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ORCIDDavid Mohaisen
David A. Mohaisen – Aziz Mohaisen – Abedelaziz Mohaisen
Person information
- affiliation: University of Central Florida, Department of Computer Science, Orlando, FL, USA
- affiliation (former): State University of New York at Buffalo, Buffalo, NY, USA
- affiliation (former, PhD 2012): University of Minnesota, Minneapolis, MN, USA
- affiliation (former): Inha University, Information Security Research Laboratory, Incheon, South Korea
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2020 – today
- 2024
[j86]Kazi Abu Zubair
, Rahaf Abdullah, David Mohaisen, Amro Awad:
RC-NVM: Recovery-Aware Reliability-Security Co-Design for Non-Volatile Memories. IEEE Trans. Dependable Secur. Comput. 21(4): 1817-1830 (2024)- [j85]Muhammad Saad, David Mohaisen:
Analyzing In-Browser Cryptojacking. IEEE Trans. Dependable Secur. Comput. 21(6): 5448-5460 (2024) - [j84]Ülkü Meteriz-Yildiran, Necip Fazil Yildiran, Joongheon Kim, David Mohaisen:
Learning Location From Shared Elevation Profiles in Fitness Apps: A Privacy Perspective. IEEE Trans. Mob. Comput. 23(1): 581-596 (2024) - [j83]Won Joon Yun, Myungjae Shin, David Mohaisen, Kangwook Lee, Joongheon Kim:
Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2510-2521 (2024) - [j82]Muhammad Saad, Afsah Anwar, Srivatsan Ravi, David Mohaisen:
Revisiting Nakamoto Consensus in Asynchronous Networks: A Comprehensive Analysis of Bitcoin Safety and Chain Quality. IEEE/ACM Trans. Netw. 32(1): 844-858 (2024) - [c180]Seyed Mohammad Mehdi Mirnajafizadeh, Ashwin Raam Sethuram, David Mohaisen, DaeHun Nyang, Rhongho Jang:
Enhancing Network Attack Detection with Distributed and In-Network Data Collection System. USENIX Security Symposium 2024 - [c179]Mohammed Alkinoon, Hattan Althebeiti, Ali Alkinoon, Manar Mohaisen, Saeed Salem, David Mohaisen:
Industry-Specific Vulnerability Assessment. WISE (5) 2024: 123-139 - [c178]Ahmed Abusnaina, Afsah Anwar, Muhammad Saad, Abdulrahman Alabduljabbar, Rhongho Jang, Saeed Salem, David Mohaisen:
Exposing the Limitations of Machine Learning for Malware Detection Under Concept Drift. WISE (2) 2024: 273-289 - [d2]Abdulaziz Alghamdi, Ali Alkinoon, Ahod Alghuried, David Mohaisen:
xr-droid: A Benchmark Dataset for AR/VR and Security Applications. IEEE DataPort, 2024
- [d1]Ali Al Kinoon, Abdulazi Alghamd, Ahod Alghuried, David Mohaisen:
Troid: Temporal and Cross-Sectional Android Dataset and Its Applications. IEEE DataPort, 2024 - [i76]Ayodeji Adeniran, Kieran Human, David Mohaisen:
Dissecting the Infrastructure Used in Web-based Cryptojacking: A Measurement Perspective. CoRR abs/2408.03426 (2024) - [i75]Ahod Alghuried, David Mohaisen:
Simple Perturbations Subvert Ethereum Phishing Transactions Detection: An Empirical Analysis. CoRR abs/2408.03441 (2024) - 2023
- [j81]Soyi Jung, Jae-Hyun Kim, David Mohaisen, Joongheon Kim:
Truthful and performance-optimal computation outsourcing for aerial surveillance platforms via learning-based auction. Comput. Networks 225: 109651 (2023) - [j80]Kyle Thomas, Muhammad Santriaji, David Mohaisen, Yan Solihin:
