Cloud Active Defense Strategies Simulation and Evaluation F/M
Detail de l'annonce :
WHAT WE OFFER
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ABOUT US (TEAM)
Maintaining security is a constantly shifting task, and we need to
respond with continuous learning and research. The portfolio of SAP
Security Research contains those topics that we believe are most
important for SAP’s security future.
SAP’s vision to secure business is built on 3 ideals:
Zero-Vulnerability, to harden the software by eliminating
vulnerabilities, Defensible Application, to enable the software to
identify and prevent attacks, and Zero-Knowledge, to make any theft of
data useless through encryption.
Considering these aspects, SAP Security Research covers the following
focal areas: Anonymization for Big Data, Secure Internet of Things,
Software security analysis, Open-source analysis, Deceptive
application, Applied cryptography, Quantum technology, and Machine
Learning as enabler for the next generation of security.
PURPOSE AND OBJECTIVES
This internship is based in the SAP Labs France Research Lab, in
Sophia-Antipolis. The work will be performed in the context of the
Research Program “Security research”, under the “Active
Defense” topic. This topic aims at deceiving, confusing and
misdirecting adversaries, to undermine their exploitation
capabilities. While previous ‘‘Capture The Flag“ or “Red
Teaming“ experiments show that deception is effective in attack
detection, it remains difficult to come up with an experimentation
framework that will allow to do rigorous and repeatable tests to find
the optimal deception parameters. For this, a recent approach has been
to utilize the CyberBattleSIm framework developed by Microsoft based
on the OpenAI gym interface [1]. This project allows to simulate an
enterprise network environment and provides abstraction of various
network and security concepts. Researchers proposed to modify
CyberBattleSIm, to add the abstractions of deception concepts and
experiment with the number and location of deceptive elements [2].
However, CyberBattleSim mainly simulates a network environment where
the ‘nodes are computing elements and the edges are connections
between nodes“. Thus, it mainly allows to experiment with
network-layer deception.
The goal of this internship is first to assess the applicability, and
second, to adapt CyberBattleSim to cloud infrastructure and
application-layer deception. Ideally, this would allow us to simulate
the possible attack vectors that are identified during an application
threat modeling exercise, and to measure the effectiveness of
deception on such attacks.
EXPECTATIONS AND TASKS
Some of the tasks to be addressed include:
* Getting familiar with state-of-the-art research on deception
* Getting familiar with the OpenAI gym and CyberBattleSim frameworks
* Understanding the abstractions provided by CyberBattleSim
* Getting familiar with the cloud architecture and cloud application
environment at SAP, e.g SAP’s Business Technology Platform
* Finding ways to abstract and simulate web/cloud application
components in CyberBattleSim
* Finding ways to abstract and simulate application layer deceptive
elements in CyberBattleSim
* Implementing a prototype with these abstractions that would allow
to experiment with the location, enticingness, and number of deceptive
elements.
Note that, as this is mainly a research project, the tasks and
expectations can be updated during the course of the internship,
depending on the research process and findings. We expect that 60% of
time of the intern will be dedicated to research and 40% to
development activities.
[1] Microsoft Defender Research Team. CyberBattleSim.
https://github.com/microsoft/cyberbattlesim, 2021.
[2] Walter, E., Ferguson-Walter, K., Ridley, A. Incorporating
Deception into CyberBattleSim for Autonomous Defense. IJCAI-21 1st
International Workshop on Adaptive Cyber Defense, 2021.
PROFILE/EDUCATION/SKILLS AND COMPETENCIES
*
University Level: Last year of MSc in Computer Science or beyond
* Good knowledge of Machine Learning techniques (in particular,
Reinforcement Learning)
* Good knowledge of Python
* Familiarity with OpenAI gym is a plus
* Familiarity with web application and/or cloud security is a plus
* Previous projects that rely on simulation and abstraction are a
plus
* Familiarity with academic research is a plus
* Fluency in English (working language)
* Abilities in organizing meetings and contacting people
* Good oral and written communication skills
* Capacity to write documents in English, ability to synthesize
PROFESSIONAL EXPERIENCE
*
None required
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EOE AA M/F/Vet/Disability:
Qualified applicants will receive consideration for employment without
regard to their age, race, religion, national origin, ethnicity, age,
gender (including pregnancy, childbirth, et al), sexual orientation,
gender identity or expression, protected veteran status, or
disability.
Successful candidates might be required to undergo a background
verification with an external vendor.
Requisition ID:320265 | Work Area: Software-Design and Development |
Expected Travel: 0 - 10% | Career Status: Student | Employment Type:
Intern |