David A. Mohaisen
Office: HPA-2 240
4364 Scorpius St., Orlando, FL 32816
mohaisen@ucf.edu | 407-823-1294

Recent News

04/28/2020: Rhongho will join Wayne State as an assistant professor in Fall 2020!
04/01/2020: Mo will join Loyola as an assistant professor in Fall 2020!
03/15/2020: Hisham will join KKU as an assistant professor in Fall 2020
03/01/2020: TPC of ACM WiSec 2020
02/26/2020: Hisham defended successfully.
hisham
01/15/2020: I was interviewed by Fox35.
aziz
12/04/2019: SketchFlow in INFOCOM 2020
12/04/2019: DFD in INFOCOM 2020
11/01/2019: ACM CoNEXT 2019 Program!
10/26/2019: Ashar defended successfully
03/15/2019: InstaMeasure in ICDCS 2019
03/15/2019: BPartition in IEEE ICDCS 2019
03/15/2019: GEA in IEEE ICDCS 2019
03/10/2019: OpenProxy in IEEE DSN 2019.
03/01/2019: Poster co-chair of ACM WiSec.
03/01/2019: TPC of PoPETS 2020
02/25/2019: RAP accepted in IEEE TMC
02/14/2019: RouteChain in IEEE ICBC 2019.
02/14/2019: MemPool in IEEE ICBC 2019.
02/15/2019: HChain in IEEE ICC 2019
01/07/2019: Jinchun is a PhD candidate
01/07/2019: Rhongho is a PhD candidate
12/13/2018: Organizing ACM CoNEXT
11/04/2018: Best Paper @ ACM DLoT 2018.
11/01/2018: Ashar is a PhD Candidate.
11/01/2018: Hisham is a PhD Candidate.
10/26/2018: Hosted 60 K-12 for STEM Day
08/06/2018: Co-chair, SECURECOMM 2019
06/08/2018: Hosted 80 K-12 for sec. camp
summer camp
04/01/2018: Jeff joins Niagara University
03/15/2018: ACM Senior Member
03/10/2018: 2xPaper in IEEE ICDCS 2018
03/01/2018: Ahmed got ORC fellowship
01/15/2018: 2xPaper in IEEE TDSC
01/01/2018: Editorial board of IEEE TMC

I am an Associate Professor of CS at UCF. My research interests focus on computer security and online privacy, including applied machine learning (PETS'20, CCS'18), DDoS attacks and defeses (ICDCS'17, DSN'15), blockchain systems and their security (ICDCS'19, ICBC'19), software analysis and security (ICDCS'19, TMC'19), critical infrastructure security (DSN'19, INFOCOM'20), IoT security (NDSS'18, ICDCS'19), and AR/VR/Wearables security (NDSS'16, ICDCS'20). I obtained my PhD from the University of Minnesota in 2012, and was advised by Yongdae Kim. Before joining UCF, I was an Assistant Professor at SUNY Buffalo, a Senior Scientist at Verisign Labs, and a Research Engineer at ETRI in South Korea.

My work was awarded several best paper awards (including IEEE Systems Journal 2020, IEEE DSC 2019, ACM DLoT 2018, IEEE ICDCS 2017, WISA 2014). I also received the Summer Faculty Fellowship from the US AFOSR (2016).

I am an editor of IEEE Transactions on Mobile Computing, Elsevier Computer Networks, and ETRI Journal (Wiley), and served on ACM CoNEXT 2019 (general chair), SecureComm 2019 (PC chair), ISOC NDSS, PETS, ACM MobiSys, and ACM AsiaCCS, IEEE INFOCOM, ICDCS, CNS, WWW, etc. My work was supported by NSF, NRF, AFRL, AFOSR, NVIDIA and CyberFlorida, published in top conferences such as CCS, NDSS, PETS, IMC, DSN, ICDCS, INFOCOM, and AsiaCCS, etc. My work was featured in MIT TR, New Scientist, Scientific American, Financial Times, The Verge, and Slate, etc. I am a Senior Member of ACM (2018) and IEEE (2015).

Current Service: I am on the Program Committee of PETS 2021

Recent PhD Graduates

Selected Recent Publications (DBLP Google Scholar)