Exploration of Bitflip's Effect on Deep Neural Network Accuracy in Plaintext and Ciphertext. IEEE Micro 43(5): 24-34 (2023) - [j79]Manar Mohaisen, David Mohaisen:
Improving the Social Connectivity in Engineering Educational Networks and Implications. IEEE Trans. Educ. 66(1): 30-37 (2023) - [j78]Won Joon Yun, Soohyun Park, Joongheon Kim, David Mohaisen:
Self-Configurable Stabilized Real-Time Detection Learning for Autonomous Driving Applications. IEEE Trans. Intell. Transp. Syst. 24(1): 885-890 (2023) - [c177]Hattan Althebeiti, Brett Fazio, William Chen, David Mohaisen:
Poster: Mujaz: A Summarization-based Approach for Normalized Vulnerability Description. CCS 2023: 3537-3539 - [c176]Mohamed Alqadhi, Mohammed Alkinoon, Jie Lin, Ahmed Abdalaal, David Mohaisen:
Entangled Clouds: Measuring the Hosting Infrastructure of the Free Contents Web. CCSW@CCS 2023: 75-87 - [c175]Soohyeon Choi, Rhongho Jang, DaeHun Nyang, David Mohaisen:
Untargeted Code Authorship Evasion with Seq2Seq Transformation. CSoNet 2023: 83-92 - [c174]Mohamed Alqadhi, David Mohaisen:
The Infrastructure Utilization of Free Contents Websites Reveal Their Security Characteristics. CSoNet 2023: 255-267 - [c173]Ayodeji Adeniran, Mohammed Alkinoon, David Mohaisen:
Understanding the Utilization of Cryptocurrency in the Metaverse and Security Implications. CSoNet 2023: 268-281 - [c172]Mohamed Alqadhi, Ali Alkinoon, Saeed Salem, David Mohaisen:
Understanding the Country-Level Security of Free Content Websites and their Hosting Infrastructure. DSAA 2023: 1-10 - [c171]David Mohaisen:
Understanding the Privacy Dimension of Wearables through Machine Learning-enabled Inferences. SNTA@HPDC 2023: 1 - [c170]Mohammed Alkinoon, Abdulrahman Alabduljabbar, Hattan Althebeiti, Rhongho Jang, DaeHun Nyang, David Mohaisen:
Understanding the Security and Performance of the Web Presence of Hospitals: A Measurement Study. ICCCN 2023: 1-10 - [c169]Soohyeon Choi, Manar Mohaisen, Daehun Nyang, David Mohaisen:
Revisiting the Deep Learning-Based Eavesdropping Attacks via Facial Dynamics from VR Motion Sensors. ICICS 2023: 399-417 - [c168]Sian Kim, Changhun Jung, RhongHo Jang, David Mohaisen, DaeHun Nyang:
A Robust Counting Sketch for Data Plane Intrusion Detection. NDSS 2023 - [c167]Muhammad Saad, David Mohaisen:
Three Birds with One Stone: Efficient Partitioning Attacks on Interdependent Cryptocurrency Networks. SP 2023: 111-125 - [c166]Hattan Althebeiti, Ran Gedawy, Ahod Alghuried, Daehun Nyang, David Mohaisen:
Defending AirType Against Inference Attacks Using 3D In-Air Keyboard Layouts: Design and Evaluation. WISA 2023: 159-174 - [c165]Hattan Althebeiti, David Mohaisen:
Enriching Vulnerability Reports Through Automated and Augmented Description Summarization. WISA 2023: 213-227 - [e6]David Mohaisen, Thomas Wies:
Networked Systems - 11th International Conference, NETYS 2023, Benguerir, Morocco, May 22-24, 2023, Proceedings. Lecture Notes in Computer Science 14067, Springer 2023, ISBN 978-3-031-37764-8 [contents] - [i74]Muhammad Saad, David Mohaisen:
Analyzing In-browser Cryptojacking. CoRR abs/2304.13253 (2023) - [i73]Mohammed Abuhamad, Changhun Jung, David Mohaisen, DaeHun Nyang:
SHIELD: Thwarting Code Authorship Attribution. CoRR abs/2304.13255 (2023) - [i72]Mohammed Alkinoon, Abdulrahman Alabduljabbar, Hattan Althebeiti, Rhongho Jang, DaeHun Nyang, David Mohaisen:
Understanding the Security and Performance of the Web Presence of Hospitals: A Measurement Study. CoRR abs/2304.13278 (2023) - [i71]Abdulrahman Alabduljabbar, Runyu Ma, Ahmed Abusnaina, Rhongho Jang, Songqing Chen, DaeHun Nyang, David Mohaisen:
Measuring and Modeling the Free Content Web. CoRR abs/2304.14359 (2023) - [i70]Mohamed Alqadhi, Ali Alkinoon, Saeed Salem, David Mohaisen:
Understanding the Country-Level Security of Free Content Websites and their Hosting Infrastructure. CoRR abs/2305.14531 (2023) - [i69]Ahmed Abusnaina, Yizhen Wang, Sunpreet S. Arora, Ke Wang, Mihai Christodorescu, David Mohaisen:
Burning the Adversarial Bridges: Robust Windows Malware Detection Against Binary-level Mutations. CoRR abs/2310.03285 (2023) - [i68]Ayodeji Adeniran, Mohammed Alkinoon, David Mohaisen:
Understanding the Utilization of Cryptocurrency in the Metaverse and Security Implications. CoRR abs/2311.15360 (2023) - [i67]Mohamed Alqadhi, David Mohaisen:
The Infrastructure Utilization of Free Contents Websites Reveal their Security Characteristics. CoRR abs/2311.15363 (2023) - [i66]Soohyeon Choi, Rhongho Jang, DaeHun Nyang, David Mohaisen:
Untargeted Code Authorship Evasion with Seq2Seq Transformation. CoRR abs/2311.15366 (2023) - 2022
- [j77]Jumabek Alikhanov, Rhongho Jang, Mohammed Abuhamad, David Mohaisen, Daehun Nyang, Youngtae Noh:
Investigating the Effect of Traffic Sampling on Machine Learning-Based Network Intrusion Detection Approaches. IEEE Access 10: 5801-5823 (2022) - [j76]Marwan Omar, Soohyeon Choi, Daehun Nyang, David Mohaisen:
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions. IEEE Access 10: 86038-86056 (2022) - [j75]Changhun Jung, Mohammed Abuhamad, David Mohaisen, Kyungja Han, DaeHun Nyang:
WBC image classification and generative models based on convolutional neural network. BMC Medical Imaging 22(1): 94 (2022) - [j74]Jinchun Choi, Afsah Anwar, Abdulrahman Alabduljabbar, Hisham Alasmary, Jeffrey Spaulding, An Wang, Songqing Chen, DaeHun Nyang, Amro Awad, David Mohaisen:
Understanding Internet of Things malware by analyzing endpoints in their static artifacts. Comput. Networks 206: 108768 (2022) - [j73]Muhammad Saad, Afsah Anwar, Ashar Ahmad, Hisham Alasmary, Murat Yuksel, David Mohaisen:
RouteChain: Towards Blockchain-based secure and efficient BGP routing. Comput. Networks 217: 109362 (2022) - [j72]Hisham Alasmary, Afsah Anwar, Ahmed Abusnaina, Abdulrahman Alabduljabbar, Mohammed Abuhamad, An Wang, Daehun Nyang, Amro Awad, David Mohaisen:
ShellCore: Automating Malicious IoT Software Detection Using Shell Commands Representation. IEEE Internet Things J. 9(4): 2485-2496 (2022) - [j71]Ashar Ahmad, Muhammad Saad, Mohammed A. AlGhamdi, DaeHun Nyang, David Mohaisen:
BlockTrail: A Service for Secure and Transparent Blockchain-Driven Audit Trails. IEEE Syst. J. 16(1): 1367-1378 (2022) - [j70]Mazen Al-Wadi, Kazi Abu Zubair, David Mohaisen, Amro Awad:
Phoenix: Towards Ultra-Low Overhead, Recoverable, and Persistently Secure NVM. IEEE Trans. Dependable Secur. Comput. 19(2): 1049-1063 (2022) - [j69]Ahmed Abusnaina, Mohammed Abuhamad, Hisham Alasmary, Afsah Anwar, Rhongho Jang, Saeed Salem, DaeHun Nyang, David Mohaisen:
DL-FHMC: Deep Learning-Based Fine-Grained Hierarchical Learning Approach for Robust Malware Classification. IEEE Trans. Dependable Secur. Comput. 19(5): 3432-3447 (2022) - [j68]Afsah Anwar, Ahmed Abusnaina, Songqing Chen, Frank Li, David Mohaisen:
Cleaning the NVD: Comprehensive Quality Assessment, Improvements, and Analyses. IEEE Trans. Dependable Secur. Comput. 19(6): 4255-4269 (2022) - [j67]Won Joon Yun, Soohyun Park, Joongheon Kim, Myungjae Shin, Soyi Jung, David A. Mohaisen, Jae-Hyun Kim:
Cooperative Multiagent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control. IEEE Trans. Ind. Informatics 18(10): 7086-7096 (2022) - [j66]Minxin Du, Shuangke Wu, Qian Wang, Dian Chen, Peipei Jiang, Aziz Mohaisen:
GraphShield: Dynamic Large Graphs for Secure Queries With Forward Privacy. IEEE Trans. Knowl. Data Eng. 34(7): 3295-3308 (2022) - [j65]Rhongho Jang, Changhun Jung, David Mohaisen, KyungHee Lee, DaeHun Nyang:
A One-Page Text Entry Method Optimized for Rectangle Smartwatches. IEEE Trans. Mob. Comput. 21(10): 3443-3454 (2022) - [j64]Jeman Park, Rhongho Jang, Manar Mohaisen, David Mohaisen:
A Large-Scale Behavioral Analysis of the Open DNS Resolvers on the Internet. IEEE/ACM Trans. Netw. 30(1): 76-89 (2022) - [j63]Muhammad Saad, Victor Cook, Lan N. Nguyen, My T. Thai, David Mohaisen:
Exploring Partitioning Attacks on the Bitcoin Network. IEEE/ACM Trans. Netw. 30(1): 202-214 (2022) - [c164]Changhun Jung, Sian Kim, Rhongho Jang, David Mohaisen, DaeHun Nyang:
A Scalable and Dynamic ACL System for In-Network Defense. CCS 2022: 1679-1693 - [c163]Ülkü Meteriz-Yidiran, Necip Fazýl Yýldýran, David Mohaisen:
AcousticType: Smartwatch-Enabled Cross-Device Text Entry Method Using Keyboard Acoustics. CHI Extended Abstracts 2022: 352:1-352:7 - [c162]Won Joon Yun, David Mohaisen, Soyi Jung, Jong-Kook Kim, Joongheon Kim:
Hierarchical Reinforcement Learning using Gaussian Random Trajectory Generation in Autonomous Furniture Assembly. CIKM 2022: 3624-3633 - [c161]Yu Mi, David Mohaisen, An Wang:
AutoDefense: Reinforcement Learning Based Autoreactive Defense Against Network Attacks. CNS 2022: 163-171 - [c160]Ayodeji Adeniran, David Mohaisen:
Measuring Cryptocurrency Mining in Public Cloud Services: A Security Perspective. CSoNet 2022: 128-140 - [c159]Mohamed Alqadhi, Abdulrahman Alabduljabbar, Kyle Thomas, Saeed Salem, DaeHun Nyang, David Mohaisen:
Do Content Management Systems Impact the Security of Free Content Websites? CSoNet 2022: 141-154 - [c158]Marwan Omar, Soohyeon Choi, Daehun Nyang, David Mohaisen:
Quantifying the Performance of Adversarial Training on Language Models with Distribution Shifts. CySSS@AsiaCCS 2022: 3-9 - [c157]Abdulrahman Alabduljabbar, Runyu Ma, Soohyeon Choi, Rhongho Jang, Songqing Chen, David Mohaisen:
