Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


dissertation with changes.pdf (2.85 MB)

ETD Abstract Container

Abstract Header

AMYNA: A Security Generator and Performance Estimator Framework Against Memory-Based Attacks

Trikalinou, Anna
http://rave.ohiolink.edu/etdc/view?acc_num=wright1418998019

Abstract Details

2014, Doctor of Philosophy (PhD), Wright State University, Computer Science and Engineering PhD.
As we become more and more dependent on computer networks, using them for everything from banking and investing to shopping and communicating, computer security has emerged to be an increasingly important concern, due to undesirable cyber-security attacks. Thus, in response to this issue many efforts have been made towards accurate and robust computer security protection; however, the general problem is very challenging, diverse and ever-changing and remains still open. In this PhD dissertation we offer protection on one of these cyber-security attacks, the memory-based attacks, caused by one of the most critical software errors according to the MITRE ranking. When these attacks are successfully exploited by a malicious intruder, they can impose a very serious threat on a computer system and its information. This problem is examined from many perspectives in this thesis. In particular, we firstly present an extensive survey of security methodologies that deal with this type of attacks and propose a maturity metric to evaluate them. Next, we present our key contribution; AMYNA is our security generator and performance estimator framework that automatically: (i) produces a reliable execution time estimation of a software program when protected by multiple security methodologies and (ii) selects the combination of security methodologies that best matches one's security and performance criteria. Finally, we focus on Control Flow Hijacking and Data-Only attacks and propose a novel security technique, called EDIFT, which can accurately and deterministically detect and thwart them.
Nikolaos Bourbakis, Ph.D. (Advisor)
Soon Chung, Ph.D. (Committee Member)
Bin Wang, Ph.D. (Committee Member)
Sukarno Mertoguno, Ph.D. (Committee Member)
174 p.
Computer Science
computer science

Recommended Citations

Citations

  • Trikalinou, A. (2014). AMYNA: A Security Generator and Performance Estimator Framework Against Memory-Based Attacks [Doctoral dissertation, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1418998019

    APA Style (7th edition)

  • Trikalinou, Anna. AMYNA: A Security Generator and Performance Estimator Framework Against Memory-Based Attacks. 2014. Wright State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1418998019.

    MLA Style (8th edition)

  • Trikalinou, Anna. "AMYNA: A Security Generator and Performance Estimator Framework Against Memory-Based Attacks." Doctoral dissertation, Wright State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wright1418998019

    Chicago Manual of Style (17th edition)

wright1418998019
761
© 2014, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.