PoPETs/PETS 2020
Multi-χ: Identifying Multiple Authors from Source Code Files (~20%)
IEEE ICDCS 2020
Soteria: Detecting Adversarial Examples in Control Flow Graph-based Malware Classifiers (18%)
IEEE ICDCS 2020
Understanding the Potential Risks of Sharing Elevation Information on Fitness Applications (18%)
IEEE INFOCOM 2020
DFD: Adversarial Learning-based Approach to Defend Against Website Fingerprinting (19%)
IEEE INFOCOM 2020
SketchFlow: Per-Flow Systematic Sampling Using Sketch Saturation Event (19%)
IEEE Sys Journal 2020
Characterizing blockchain-based systems for highly-accurate predictions Best Paper Award (top 1%)
IEEE ICDCS 2019
Adversarial Learning Attacks on Graph-based IoT Malware Detection Systems (19.6%)
IEEE ICDCS 2019
InstaMeasure: Instant Per-flow Detection Using Large In-DRAM Working Set of Active Flows (19.6%)
IEEE ICDCS 2019
Exploring Spatial, Temporal, and Logical Attacks on the Bitcoin Network (19.6%)
IEEE DSC 2019
Examining the Robustness of Learning-Based DDoS Detection in SDN Best Paper - Runner up
APWG eCrime 2019
Dine and Dash: Static, Dynamic, and Economic Analysis of In-Browser Cryptojacking
IEEE ICBC 2019
Mempool Optimization for Defending Against DDoS Attacks in PoW-based Blockchains (19.6%)
IEEE/IFIP DSN 2019
Where Are You Taking Me? Behavioral Analysis of Open DNS Resolvers (~20%)
ACM CCS 2018
Large-Scale and Language-Oblivious Code Authorship Identification (16%)
ISOC NDSS 2018
ABC: Enabling Smartphone Authentication with Built-in Camera (~20%)
IEEE ICDCS 2018
SSD-Insider: Internal Defense of Solid-State Drive against Ransomware (18%)
IEEE ICDCS 2018
ShmCaffe: A Distributed Deep Learning Platform with Shared Memory (18%)
ACM DLoT 2018
Towards Blockchain-Driven, Secure and Transparent Audit Logs Best Paper Award
IEEE ICDCS 2017
An Adversary-Centric Behavior Modeling of DDoS Attacks (17%)
IEEE ICDCS 2017
Defending Against Voice Impersonation Attacks on Smartphones Best Paper Award (student)
IEEE INFOCOM 2017
Large-scale Invisible Attack on AFC Systems with NFC-equipped Smartphones (18%)
ISOC NDSS 2016
Uncovering game bots in MMORPGs via self-similarity in the wild (15%)
ACM ASIACCS 2015
Measuring Botnets in the Wild: Some New Trends (22%)
IEEE DSN 2015
Delving into Internet DDoS Attacks by Botnets: Characterization and Analysis (22%)
WISA 2014
AMAL: High-Fidelity, Behavior-Based Automated Malware Analysis and Classification Best Paper Award
ACM IMC 2014
Measuring Domain Forwarding and Applications at the Internet Scale (20.3%)
ACM ASIACCS 2013
Dynamix: anonymity on dynamic social structures (22%)
ACM ASIACCS 2012
On the mixing time of directed social graphs and security implications (18%)
IEEE INFOCOM 2012
Dynamic energy-oriented scheduling for sustainable wireless sensor networks (18%)
ISOC NDSS 2011
Losing control of the Internet: Using the data plane to attack the control plane (18%)
IEEE INFOCOM 2011
Incorporating trust into social network-based Sybil defenses (16%)
ACM IMC 2010
Measuring the mixing time of social graphs (22%)
IEEE TDSC 2019
Towards Low-Cost Mechanisms to Enable Restoration of Encrypted Non-Volatile Memories (6.404)
IEEE TDSC 2019
A Data-Driven Study of DDoS Attacks and Their Dynamics (6.404)
IEEE TDSC 2018
Look-aside At Your Own Risk: Privacy Implications of DNSSEC Look-aside Validation (6.404)
IEEE TDSC 2015
Timing Attacks on Access Privacy in ICN and Countermeasures (6.404)
IEEE TDSC 2014
Secure encounter-based social networks: Requirements, challenges, and designs (6.404)
IEEE TMC 2019
Catch Me If You Can: Rogue Access Point Detection Using Intentional Channel Interference (4.474)
IEEE TMC 2019
Android Malware Detection using Complex-Flows (4.474)
IEEE TMC 2014
Keylogging-resistant Visual Authentication Protocols (4.474)
IEEE IoT J 2020
AUToSen: Deep Learning-based Implicit Continuous Authentication Using Smartphone Sensors (9.515)
IEEE IoT J 2019
Analyzing and Detecting Emerging Internet of Things Malware: A Graph-based Approach (9.515)
IEEE IoT J 2019
Two-Stage IoT Device Scheduling with Dynamic Programming for Energy Internet Systems (9.515)
ACM/IEEE ToN 2018
Delving into Internet DDoS Attacks by Botnets: Characterization and Analysis (3.597)
ACM/IEEE ToN 2017
Leakage of .onion at the DNS Root: Measurements, Causes, and Countermeasures (3.597)
RFC 8391 / 2018
XMSS: Extended Hash-Based Signatures Standard
Acknowledgement: We are supported by NRF and CyberFlorida. Previous sponsors include NSF, AFRL, AFOSR, FC2, and NVIDIA.