Towards an automated attack tree generator for the IoT
Name
1066344441-MIT.pdf
Description
Full printable version
Size
1.95 MB
Format
Adobe PDF
Checksum (MD5)
9a9f02c6583e1a7cabc08ef98a5575ce
Author(s)
Caldera, Carlos, M. Eng. Massachusetts Institute of Technology
Advisor(s)
Howard Shrobe.
Date Issued
2017
Publisher
Massachusetts Institute of Technology
Abstract
The growing frequency and scale of cyber security attacks is daunting. Notable areas of concern are the Internet of Things (IoT) and Operational Technology (OT) systems; the IoT is becoming intimately integrated into our lives, and the physical repercussions of attacks on OT systems can be devastating. Risk analysis tools can prove to be very helpful towards defining counter measures that can either prevent or dampen the effect of these seemingly inevitable cyber security attacks. One such tool, attack trees, provide a formal way of describing the varying attacks that could be mounted against a system. Though they are limited because their development is time intensive, work has been done on automating this process with attack tree generators. In this thesis, we provide suggested design modifications to be made on existing attack tree generators to work on IoT and OT systems.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 73-77).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Persistent DSpace Link
