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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 (PhD): University of Minnesota, Minneapolis, MN, USA
- affiliation: Inha University, Incheon, South Korea
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2020 – today
- 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) - [c162]Changhun Jung, Sian Kim, Rhongho Jang, David Mohaisen, DaeHun Nyang:
A Scalable and Dynamic ACL System for In-Network Defense. CCS 2022: 1679-1693 - [c161]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 - [c160]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 - [c159]Yu Mi, David Mohaisen, An Wang:
AutoDefense: Reinforcement Learning Based Autoreactive Defense Against Network Attacks. CNS 2022: 163-171 - [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]Mohammed Alaqdhi, 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]Hisham Alasmary, Afsah Anwar, Ahmed Abusnaina, Abdulrahman Alabduljabbar, Mohammad Abuhamad, An Wang, DaeHun Nyang, Amro Awad, David Mohaisen:
ShellCore: Automating Malicious IoT Software Detection by Using Shell Commands Representation. CoRR abs/2103.14221 (2021) - [i53]Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani, Abdulrahman Alabduljabbar, RhongHo Jang, Daehun Nyang, David Mohaisen:
ML-based IoT Malware Detection Under Adversarial Settings: A Systematic Evaluation. CoRR abs/2108.13373 (2021) - [i52]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. CoRR abs/2109.11053 (2021) - [i51]Sunyoung Kim, Changhun Jung, RhongHo Jang, David Mohaisen, DaeHun Nyang:
Count-Less: A Counting Sketch for the Data Plane of High Speed Switches. CoRR abs/2111.02759 (2021) - [i50]Muhammad Saad, Afsah Anwar, Srivatsan Ravi, David Mohaisen:
HashSplit: Exploiting Bitcoin Asynchrony to Violate Common Prefix and Chain Quality. IACR Cryptol. ePrint Arch. 2021: 299 (2021) - 2020
- [j51]Jinchun Choi, Mohammed Abuhamad, Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani, Jeman Park, Daehun Nyang, David Mohaisen:
Understanding the Proxy Ecosystem: A Comparative Analysis of Residential and Open Proxies on the Internet. IEEE Access 8: 111368-111380 (2020) - [j50]Jeman Park, Manar Mohaisen, DaeHun Nyang, Aziz Mohaisen:
Assessing the effectiveness of pulsing denial of service attacks under realistic network synchronization assumptions. Comput. Networks 173: 107146 (2020) - [j49]Muhammad Saad, Jeffrey Spaulding, Laurent Njilla, Charles A. Kamhoua, Sachin Shetty, DaeHun Nyang, David Mohaisen:
Exploring the Attack Surface of Blockchain: A Comprehensive Survey. IEEE Commun. Surv. Tutorials 22(3): 1977-2008 (2020) - [j48]Mohammed Abuhamad, Tamer AbuHmed, David Mohaisen, DaeHun Nyang:
AUToSen: Deep-Learning-Based Implicit Continuous Authentication Using Smartphone Sensors. IEEE Internet Things J. 7(6): 5008-5020 (2020) - [j47]Dohyun Kwon, Joongheon Kim, David A. Mohaisen, Wonjun Lee:
Self-adaptive power control with deep reinforcement learning for millimeter-wave Internet-of-vehicles video caching. J. Commun. Networks 22(4): 326-337 (2020) - [j46]Mohammed Abuhamad, Tamer AbuHmed, DaeHun Nyang, David Mohaisen:
