Yuan, X., Bishop, M., Porter, D. E., ... Oliveira, D.
(2022).
A Praise for Defensive Programming: Leveraging Uncertainty for Effective Malware Mitigation. 19(1), 353-369.
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Botacin, M., Domingues, F. D., Ceschin, F., Machnicki, R., Zanata Alves, M. A., de Geus, P. L., & Gregio, A.
(2022).
AntiViruses under the microscope: A hands-on perspective. Computers and Security.
112, 102500-102500.
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Botacin, M., Moia, V., Ceschin, F., Henriques, M., & Gregio, A.
(2021).
Understanding uses and misuses of similarity hashing functions for malware detection and family clustering in actual scenarios. 38, 301220-301220.
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Botacin, M., Ceschin, F., Sun, R., Oliveira, D., & Gregio, A.
(2021).
Challenges and pitfalls in malware research. 106, 102287-102287.
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Botacin, M., Aghakhani, H., Ortolani, S., Kruegel, C., Vigna, G., Oliveira, D., De Geus, P. L., & Gregio, A.
(2021).
One Size Does Not Fit All: A Longitudinal Analysis of Brazilian Financial Malware. ACM Transactions on Privacy and Security.
24(2), 1-31.
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Botacin, M., Zanata, M., & Gregio, A.
(2020).
The self modifying code (SMC)-aware processor (SAP): a security look on architectural impact and support. 16(3), 185-196.
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Botacin, M., Ceschin, F., de Geus, P., & Gregio, A.
(2020).
We need to talk about antiviruses: challenges & pitfalls of AV evaluations. Computers and Security.
95, 101859-101859.
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Botacin, M., de Geus, P. L., & Gregio, A.
(2020).
Leveraging branch traces to understand kernel internals from within. 16(2), 141-155.
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Botacin, M., de Geus, P. L., & Gregio, A.
(2019).
"VANILLA" malware: vanishing antiviruses by interleaving layers and layers of attacks. 15(4), 233-247.
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Galante, L. B., de Geus, P. L., & Botacin, M. F.
(2019).
Monitorao de aplicaes em ambientes Linux - Linux applications monitoring
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Botacin, M., de Geus, P. L., & Gregio, A.
(2018).
Who Watches the Watchmen: A Security-focused Review on Current State-of-the-art Techniques, Tools, and Methods for Systems and Binary Analysis on Modern Platforms. ACM Computing Surveys.
51(4), 69-34.
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Botacin, M., De Geus, P. L., & Gregio, A.
(2018).
Enhancing Branch Monitoring for Security Purposes: From Control Flow Integrity to Malware Analysis and Debugging. ACM Transactions on Privacy and Security.
21(1), 4-30.
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Botacin, M. F., de Geus, P. L., & Abed Gregio, A. R.
(2018).
The other guys: automated analysis of marginalized malware. 14(1), 87-98.
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Ceschin, F., Botacin, M., Bifet, A., Pfahringer, B., Oliveira, L. S., Gomes, H. M., & Grgio, A.
Machine Learning (In) Security: A Stream of Problems
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Ceschin, F., Botacin, M., Gomes, H. M., Pinage, F., Oliveira, L. S., & Gregio, A.
(2023).
Fast & Furious: On the modelling of malware detection as an evolving data stream. Expert Systems With Applications.
212, 118590-118590.
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chapter
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Botacin, M., Berto, G., de Geus, P., Grgio, A., Kruegel, C., & Vigna, G.
(2020).
On the Security of Application Installers and Online Software Repositories. Lecture Notes in Artificial Intelligence.
Detection of Intrusions and Malware, and Vulnerability Assessment.
(pp. 192-214).
Springer Nature.
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Botacin, M., Galante, L., Silva, O., & Geus, P.
(2019).
Introduo Engenharia Reversa de Aplicaes Maliciosas em Ambientes Linux. Minicursos do XIX Simpsio Brasileiro de Segurana da Informao e de Sistemas Computacionais.
(pp. 140-180).
Sociedade Brasileira de Computacao - SB.
