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Advanced Network Security And Malware

Instructor: Professor Sven Dietrich
 
Description
 
Advanced network security and malware analysis is an advanced course for
individuals interested in the theory and practice of network security.
This course will study approaches, mechanisms, and tools used to make
networks and software systems more secure against malware, based on a
survey of recent and seminal research papers. We will motivate the study
by discussing common software security dangers (e.g., buffer overflow
attacks, control-hijacking), common network security dangers (malware,
botnets, APTs), and malware analysis tools. The majority of the course
will be divided into three main modules: architectural approaches to
building secure software (e.g., confinement, virtual machines, trusted
computing); software analysis (e.g., static analysis and testing, model
checking, dynamic analysis) for finding software flaws as well as
analyzing malicious code; and network detection techniques for
network-based malware.
 
Students will be evaluated based on small projects, two papers, and
class participation. The projects will provide students with practical
experience with the tools and mechanisms studied in class. Students will
work on the projects in groups of two or three, and the projects will be
evenly spaced over the course of the semester.
 
The students are expected to have basic computer and network security
knowledge, as well as familiarity with Unix-based and Windows systems.

 
Learning Objectives
 
Understand the state of the art in control-hijacking and associated
defenses in software systems.
 
Understand the specific security architectures for system isolation
and analysis.
 
Understand the strengths and limitations of various methods of
software analysis, and their application of 
vulnerability discovery and
verification of security properties, as also applied to malware analysis.

 
Understand the state of the art in botnet detection techniques.
 
Reference books and web resources
 
Jelena Mirkovic, Sven Dietrich, David Dittrich, and Peter Reiher.
Internet Denial of Service: Attack and Defense Mechanisms, Prentice Hall
PTR, 2004.

Applied Crypto http://www.cacr.math.uwaterloo.ca/hac/
Additional online up-to-date materials will be provided as time
progresses, mostly from research conferences in systems-oriented security.

 
Tentative topics (Part 1: 2.5-3 weeks; Part 2: 4 weeks; Part 3: 4.5-5 weeks)
Part 1
 
Ethics in Cybersecurity
   Menlo Report: guidelines for ethical cybersecurity research

Software basics
   Review of the basics of code generation and trust.
Attacks
   Buffer overflows (stack, heap, etc.)
Defenses
   Separation, memory protection
   Virtual machines, sandboxing
   Isolation and confinement.
Control-flow integrity
Enforcing security properties at run-time
Part 2
 
Cryptography overview
Trusted Computing
  Software security architectures
  Static analysis of C programs
  Dynamic analysis
  Software model checking
  Building verifiable systems
 
 
 
Part 3
 
Malicious code analysis
   Sandboxed analysis
   Virtual machine introspection
   Malicious code classification
Botnet analysis & detection
   Activity-based (DDoS, click fraud)
   Command-and-Control (C&C) based
   Side-channel detection
   Correlation analysis
   Topologies
Advanced Persistent Threats
   Data exfiltration
   C&C
Moving Target Defense
   Diversification
   Adaptive defenses
 
Grade
 
There will be weekly in-class discussion
 
25%x3 projects

5% class participation

20% for writing 2 research papers
 
Policy
 
All assignments must be your own work and submitted on time. Late
submission without prior permission will not be graded.