Understanding the Security of Free Content Websites by Analyzing their SSL Certificates: A Comparative Study. CySSS@AsiaCCS 2022: 19-25 - [c156]Dinhnguyen Dao, Rhongho Jang, Changhun Jung, David Mohaisen, DaeHun Nyang:
Minimizing Noise in HyperLogLog-Based Spread Estimation of Multiple Flows. DSN 2022: 331-342 - [c155]Kazi Abu Zubair, David Mohaisen, Amro Awad:
Filesystem Encryption or Direct-Access for NVM Filesystems? Let's Have Both! HPCA 2022: 490-502 - [c154]Mazen Al-Wadi, Rujia Wang, David Mohaisen, Clayton Hughes, Simon David Hammond, Amro Awad:
Minerva: Rethinking Secure Architectures for the Era of Fabric-Attached Memory Architectures. IPDPS 2022: 258-268 - [c153]Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani, Abdulrahman Alabduljabbar, RhongHo Jang, DaeHun Nyang, David Mohaisen:
Systematically Evaluating the Robustness of ML-based IoT Malware Detection Systems. RAID 2022: 308-320 - [c152]Necip Fazil Yildiran, Ülkü Meteriz-Yildiran, David Mohaisen:
AiRType: An Air-tapping Keyboard for Augmented Reality Environments. VR Workshops 2022: 676-677 - [c151]Ülkü Meteriz-Yildiran, Necip Fazil Yildiran, Amro Awad, David Mohaisen:
A Keylogging Inference Attack on Air-Tapping Keyboards in Virtual Environments. VR 2022: 765-774 - [c150]Abdulrahman Alabduljabbar, David Mohaisen:
Measuring the Privacy Dimension of Free Content Websites through Automated Privacy Policy Analysis and Annotation. WWW (Companion Volume) 2022: 860-867 - [c149]Marwan Omar, David Mohaisen:
Making Adversarially-Trained Language Models Forget with Model Retraining: A Case Study on Hate Speech Detection. WWW (Companion Volume) 2022: 887-893 - [i65]Marwan Omar, Soohyeon Choi, DaeHun Nyang, David Mohaisen:
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions. CoRR abs/2201.00768 (2022) - [i64]Won Joon Yun, Soohyun Park, Joongheon Kim, Myungjae Shin, Soyi Jung, David A. Mohaisen, Jae-Hyun Kim:
Cooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control. CoRR abs/2201.05843 (2022) - [i63]Kazi Abu Zubair, Sumit Kumar Jha, David Mohaisen, Clayton Hughes, Amro Awad:
FAT-PIM: Low-Cost Error Detection for Processing-In-Memory. CoRR abs/2207.12231 (2022) - [i62]Won Joon Yun, Soohyun Park, Joongheon Kim, David Mohaisen:
Self-Configurable Stabilized Real-Time Detection Learning for Autonomous Driving Applications. CoRR abs/2209.14525 (2022) - [i61]Hattan Althebeiti, David Mohaisen:
Enriching Vulnerability Reports Through Automated and Augmented Description Summarization. CoRR abs/2210.01260 (2022) - [i60]Ayodeji Adeniran, David Mohaisen:
Miners in the Cloud: Measuring and Analyzing Cryptocurrency Mining in Public Clouds. CoRR abs/2210.10512 (2022) - [i59]Mohamed Alqadhi, Abdulrahman Alabduljabbar, Kyle Thomas, Saeed Salem, DaeHun Nyang, David Mohaisen:
Do Content Management Systems Impact the Security of Free Content Websites? A Correlation Analysis. CoRR abs/2210.12083 (2022) - [i58]Ülkü Meteriz-Yildiran, Necip Fazil Yildiran, Joongheon Kim, David Mohaisen:
Learning Location from Shared Elevation Profiles in Fitness Apps: A Privacy Perspective. CoRR abs/2210.15529 (2022) - 2021
- [j62]Aminollah Khormali, Jeman Park, Hisham Alasmary, Afsah Anwar, Muhammad Saad, David Mohaisen:
Domain name system security and privacy: A contemporary survey. Comput. Networks 185: 107699 (2021) - [j61]Aminollah Khormali, Jeman Park, Hisham Alasmary, Afsah Anwar, Muhammad Saad, David Mohaisen:
Corrigendum to "Domain name system security and privacy: A contemporary survey" Computer Networks Volume 185 (2020) 107699. Comput. Networks 188: 107814 (2021) - [j60]Changhun Jung, Jinchun Choi, Rhongho Jang, David Mohaisen, DaeHun Nyang:
A network-independent tool-based usable authentication system for Internet of Things devices. Comput. Secur. 108: 102338 (2021) - [j59]Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu:
Towards Semantically-Rich Spatial Network Representation Learning via Automated Feature Topic Pairing. Frontiers Big Data 4: 762899 (2021) - [j58]Ashar Ahmad, Abdulrahman Alabduljabbar, Muhammad Saad, Daehun Nyang, Joongheon Kim, David Mohaisen:
Empirically comparing the performance of blockchain's consensus algorithms. IET Blockchain 1(1): 56-64 (2021) - [j57]Mohammed Abuhamad, Ahmed Abusnaina, Daehun Nyang, David Mohaisen:
Sensor-Based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Contemporary Survey. IEEE Internet Things J. 8(1): 65-84 (2021) - [j56]Muhammad Saad, Joongheon Kim, DaeHun Nyang, David Mohaisen:
Contra-∗: Mechanisms for countering spam attacks on blockchain's memory pools. J. Netw. Comput. Appl. 179: 102971 (2021) - [j55]SungHa Baek, Youngdon Jung, David Mohaisen, Sungjin Lee, DaeHun Nyang:
SSD-Assisted Ransomware Detection and Data Recovery Techniques. IEEE Trans. Computers 70(10): 1762-1776 (2021) - [j54]Mao Ye, Kazi Abu Zubair, Aziz Mohaisen, Amro Awad:
Towards Low-Cost Mechanisms to Enable Restoration of Encrypted Non-Volatile Memories. IEEE Trans. Dependable Secur. Comput. 18(4): 1850-1867 (2021) - [j53]Mohammed Abuhamad, Tamer AbuHmed, David Mohaisen, Daehun Nyang:
Large-scale and Robust Code Authorship Identification with Deep Feature Learning. ACM Trans. Priv. Secur. 24(4): 23:1-23:35 (2021) - [j52]Muhammad Saad, Zhan Qin, Kui Ren, DaeHun Nyang, David Mohaisen:
e-PoS: Making Proof-of-Stake Decentralized and Fair. IEEE Trans. Parallel Distributed Syst. 32(8): 1961-1973 (2021) - [c148]Muhammad Saad, Afsah Anwar, Srivatsan Ravi, David Mohaisen:
Revisiting Nakamoto Consensus in Asynchronous Networks: A Comprehensive Analysis of Bitcoin Safety and ChainQuality. CCS 2021: 988-1005 - [c147]Muhammad Saad, Songqing Chen, David Mohaisen:
SyncAttack: Double-spending in Bitcoin Without Mining Power. CCS 2021: 1668-1685 - [c146]Abdulrahman Alabduljabbar, Ahmed Abusnaina, Ülkü Meteriz-Yildiran, David Mohaisen:
Automated Privacy Policy Annotation with Information Highlighting Made Practical Using Deep Representations. CCS 2021: 2378-2380 - [c145]Mohammed Alkinoon, Marwan Omar, Manar Mohaisen, David Mohaisen:
