Problem sets, laboratory assignments, or the course project submitted after the due date/time are considered late and will not be graded, except in cases of documented emergencies (see Late Submission Policy below).
Excused absences for classes will be given without penalty to the grade in the case of (1) a university-sanctioned event (ACD 304-02); (2) religious holidays (ACD 304-04; a list of religious holidays can be found at https://eoss.asu.edu/cora/holidays); or (3) work performed in the line of duty (SSM 201-18). Students who request an excused absence must follow the applicable policy/procedure guidelines. Excused absences do not relieve students of responsibility for any part of the course work required during the period of absence.
Class sessions in this course are not recorded by the instructor.
All students are expected to adhere to the ASU Student Honor Code and the ASU academic integrity policy, which can be found at https://provost.asu.edu/academic-integrity/policy. Students are responsible for reviewing this policy and understanding each of the areas in which academic dishonesty can occur. In addition, all engineering students are expected to adhere to both the ASU Academic Integrity Honor Code and the Fulton Schools of Engineering Honor Code. If you have taken this course before, you may not reuse or submit any part of your previous assignments without the express written permission from the instructor. All student academic integrity violations are reported to the Fulton Schools of Engineering Academic Integrity Office (AIO). Withdrawing from this course will not absolve you of responsibility for an academic integrity violation and any sanctions that are applied. The AIO maintains a record of all violations and has access to academic integrity violations committed in all other ASU college/schools.
Generative AI is a technology that can often be useful in helping students learn the theories and concepts in this course. However, unless explicitly allowed by the instructor, the use of generative AI tools to complete any portion of a course assignment or exam will be considered academic dishonesty and a violation of the ASU Academic Integrity Policy. Students confirmed to be engaging in non-allowable use of generative AI will be sanctioned according to the academic integrity policy and FSE sanctioning guidelines.
You must refrain from uploading to this course shell, discussion board, website used by the course instructor, or any other course forum, material that is not your own original work, unless you first comply with all applicable copyright laws. Course instructors reserve the right to delete materials from the course shell on the grounds of suspected copyright infringement.
The contents of this course, including lectures and other instructional materials, are copyrighted materials. Students may not share outside the class, including uploading, selling, or distributing course content or notes taken during the conduct of the course. Any recording of class sessions by students is prohibited, except as part of an accommodation approved by the Disability Resource Center (see ACD 304-06, "Commercial Note Taking Services" and ABOR Policy 5-308 F.14 for more information).
Students, faculty, staff, and other individuals do not have an unqualified right of access to university grounds, property, or services (see SSM 104-02). Interfering with the peaceful conduct of university-related business or activities or remaining on campus grounds after a request to leave may be considered a crime. All incidents and allegations of violent or threatening conduct by an ASU student (whether on- or off-campus) must be reported to the ASU Police Department (ASU PD) and the Office of the Dean of Students.
Suitable accommodations are made for students having disabilities. Students needing accommodation must register with the ASU Student Accessibility and Inclusive Learning Services office and provide documentation of that registration to the instructor. Students should communicate the need for an accommodation in enough time for it to be properly arranged. See ACD 304-08 Classroom and Testing Accommodations for Students with Disabilities.
Arizona State University is committed to providing an environment free of discrimination, harassment, or retaliation for the entire university community, including all students, faculty members, staff employees, and guests. ASU expressly prohibits discrimination, harassment, and retaliation by employees, students, contractors, or agents of the university based on any protected status: race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, and genetic information. Title IX is a federal law that provides that no person be excluded on the basis of sex from participation in, be denied benefits of, or be subjected to discrimination under any education program or activity. Both Title IX and university policy make clear that sexual violence and harassment based on sex is prohibited. An individual who believes they have been subjected to sexual violence or harassed on the basis of sex can seek support, including counseling and academic support, from the university. If you or someone you know has been harassed on the basis of sex or sexually assaulted, you can find information and resources at https://sexualviolenceprevention.asu.edu/faqs. As a mandated reporter, the instructor is obligated to report any information they become aware of regarding alleged acts of sexual discrimination, including sexual violence and dating violence. ASU Counseling Services (https://eoss.asu.edu/counseling) is available if you wish to discuss any concerns confidentially and privately. ASU online students may access 360 Life Services (https://goto.asuonline.asu.edu/success/online-resources.html).
