Ph.D. Research

Her Ph.D. research spans two research areas: network forensics and mobility management.

• Network forensics in wireless/mobile network environments [3, 4]. Network forensics can be divided into 1) detecting malicious behaviors that misuse vulnerabilities of network systems to disrupt network systems and 2) collecting network-based evidence associated with a crime and inferring a criminal for helping law enforcement's cyber-crime investigation. In part of 1), we propose a method to detect data-forwarding misbehavior attacks and identify a source of misbehavior [4]. In part of 2), we gather network-based evidence based on constraints imposed by current U.S. law, for remotely disambiguating a sender's network access type (wired versus wireless); such a technique could be used to determine that a sender is connected physically to a network inside a building [3].
  • [FYI] Unlike 1), the important step of 2) is to justify the legality of network measurement methodologies; for a better understanding on U.S. cyber-crime laws and a procedure that discusses and justifies the legality of your network measurement methodologies, please visit Professor Brian Neil Levine's lecture page
• FIA (Future Internet Architecture) MobilityFirst [1, 2] [slides]. The MobilityFirst project is a clean-state approach to design a future Internet architecture that considers mobility as a first-order property. The MobilityFirst uses flat, globally unique names, binding a flat name to its network location via a logically centralized name- and location-resolution server. First, we present a measurement and modeling study of user transitioning among points of attachment to today’s Internet, resulting from a user’s physical mobility or a stationary “multi-homed” user’s changing his/her devices or NICs [2]. Second, we design techniques for efficiently handling group mobility using the notion of indirection in MobilityFirst [1].

[Keyword] Network protocol and architecture design, analysis, measurement, modeling, machine learning, data mining, statistics

Publications

• Forensic and Management Challenges in Wireless and Mobile Network Environments [pdf][defense slides]
  • Sookhyun Yang, Ph.D. Dissertation, Sep 2015

[1] Group mobility indirection [pdf]

• Sookhyun Yang, Jim Kurose, and Arun Venkataramani
• Technical report UM-CS-2015-015, Dept. of CS, UMass Amherst, 2015

[2] Measurement and Modeling Study of User Transitioning Among Networks [pdf][ppt]

• Sookhyun Yang, Jim Kurose, Simon Heimlicher, and Arun Venkataramani
• IEEE INFOCOM 2015 conference [pdf][ppt]
• New England Networking and Systems Day 2014 (NENS'14) [abstract][poster]
• Technical report UM-CS-2014-023, Dept. of CS, UMass Amherst, 2014 [full paper]

[3] Disambiguation of Residential Wired and Wireless Access in a Forensic Setting [pdf][ppt]

• Sookhyun Yang, Jim Kurose, and Brian Neil Levine
• IEEE INFOCOM 2013 mini-conference [pdf][ppt]
• Technical report UM-CS-2013-001, Dept. of CS, UMass Amherst, 2013 [full paper]

[4] Witness-based Detection of Forwarding Misbehavior in Wireless Networks [pdf][ppt]

• Sookhyun Yang, Sudarshan Vasudevan, and Jim Kurose
• Fast tracked and invited paper in IEEE Wireless Mesh Networks Workshop 2010 in conjunction with SECON 2010
• IEEE INFOCOM 2009 Student Workshop [pdf][poster]
• Technical report UM-CS-2009-001, Dept. of CS, UMass Amherst, 2009 [full paper]