David Mohaisen

I am an Associate Professor of Computer Science at the University of Central Florida. My research focus is computer security and online privacy including applied machine learning^[1][2] DDoS attacks and defeses^[3][4] blockchain systems and their security^[5][6] software analysis and security^[7][8] critical infrastructure security^[9][10] IoT security^[11][12] and wearables security^[13][14]. I obtained my PhD from the University of Minnesota working with Yongdae Kim (advisor) and Nick Hopper. At UCF I direct the Security and Analytics Lab (SEAL).

I am a Senior Member of ACM (since 2018) and IEEE (since 2015) a Distinguished Speaker of ACM (2021-2024; request) and Distinguished Visitor of IEEE's Computer Society (2021-2023; request).

More details are in my CV and statements (research teaching service diversity efforts impact).

Teaching: Fall 2021: Foundations of Computer Security. Office Hours: (Summer 2021): by appointment.

Openings: I am always looking for UCF B.Sc./M.Sc. students to work with me on exciting projects in the area of computer security and online privacy. Email me (at mylastname@ucf.edu) for more details.

Selected Recent Conference Publications

Also my DBLP and Google Scholar profiles for complete lists

Revisiting Nakamoto Consensus in Asynchronous Networks ACM CCS 2021
SyncAttack: Double-spending in Bitcoin Without Mining Power ACM CCS 2021
Optimizing Integrity Tree Updates for Write-Intensive Secure NVMs ACM ICS 2021. Best Paper Candidate
Adversarial Example Detection Using Latent Neighborhood Graph IEEE ICCV 2021
Root Cause Analyses for the Deteriorating Bitcoin Network Synchronization IEEE ICDCS 2021
SIA: Smartwatch-Enabled Inference Attacks on Physical Keyboards Using Acoustic Signals ACM WPES 2021
Deep Learning-Based Automated Privacy Policy Annotation with Key Policy Highlights ACM WPES 2021
Evaluating the Robustness of ML-based IoT Malware Detectors IEEE DSN 2021. Best Paper (Fast Abstract)
Multi-χ: Identifying Multiple Authors from Source Code Files PoPETs/PETS 2020
Detecting Adversarial Examples in Control Flow Graph-based Malware Classifiers IEEE ICDCS 2020
Adversarial Learning-based Approach to Defend Against Website Fingerprinting IEEE INFOCOM 2020
SketchFlow: Per-Flow Systematic Sampling Using Sketch Saturation Event IEEE INFOCOM 2020
Exploring Spatial Temporal and Logical Attacks on the Bitcoin Network IEEE ICDCS 2019
Where Are You Taking Me? Behavioral Analysis of Open DNS Resolvers IEEE DSN 2019
Large-Scale and Language-Oblivious Code Authorship Identification ACM CCS 2018
ABC: Enabling Smartphone Authentication with Built-in Camera ISOC NDSS 2018
ShmCaffe: A Distributed Deep Learning Platform with Shared Memory IEEE ICDCS 2018
Towards Blockchain-Driven Secure and Transparent Audit Logs ACM DLoT 2018. Best Paper Award
Defending Against Voice Impersonation Attacks on Smartphones IEEE ICDCS 2017. Best Paper Award
Large-scale Invisible Attack on AFC Systems with NFC-equipped Smartphones IEEE INFOCOM 2017
Uncovering game bots in MMORPGs via self-similarity in the wild ISOC NDSS 2016
Delving into Internet DDoS Attacks by Botnets: Characterization and Analysis IEEE DSN 2015
Measuring Botnets in the Wild: Some New Trends ACM AsiaCCS 2015
Revealing DDoS Attack Dynamics behind the Scenes DIMVA 2015
High-Fidelity Behavior-based Automated Malware Analysis. WISA 2014. Best Paper Award
Measuring Domain Forwarding and Applications at the Internet Scale ACM IMC 2014
Measuring the Leakage of Onion at the Root ACM WPES 2014
AV-Meter: An Evaluation of Antivirus Scans and Labels DIMVA 2014
Losing control of the Internet: Using the data plane to attack the control plane ISOC NDSS 2011
Measuring the mixing time of social graphs ACM IMC 2010

Selected Recent Journal Publications

A Large-Scale Behavioral Analysis of the Open DNS Resolvers IEEE/ACM Trans. Networking 2022
Exploring Partitioning Attacks on the Bitcoin Network IEEE/ACM Trans. Networking 2022
Large-Scale and Robust Code Authorship Identification with Deep Feature Learning ACM TOPS 2021
Deep learning-based fine-grained hierarchical learning for robust malware detection IEEE TDSC 2021
e-PoS: making proof-of-stake decentralized and fair IEEE TPDS 2021
A one-page text entry method optimized for recentagle smartwatches IEEE TMC 2021
ShellCore: automating malicious IoT software detection using shell commands IEEE IoT Journal 2021
Sensor-based continous authentication using behavioral biometrics IEEE IoT Journal 2021
SSD-Assisted ransomware detection and data recovery techniques IEEE Transactions on Computers 2021
GraphShield: dynamic large graphs for secure queries with forward privacy IEEE TKDE 2020
Characterizing Blockchains for Highly-Accurate Predictions IEEE Sys. Journal 2020. Best Paper Award
A Data-Driven Study of DDoS Attacks and Their Dynamics IEEE TDSC 2020
Look-aside At Your Own Risk: Privacy Implications of DNSSEC Look-aside Validation IEEE TDSC 2020
Low-Cost Mechanisms to Restoration of Encrypted Non-Volatile Memories IEEE TDSC 2020
Rogue Access Point Detection Using Intentional Channel Interference IEEE TMC 2020
Exploring the Attack Surface of Blockchain: A Systematic Overview IEEE CS&T 2020
AUToSen: Deep Learning-based Implicit Continuous Authentication IEEE IoT Journal 2020

Doctoral Advisees

I am very proud of the talented current and past students I had the opportunity to work with (complete list)

Jeffrey Spaulding (PhD 2018) → Assistant Professor at Canisius College → Booz Allen
Ashar Ahmad (PhD 2019) → Director of Research at Clear Village Inc.
Mo Abuhamad (PhD 2020) → Assistant Professor at Loyola University Chicago
Hisham Alasmary (PhD 2020) → Assistant Professor at King Khalid University
Jinchun Choi (PhD 2020) → Postdoc at Texas A&M University
Rhongho Jang (PhD 2020) → Assistant Professor at Wayne State University
Jeman Park (PhD 2020) → Postdoc at Georgia Institute of Technology
Afsah Anwar (PhD 2021) → Postdoc at Northeastern University
Muhammad Saad (PhD 2021) → Researcher at PayPal
Ahmed Abusnaina (2018--) PhD candidate computer science
Sultan Alshamrani (2018--) PhD candidate computer science
Ulku Meteriz (2018--) PhD candidate computer science
Abdulrahman Alabduljabbar (2019--) PhD student computer science
Mohammed Alkinoon (2020--) PhD student computer science
Ayodeji Adeniran (2021--) PhD student modeling and simulation
Saad Almohaimeed (2021--) PhD student computer science
Saleh Almohaimeed (2021--) PhD student computer science
Soohyeon Choi (2021--) PhD student computer science
Ran Gedawy (2021--) PhD student computer science
Marwan Omar (2021--) PhD student computer science
Kyle Thomas (2021--). PhD student computer science (co-advised with Dr. Yan Solihin)