Arizona State University requires each enrolled student and university employee to have on file with ASU a current photo that meets ASU's requirements (your "Photo"). ASU uses your Photo to identify you, as necessary, to provide you educational and related services as an enrolled student at ASU. If you do not have an acceptable Photo on file with ASU, or if you do not consent to the use of your photo, access to ASU resources, including access to course material or grades (online or in person), may be negatively affected, withheld, or denied.
You must have access to Wi-Fi that allows you to properly complete all course assignments and other requirements.
Students in this class are expected to acknowledge and embrace the FSE student professionalism expectations located at https://engineering.asu.edu/professionalism/.
Problem sets or laboratory assignments or course project submitted after the due date/time are considered late and will not be graded. Late submissions will only be graded in cases of documented emergencies.
Discussion of course material and collaboration with other students is encouraged but each student must write/type and submit his/her own solution. Your essays, code and proofs (if applicable) should never contain sections which are identical to the submission of another student, past or present. Submitted work must be entirely that of the student(s) whose name(s) appear(s) on the submission and not solicited in any way from others. Violation of these policies can result in automatic failure of the course.
| Week | Tuesday | Thursday |
|
Topic Introduction to cybersecurity: Hardware Perspective |
Classes begin Thursday |
Aug. 20 Overview of Hardware Security M. Kinsy |
|
Topic Taxonomy & Classical Encryption |
Aug. 25 Taxonomy of Hardware Security M. Kinsy |
Aug. 27 Classical Encryption Techniques M. Kinsy |
|
Topic Classic and Modern Encryption Algorithms |
Sep. 01 Modern Encryption Techniques M. Kinsy |
Sep. 03 Encryption & Digital Signatures M. Kinsy |
|
Topic Message Authentication: Secrecy vs. Integrity |
Sep. 08 Distributed Key Management Project 1 DUE M. Kinsy |
Sep. 10 Confidentiality Assessment M. Kinsy |
|
Topic Information Leakage |
Sep. 15 Covert Channels M. Kinsy |
Sep. 17 Side-Channels M. Kinsy |
|
Topic Trusted digital system design |
Sep. 22 Verilog Fundamentals M. Kinsy |
Sep. 24 Hardware Root-of-Trust Design Project 2 DUE M. Kinsy |
|
Topic Hardware Security Primitives |
Sep. 29 Project Work Session / Q&A M. Kinsy |
Oct. 01 Physical Unclonable Functions M. Kinsy |
|
Topic Hardware Security Primitives (cont.) |
Oct. 06 Oblivious RAM (ORAM) & Rowhammer M. Kinsy |
Oct. 08 Hardware Trojans M. Kinsy |
|
Topic Fall Break / Anti-Tamper |
Oct. 13 Fall Break - No Class |
Oct. 15 Anti-Tamper Design Techniques Project 3 DUE M. Kinsy |
|
Topic Homomorphic Encryption (HE) |
Oct. 20 Homomorphic Encryption Algorithms M. Kinsy |
Oct. 22 HE Software and Hardware Libraries M. Kinsy |
|
Topic Post-Quantum Encryption (PQC) |
Oct. 27 PQC Algorithms |
Oct. 29 PQC Implementation Examples |
|
Topic Embedded systems (ES) security |
Nov. 03 Connected Component Security |
Nov. 05 Trusted Compute Base for ES Project 4 DUE |
|
Topic Programmable Hardware Systems Security |
Nov. 10 Project Work Session / Q&A |
Nov. 12 FPGA Security Concerns |
|
Topic Programmable Hardware / Secure Processor Design |
Nov. 17 Watermarks and Identifiers |
Nov. 19 Trusted Execution Environment (TEE) |
|
Topic Secure Processor Design / Thanksgiving |
Nov. 24 Enclave-Based Computing |
Nov. 26 Thanksgiving Holiday - No Class |
|
Topic Review &Presentations |
Dec. 01 Hardware Security Primitives (Review) |
Dec. 03 Secure Design Patterns Project 5 DUE |