Low-Level Hardware Information Assisted Approach Towards System Security

#Low-Level #Hardware #Information #Assisted #Approach #Towards #System #Security
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Cyber-attacks come in many different shapes and forms. In order to combat modern cyber-attacks, cyber-security researchers have to play the game of “cat and mouse” in analyzing and discovering the vulnerabilities of the system to come out on top against the malicious attackers. However, the traditional static detection systems are not able to differentiate between benign and malicious behaviors effectively. In this talk, I will share our thoughts on the detection of different attacks through modeling the execution behavior of an application using low-level hardware information. Our approaches can provide more flexibility for detection schemes by performing dynamic behavioral analysis at run-time. With anomaly detection methods, the abnormal behaviors that deviate from benign behaviors at run-time can be flagged and captured.  



  Date and Time

  Location

  Hosts

  Registration



  • Add_To_Calendar_icon Add Event to Calendar
  • 1000 River Road
  • Teaneck, New Jersey
  • United States 07666
  • Building: Muscarelle M105

  • Contact Event Hosts
  • Hong Zhao (zhao@fdu.edu), Alfredo Tan (tan@fdu.edu)

     

     

     

  • Co-sponsored by Fairleigh Dickinson University
  • Starts 07 February 2026 05:00 AM UTC
  • Ends 08 April 2026 05:40 PM UTC
  • No Admission Charge


  Speakers

Chen Liu of Department of Electrical and Computer Engineering, Clarkson University

Topic:

Title: Low-Level Hardware Information Assisted Approach Towards System Security

Cyber-attacks come in many different shapes and forms. In order to combat modern cyber-attacks, cyber-security researchers have to play the game of “cat and mouse” in analyzing and discovering the vulnerabilities of the system to come out on top against the malicious attackers. However, the traditional static detection systems are not able to differentiate between benign and malicious behaviors effectively. In this talk, I will share our thoughts on the detection of different attacks through modeling the execution behavior of an application using low-level hardware information. Our approaches can provide more flexibility for detection schemes by performing dynamic behavioral analysis at run-time. With anomaly detection methods, the abnormal behaviors that deviate from benign behaviors at run-time can be flagged and captured.

 

 

 

 

 

Biography:

 

Dr. Chen Lui  is currently Professor in the Department of Electrical and Computer Engineering at Clarkson University, Potsdam, New York. His research has been focusing on the interaction between hardware and system software, especially using low-level hardware information to model software behavior. Dr. Liu earned his M.S. in electrical engineering from University of California, Riverside in 2002 and his Ph.D. in electrical and computer engineering from University of California, Irvine in 2008, respectively. He is a senior member of both IEEE and ACM.

 

Email:

Address:United States





Agenda

IEEE North Jersey Section Computer Chapter and Signal Processing Chapter Seminar

Title: Low-Level Hardware Information Assisted Approach Towards System Security 

Speaker: Prof. Chen Liu,  Department of Electrical and Computer Engineering, Clarkson University

Time: 1:30pm-2:30pm

Fairleigh Dickinson University

1000 River Road,  Building: Muscarelle Center, Room Number: 105

Teaneck, New Jersey, United States 07666

For additional information about the venue and parking, please contact

Dr. Hong Zhao 

zhao@fdu.edu