Security Breaches in the Healthcare Domain: A Spatiotemporal Analysis. CSoNet 2021: 171-183 - [c144]Afsah Anwar, Ahmed Abusnaina, Songqing Chen, Frank Li, David Mohaisen:
Cleaning the NVD: Comprehensive Quality Assessment, Improvements, and Analyses. DSN (Supplements) 2021: 1-2 - [c143]Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani, Abdulrahman Alabduljabbar, Rhongho Jang, DaeHun Nyang, David Mohaisen:
Systemically Evaluating the Robustness of ML-based IoT Malware Detectors. DSN (Supplements) 2021: 3-4 - [c142]Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu:
Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning. SIGSPATIAL/GIS 2021: 450-453 - [c141]Ahmed Abusnaina, Yuhang Wu, Sunpreet S. Arora, Yizhen Wang, Fei Wang, Hao Yang, David Mohaisen:
Adversarial Example Detection Using Latent Neighborhood Graph. ICCV 2021: 7667-7676 - [c140]Muhammad Saad, Songqing Chen, David Mohaisen:
Root Cause Analyses for the Deteriorating Bitcoin Network Synchronization. ICDCS 2021: 239-249 - [c139]Myungjae Shin, David Mohaisen, Joongheon Kim:
Bitcoin Price Forecasting via Ensemble-based LSTM Deep Learning Networks. ICOIN 2021: 603-608 - [c138]Ashar Ahmad, Muhammad Saad, Joongheon Kim, DaeHun Nyang, David Mohaisen:
Performance Evaluation of Consensus Protocols in Blockchain-based Audit Systems. ICOIN 2021: 654-656 - [c137]Mazen Al-Wadi, Aziz Mohaisen, Amro Awad:
ProMT: optimizing integrity tree updates for write-intensive pages in secure NVMs. ICS 2021: 479-490 - [c136]Mohammed Alkinoon, Sung J. Choi, David Mohaisen:
Measuring Healthcare Data Breaches. WISA 2021: 265-277 - [c135]Abdulrahman Alabduljabbar, Ahmed Abusnaina, Ülkü Meteriz-Yildiran, David Mohaisen:
TLDR: Deep Learning-Based Automated Privacy Policy Annotation with Key Policy Highlights. WPES@CCS 2021: 103-118 - [c134]Ülkü Meteriz-Yildiran, Necip Fazil Yildiran, David Mohaisen:
SIA: Smartwatch-Enabled Inference Attacks on Physical Keyboards Using Acoustic Signals. WPES@CCS 2021: 209-221 - [c133]Sultan Alshamrani, Ahmed Abusnaina, Mohammed Abuhamad, Daehun Nyang, David Mohaisen:
Hate, Obscenity, and Insults: Measuring the Exposure of Children to Inappropriate Comments in YouTube. WWW (Companion Volume) 2021: 508-515 - [e5]David Mohaisen, Ruoming Jin:
Computational Data and Social Networks - 10th International Conference, CSoNet 2021, Virtual Event, November 15-17, 2021, Proceedings. Lecture Notes in Computer Science 13116, Springer 2021, ISBN 978-3-030-91433-2 [contents] - [i57]Muhammad Saad, Zhan Qin, Kui Ren, DaeHun Nyang, David Mohaisen:
e-PoS: Making Proof-of-Stake Decentralized and Fair. CoRR abs/2101.00330 (2021) - [i56]Sultan Alshamrani, Ahmed Abusnaina, Mohammed Abuhamad, Daehun Nyang, David Mohaisen:
Hate, Obscenity, and Insults: Measuring the Exposure of Children to Inappropriate Comments in YouTube. CoRR abs/2103.09050 (2021) - [i55]Afsah Anwar, Jinchun Choi, Abdulrahman Alabduljabbar, Hisham Alasmary, Jeffrey Spaulding, An Wang, Songqing Chen, DaeHun Nyang, Amro Awad, David Mohaisen:
Understanding Internet of Things Malware by Analyzing Endpoints in their Static Artifacts. CoRR abs/2103.14217 (2021) - [i54]