UNIVERSITY OF CENTRAL FLORIDA

DEPARTMENT OF COMPUTER SCIENCE

CAP 6133: Advanced Topics in Computer Security and Computer Forensic

FALL 2018

Instructor:

Dr. Xinwen Fu

Office

RB1 378

Phone

407-823-5337

E-Mail

xinwenfu@ucf.edu

Homepage

https://www.cs.ucf.edu/~xinwenfu/

Office Hours:

9:00AM – 10:30AM MW

Course Name:

CAP 6133: Advanced Topics in Computer Security and Computer Forensics

Credits:

3.00

Duration:

Aug 20, 2018 - Dec 8, 2018

Time:

MoWe 10:30AM - 11:45AM

Location:

HEC 117

TA:

TBD

Email:

TBD

COURSE DESCRIPTION

Advanced topics in computer security and forensics such as cryptography; automatic intrusion detection, advanced pattern matching, statistical techniques, firewalls, and vulnerability scanning.

The goal of Fall 2018 of this class is to have students become acquainted with IoT security, privacy and forensics. The key objectives include: understand IoT frameworks, applications and security and privacy concerns; be familiar with IoT hardware security; master IoT system security; master IoT software security; master IoT network security; understand the IoT data security and privacy. In Fall 2018, we plan to design a secure environmental monitoring system. The class content will be tuned around this theme.

COURSE PREREQUISITES

DESCRIPTION OF INSTRUCTIONAL METHODS

COURSE REQUIREMENTS

Class Attendance Policy

Cheating and Plagiarism Policy

Make-up Exams

COURSE OBJECTIVES

EVALUATION PROCEDURES (tentative)

Components of Course Grade:

Assignments

20%

Midterm Exam

50%

Term Project

30%

Grade Scale: A (4.00), A- (3.75), B+ (3.25), B (3.00), B- (2.75), C+ (2.25), C (2.00), C- (1.75), D+ (1.25), D (1.00), D- (0.75), F (0.00)

A

90 ~ 100

A-

85 ~ 89.9

B+

80 ~ 84.9

B

75 ~ 80

B-

70 ~ 74.9

C+

65 ~ 69.9

C

60 ~ 64.9

D

50 ~ 59.9

F

below 50

Homework Assignments

Exams

Projects

UNIVERSITY DEADLINES: Refer to Academic Calendar

EARLY ALERT STATEMENT

Academic Success Support

As your professor, I am personally committed to supporting YOUR academic success in this course.  For that reason, if you demonstrate any academic performance or behavioral problems which may impede your success, I will personally discuss and attempt to resolve the issue with you.  If the situation persists, I will forward my concern to the Student Development Office and your academic advisor to seek their support and assistance in the matter.  My goal is to make your learning experience in this course as meaningful and successful as possible.

Americans with Disabilities Act (ADA) Statement

TENTATIVE CLASS SCHEDULE

The schedule may be adjusted based on the actual progress in the semester. The instructor reserves the right to change the topics. In Fall 2018, we plan to design a secure environmental monitoring system. The class content will be tuned around this theme.

Module

Week 

Topics

Slides

Description

Module 1

Introduction to the class 

Module 2

Review of basic security and privacy concepts and techniques needed for IoT

Module 3

IoT frameworks and applications

Module 4

IoT hardware security

Module 5

IoT system security

 

Module 6

IoT software security

Module 7

IoT network security

Module 8

IoT big data analytics

Module 9

Student paper presentation

Module 10

 Student project presentation

Presentation Order