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Beppler, T., Botacin, M., Ceschin, F., Oliveira, L., & Grgio, A.
(2019).
L(a)ying in (Test)Bed. Lecture Notes in Artificial Intelligence.
Information Security.
(pp. 381-401).
Springer Nature.
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Botacin, M., Geus, P., & Grgio, A.
(2018).
Anlise de Binrios e Sistemas Assistida por Hardware. Minicursos do XVIII Simpsio Brasileiro de Segurana da Informao e de Sistemas Computacionais.
(pp. 100-139).
Sociedade Brasileira de Computacao - SB.
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Botacin, M., Berto, G., de Geus, P., Grgio, A., Kruegel, C., & Vigna, G.
(2020).
On the Security of Application Installers and Online Software Repositories. Lecture Notes in Artificial Intelligence.
Detection of Intrusions and Malware, and Vulnerability Assessment.
(pp. 192-214).
Springer Nature.
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conference paper
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Salas, M., De Geus, P., & Botacin, M.
(2023).
Enhancing Malware Family Classification in the Microsoft Challenge Dataset via Transfer Learning. 156-163.
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Damsio, T., Canesche, M., Pacheco, V., Botacin, M., Faustino da Silva, A., & Quinto Pereira, F. M.
(2023).
A Game-Based Framework to Compare Program Classifiers and Evaders. 108-121.
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Botacin, M., & Gregio, A.
(2022).
Dissecting Applications Uninstallers and Removers: Are They Effective?. Lecture Notes in Artificial Intelligence.
339-359.
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Botacin, M., de Geus, P., & Grgio, A.
(2022).
On the Malware Detection Problem: Challenges & Novel Approaches. 25-32.
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Botacin, M., & Gregio, A.
(2022).
Why We Need a Theory of Maliciousness: Hardware Performance Counters in Security. Lecture Notes in Artificial Intelligence.
381-389.
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Botacin, M., Ceschin, F., & Grgio, A.
(2021).
Corvus: Uma soluo Sandbox e de Threat Intelligence para Identificao e Anlise de Malware. 50-57.
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Ceschin, F., Botacin, M., Lders, G., Gomes, H. M., Oliveira, L., & Gregio, A.
(2020).
No Need to Teach New Tricks to Old Malware: Winning an Evasion Challenge with XOR-based Adversarial Samples. 13-22.
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Botacin, M., Geus, P. D., & Grgio, A.
(2020).
An Empirical Study on the Blocking of HTTP and DNS Requests at Providers Level to Counter In-The-Wild Malware Infections. 188-200.
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Lders, G., Botacin, M., Ceschin, F., & Grgio, A.
(2020).
Breaking Good: Injeo de Payloads Legtimos em Binrios Maliciosos para Teste de Robustez de Antivrus contra Evaso. 80-87.
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Botacin, M., Grgio, A., & Alves, M.
(2020).
Near-Memory & In-Memory Detection of Fileless Malware. 23-38.
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Galante, L., de Geus, P., & Botacin, M.
(2019).
Linux Malware Behavior Description. 1-1.
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Botacin, M., Galante, L., de Geus, P., & Grgio, A.
(2019).
RevEngE is a dish served cold. 1-12.
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Ceschin, F., Botacin, M., Gomes, H. M., Oliveira, L. S., & Grgio, A.
(2019).
Shallow Security. 1-9.
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Galante, L., Botacin, M., Grgio, A., & De Geus, P.
(2019).
Forseti: Extrao de caractersticas e classificao de binrios ELF. 5-10.
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Galante, L., Botacin, M., Grgio, A., & De Geus, P.
(2019).
Machine Learning for Malware Detection: Beyond Accuracy Rates. 47-56.
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Botacin, M., Grgio, A., & De Geus, P.
(2019).
Malware Variants Identification in Practice. 29-42.
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Botacin, M., Galante, L., De Geus, P., & Grgio, A.
(2019).
RevEngE: Extenses de Engenharia Reversa para o GDB. 1-4.