Multi-χ: Identifying Multiple Authors from Source Code Files. Proc. Priv. Enhancing Technol. 2020(3): 25-41 (2020) - [j45]David Mohaisen, Sencun Zhu:
Editorial. EAI Endorsed Trans. Security Safety 6(22): e1 (2020) - [j44]Afsah Anwar, Aminollah Khormali, Jinchun Choi, Hisham Alasmary, Saeed Salem, DaeHun Nyang, David Mohaisen:
Measuring the Cost of Software Vulnerabilities. EAI Endorsed Trans. Security Safety 7(23): e1 (2020) - [j43]Muhammad Saad, Jinchun Choi, DaeHun Nyang, Joongheon Kim, Aziz Mohaisen:
Toward Characterizing Blockchain-Based Cryptocurrencies for Highly Accurate Predictions. IEEE Syst. J. 14(1): 321-332 (2020) - [j42]An Wang, Wentao Chang, Songqing Chen, Aziz Mohaisen:
A Data-Driven Study of DDoS Attacks and Their Dynamics. IEEE Trans. Dependable Secur. Comput. 17(3): 648-661 (2020) - [j41]Aziz Mohaisen, Zhongshu Gu, Kui Ren, Zhenhua Li, Charles A. Kamhoua, Laurent L. Njilla, DaeHun Nyang:
Look-Aside at Your Own Risk: Privacy Implications of DNSSEC Look-Aside Validation. IEEE Trans. Dependable Secur. Comput. 17(4): 745-759 (2020) - [j40]Rhongho Jang, Jeonil Kang, Aziz Mohaisen, DaeHun Nyang:
Catch Me If You Can: Rogue Access Point Detection Using Intentional Channel Interference. IEEE Trans. Mob. Comput. 19(5): 1056-1071 (2020) - [c132]Sultan Alshamrani, Mohammed Abuhamad, Ahmed Abusnaina, David Mohaisen:
Investigating Online Toxicity in Users Interactions with the Mainstream Media Channels on YouTube. CIKM (Workshops) 2020 - [c131]Sultan Alshamrani, Ahmed Abusnaina, Mohammed Abuhamad, Anho Lee, DaeHun Nyang, David Mohaisen:
An Analysis of Users Engagement on Twitter During the COVID-19 Pandemic: Topical Trends and Sentiments. CSoNet 2020: 73-86 - [c130]Ülkü Meteriz, Necip Fazil Yildiran, Joongheon Kim, David Mohaisen:
Understanding the Potential Risks of Sharing Elevation Information on Fitness Applications. ICDCS 2020: 464-473 - [c129]Hisham Alasmary, Ahmed Abusnaina, Rhongho Jang, Mohammed Abuhamad, Afsah Anwar, DaeHun Nyang, David Mohaisen:
Soteria: Detecting Adversarial Examples in Control Flow Graph-based Malware Classifiers. ICDCS 2020: 888-898 - [c128]Afsah Anwar, Hisham Alasmary, Jeman Park, An Wang, Songqing Chen, David Mohaisen:
Statically Dissecting Internet of Things Malware: Analysis, Characterization, and Detection. ICICS 2020: 443-461 - [c127]Soohyun Park, Jeman Park, David Mohaisen, Joongheon Kim:
Reinforced Edge Selection using Deep Learning for Robust Surveillance in Unmanned Aerial Vehicles. ICTC 2020: 96-99 - [c126]Jaesung Yoo, Jeman Park, An Wang, David Mohaisen, Joongheon Kim:
On the Performance of Generative Adversarial Network (GAN) Variants: A Clinical Data Study. ICTC 2020: 100-104 - [c125]Sultan Alshamrani, Ahmed Abusnaina, David Mohaisen:
Hiding in Plain Sight: A Measurement and Analysis of Kids' Exposure to Malicious URLs on YouTube. SEC 2020: 321-326 - [c124]Rhongho Jang, DaeHong Min, Seongkwang Moon, David Mohaisen, DaeHun Nyang:
SketchFlow: Per-Flow Systematic Sampling Using Sketch Saturation Event. INFOCOM 2020: 1339-1348 - [c123]Ahmed Abusnaina, Rhongho Jang, Aminollah Khormali, DaeHun Nyang, David Mohaisen:
DFD: Adversarial Learning-based Approach to Defend Against Website Fingerprinting. INFOCOM 2020: 2459-2468 - [c122]Aminollah Khormali, Ahmed Abusnaina, Songqing Chen, DaeHun Nyang, David Mohaisen:
From Blue-Sky to Practical Adversarial Learning. TPS-ISA 2020: 118-127 - [c121]Ahmed Abusnaina, Mohammed Abuhamad, DaeHun Nyang, Songqing Chen, An Wang, David Mohaisen:
Insights into Attacks' Progression: Prediction of Spatio-Temporal Behavior of DDoS Attacks. WISA 2020: 362-374 - [i49]Joohyung Jeon, Junhui Kim, Joongheon Kim, Kwangsoo Kim, Aziz Mohaisen, Jong-Kook Kim:
Privacy-Preserving Deep Learning Computation for Geo-Distributed Medical Big-Data Platforms. CoRR abs/2001.02932 (2020) - [i48]Mohammed Abuhamad, Ahmed Abusnaina, DaeHun Nyang, David Mohaisen:
Sensor-based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Survey. CoRR abs/2001.08578 (2020) - [i47]Muhammad Saad, Joongheon Kim, DaeHun Nyang, David Mohaisen:
Contra-*: Mechanisms for Countering Spam Attacks on Blockchain Memory Pools. CoRR abs/2005.04842 (2020) - [i46]Ahmed Abusnaina, Mohammed Abuhamad, Hisham Alasmary, Afsah Anwar, Rhongho Jang, Saeed Salem, DaeHun Nyang, David Mohaisen:
A Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification. CoRR abs/2005.07145 (2020) - [i45]Afsah Anwar, Ahmed Abusnaina, Songqing Chen, Frank Li, David Mohaisen:
Cleaning the NVD: Comprehensive Quality Assessment, Improvements, and Analyses. CoRR abs/2006.15074 (2020) - [i44]Aminollah Khormali, Jeman Park, Hisham Alasmary, Afsah Anwar, David Mohaisen:
Domain Name System Security and Privacy: A Contemporary Survey. CoRR abs/2006.15277 (2020) - [i43]Aminollah Khormali, DaeHun Nyang, David Mohaisen:
Generating Adversarial Examples with an Optimized Quality. CoRR abs/2007.00146 (2020) - [i42]Sultan Alshamrani, Ahmed Abusnaina, David Mohaisen:
Hiding in Plain Sight: A Measurement and Analysis of Kids' Exposure to Malicious URLs on YouTube. CoRR abs/2009.07923 (2020) - [i41]Jaesung Yoo, Jeman Park, An Wang, David Mohaisen, Joongheon Kim:
On the Performance of Generative Adversarial Network (GAN) Variants: A Clinical Data Study. CoRR abs/2009.09579 (2020) - [i40]SooHyun Park, Jeman Park, David Mohaisen, Joongheon Kim:
Reinforced Edge Selection using Deep Learning for Robust Surveillance in Unmanned Aerial Vehicles. CoRR abs/2009.09647 (2020)
2010 – 2019
- 2019
- [j39]Jeffrey Spaulding, Jeman Park, Joongheon Kim, DaeHun Nyang, Aziz Mohaisen:
Thriving on chaos: Proactive detection of command and control domains in internet of things-scale botnets using DRIFT. Trans. Emerg. Telecommun. Technol. 30(4) (2019) - [j38]Laihyuk Park, Chunghyun Lee, Joongheon Kim, Aziz Mohaisen, Sungrae Cho:
Two-Stage IoT Device Scheduling With Dynamic Programming for Energy Internet Systems. IEEE Internet Things J. 6(5): 8782-8791 (2019) - [j37]Hisham Alasmary, Aminollah Khormali, Afsah Anwar, Jeman Park, Jinchun Choi, Ahmed Abusnaina, Amro Awad, DaeHun Nyang, Aziz Mohaisen:
Analyzing and Detecting Emerging Internet of Things Malware: A Graph-Based Approach. IEEE Internet Things J. 6(5): 8977-8988 (2019)