Cybersecurity Lecture Series with Hong Hu

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Event Details
  • Date/Time:
    • Friday February 23, 2018 - Saturday February 24, 2018
      12:00 pm - 12:59 pm
  • Location: Klaus Advanced Computing Building, Room 1116W, 266 Ferst Drive NW, Atlanta, GA
  • Phone:
  • URL: RSVP
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact

lindsey.panetta@gtri.gatech.edu

Summaries

Summary Sentence: Free, open-to-the public discussion about cybersecurity risks, trends, and techniques.

Full Summary: On Friday, Feb. 23 guest speaker Hong Hu Ph.D. will present his lecture titled, "Hacking Data-Flow for Turing-Complete Attacks".

Media
  • Hong Hu Hong Hu
    (image/jpeg)
  • Cybersecurity Lecture Series by IISP Cybersecurity Lecture Series by IISP
    (image/jpeg)

The Cybersecurity Lecture Series at Georgia Tech is a free, one-hour lecture from a thought leader who is advancing the field of information security and privacy. Invited speakers include executives and researchers from Fortune 500 companies, federal intelligence agencies, start-ups and incubators, as well as Georgia Tech faculty and students presenting their research. Lectures are open to all -- students, faculty, industry, government, or simply the curious.

RSVP

On Friday, Feb. 23 guest speaker Hong Hu Ph.D. will give a lecture titled "Hacking Data-Flow for Turing-Complete Attacks".

Control-flow hijacking attacks from memory errors become more and more difficult as targeted defense mechanisms gain wide deployment. As an alternative, non-control data attacks do not require diverting the application’s control flow, and thus can bypass existing advanced defense mechanisms. Although it is known that such data-oriented attacks can mount significant damage, we are not clear about their real expressiveness. In this talk, Dr. Hu will first present data-flow stitching, a systematic method to build data-oriented attacks. Instead of corrupting individual data inside the program, data-flow stitching breaks existing data-flows and connects the fragments in a malicious manner, thus enabling systematic construction. Then I will propose data-oriented programming, a novel method to build expressive data-oriented attacks, even Turing-complete attacks. Finally, Dr.Hu will show data-oriented attacks against Chromium that bypass the fundamental SOP policy.

Dr. Hong Hu is a postdoctoral fellow in School of Computer Science, College of Computing, the Georgia Institute of Technology. His research interest focuses on system security. Currently, he is working on the memory error detection, exploitation and defense. His research work has been published on Oakland, Usenix, CCS, ESORICS, ICECCS. He has received the Best Paper Award from ICECCS'2014. Before joining Georgia Tech, he obtained his PhD degree from National University of Singapore.

 

Additional Information

In Campus Calendar
Yes
Groups

Institute for Information Security and Privacy

Invited Audience
Faculty/Staff, Public, Graduate students
Categories
No categories were selected.
Keywords
Cybersecurity, hacking
Status
  • Created By: lpanetta3
  • Workflow Status: Published
  • Created On: Feb 16, 2018 - 4:24pm
  • Last Updated: Feb 16, 2018 - 4:24pm