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Botacin, M., Kalysch, A., & Gregiol, A.
(2019).
The Internet Banking [in]Security Spiral Past, Present, and Future of Online Banking Protection Mechanisms based on a Brazilian case study. 1-10.
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Botacin, M., Galante, L., Ceschin, F., Santos, P. C., Carro, L., de Geus, P., Gregio, A., & Alves, M.
(2019).
The AV says: Your Hardware Definitions Were Updated!. 27-34.
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Beppler, T., Botacin, M., Ceschin, F., Oliveira, L., & Gregio, A.
(2019).
L(a)ying in (Test)Bed How Biased Datasets Produce Impractical Results for Actual Malware Families' Classification. Lecture Notes in Artificial Intelligence.
381-401.
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Botacin, M., Rocha, V., Geus, P., & Grgio, A.
(2017).
Analysis, Anti-Analysis, Anti-Anti-Analysis: An Overview of the Evasive Malware Scenario. 250-263.
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Botacin, M., Geus, P., & Grgio, A.
(2016).
Anlise Transparente de Malware com Suporte por Hardware. 422-434.
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Botacin, M., Geus, P., & Grgio, A.
(2016).
Deteco de ataques por ROP em tempo real assistida por hardware. 324-337.
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Botacin, M., Geus, P., & Grgio, A.
(2016).
VoiDbg: Projeto e Implementao de um Debugger Transparente para Inspeo de Aplicaes Protegidas. 282-295.
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FALCAO DA ROCHA, V., Licio De Geus, P., GRGIO, A., & BOTACIN, M.
(2016).
Deteco de tcnicas de anti-forense em programas maliciosos
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Botacin, M., Afonso, V., Geus, P., & Grgio, A.
(2014).
Monitorao de comportamento de malware em sistemas operacionais Windows NT 6.x de 64 bits. 195-208.
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Salas, M., De Geus, P., & Botacin, M.
(2023).
Enhancing Malware Family Classification in the Microsoft Challenge Dataset via Transfer Learning. 156-163.
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institutional repository document
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Ceschin, F., Botacin, M., Gomes, H. M., Pinag, F., Oliveira, L. S., & Grgio, A.
(2022).
Fast & Furious: Modelling Malware Detection as Evolving Data Streams
-
Botacin, M., & Grgio, A.
(2021).
A [in]Segurana dos Sistemas Governamentais Brasileiros: Um Estudo de Caso em Sistemas Web e Redes Abertas
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Botacin, M., & Grgio, A.
(2021).
Malware MultiVerse: From Automatic Logic Bomb Identification to Automatic Patching and Tracing
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Ceschin, F., Gomes, H. M., Botacin, M., Bifet, A., Pfahringer, B., Oliveira, L. S., & Grgio, A.
(2020).
Machine Learning (In) Security: A Stream of Problems
-
Sun, R., Botacin, M., Sapountzis, N., Yuan, X., Bishop, M., Porter, D. E., ... Oliveira, D.
(2018).
A Praise for Defensive Programming: Leveraging Uncertainty for Effective Malware Mitigation
-
Ceschin, F., Botacin, M., Gomes, H. M., Pinag, F., Oliveira, L. S., & Grgio, A.
(2022).
Fast & Furious: Modelling Malware Detection as Evolving Data Streams
Teaching
teaching activities
- CSCE685 Directed Studies Instructor
- CSCE689 Sptp: Ml-based Cyber Defenses Instructor
- CSCE689 Sptp: Ml-based Cyberdefenses Instructor
- CSCE691 Research Instructor
Background
education and training
- Ph.D. in Computer Science, Federal University of Parana - (Curitiba, Parana, Brazil) 2021
- M.Sc. in Computer Science, State University of Campinas - (Campinas, Brazil) 2017
- B.Sc. in Computer Engineering, State University of Campinas - (Campinas, Brazil) 2015
Contact
first name
- Marcus
has last name
- Botacin
mailing address
-
435 Nagle Street
Peterson Building, Office 224
College Station, Texas 77843
USA
Other
- botacin@tamu.edu