Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDDavid Mohaisen
David A. Mohaisen – Aziz Mohaisen – Abedelaziz Mohaisen
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2021
[j60]Aminollah Khormali, Jeman Park, Hisham Alasmary, Afsah Anwar, Muhammad Saad, David A. Mohaisen:
Domain name system security and privacy: A contemporary survey. Comput. Networks 185: 107699 (2021)- [j59]Aminollah Khormali, Jeman Park, Hisham Alasmary, Afsah Anwar, Muhammad Saad, David A. Mohaisen:
Corrigendum to "Domain name system security and privacy: A contemporary survey" Computer Networks Volume 185 (2020) 107699. Comput. Networks 188: 107814 (2021) - [j58]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) - [j57]Mohammed Abuhamad
, Ahmed Abusnaina, DaeHun Nyang, David A. 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 A. 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 A. 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 A. 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 A. Mohaisen:
e-PoS: Making Proof-of-Stake Decentralized and Fair. IEEE Trans. Parallel Distributed Syst. 32(8): 1961-1973 (2021) - [c146]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 - [c145]Muhammad Saad, Songqing Chen, David Mohaisen:
SyncAttack: Double-spending in Bitcoin Without Mining Power. CCS 2021: 1668-1685 - [c144]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 - [c143]Afsah Anwar, Ahmed Abusnaina, Songqing Chen, Frank Li, David A. Mohaisen:
Cleaning the NVD: Comprehensive Quality Assessment, Improvements, and Analyses. DSN (Supplements) 2021: 1-2 - [c142]Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani, Abdulrahman Alabduljabbar, Rhongho Jang, DaeHun Nyang, David A. Mohaisen:
Systemically Evaluating the Robustness of ML-based IoT Malware Detectors. DSN (Supplements) 2021: 3-4 - [c141]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 - [c140]Muhammad Saad, Songqing Chen, David A. Mohaisen:
Root Cause Analyses for the Deteriorating Bitcoin Network Synchronization. ICDCS 2021: 239-249 - [c139]Myungjae Shin, David A. 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 A. 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 A. Mohaisen:
Hate, Obscenity, and Insults: Measuring the Exposure of Children to Inappropriate Comments in YouTube. WWW (Companion Volume) 2021: 508-515 - [i57]Muhammad Saad, Zhan Qin, Kui Ren, DaeHun Nyang, David A. 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 A. 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 A. 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 A. 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 A. Mohaisen:
ML-based IoT Malware Detection Under Adversarial Settings: A Systematic Evaluation. CoRR abs/2108.13373 (2021) - [i52]Dongjie Wang, Kunpeng Liu, David A. 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 A. 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 A. 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 A. 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 A. 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 A. Mohaisen:
Multi-χ: Identifying Multiple Authors from Source Code Files. Proc. Priv. Enhancing Technol. 2020(3): 25-41 (2020) - [j45]David A. 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 A. 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 A. 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 A. 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 Faziotal Yiotaldiotaran, Joongheon Kim, David A. 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 A. 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 A. Mohaisen:
Statically Dissecting Internet of Things Malware: Analysis, Characterization, and Detection. ICICS 2020: 443-461 - [c127]Soohyun Park, Jeman Park, David A. 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 A. 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 A. 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 A. 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 A. 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 A. 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 A. 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 A. 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 A. 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 A. 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 A. 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 A. Mohaisen:
Domain Name System Security and Privacy: A Contemporary Survey. CoRR abs/2006.15277 (2020) - [i43]Aminollah Khormali, DaeHun Nyang, David A. Mohaisen:
Generating Adversarial Examples with an Optimized Quality. CoRR abs/2007.00146 (2020) - [i42]Sultan Alshamrani, Ahmed Abusnaina, David A. 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 A. 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 A. 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) - [j36]Ashar Ahmad, Muhammad Saad, Aziz Mohaisen:
Secure and transparent audit logs with BlockAudit. J. Netw. Comput. Appl. 145 (2019) - [j35]Fan Dang, Ennan Zhai, Zhenhua Li, Pengfei Zhou, Aziz Mohaisen, Kaigui Bian, Qingfu Wen, Mo Li:
Pricing Data Tampering in Automated Fare Collection with NFC-Equipped Smartphones. IEEE Trans. Mob. Comput. 18(5): 1159-1173 (2019) - [j34]Feng Shen, Justin Del Vecchio, Aziz Mohaisen, Steven Y. Ko, Lukasz Ziarek:
Android Malware Detection Using Complex-Flows. IEEE Trans. Mob. Comput. 18(6): 1231-1245 (2019) - [j33]Jeman Park, Jinchun Choi, DaeHun Nyang, Aziz Mohaisen:
Transparency in the New gTLD Era: Evaluating the DNS Centralized Zone Data Service. IEEE Trans. Netw. Serv. Manag. 16(4): 1782-1796 (2019) - [c120]Muhammad Saad, Ashar Ahmad, Aziz Mohaisen:
Fighting Fake News Propagation with Blockchains. CNS 2019: 1-4 - [c119]Jeman Park, Manar Mohaisen, Aziz Mohaisen:
Investigating DNS Manipulation by Open DNS Resolvers. CoNEXT Companion 2019: 45-46 - [c118]Ahmed Abusnaina, DaeHun Nyang, Murat Yuksel, Aziz Mohaisen:
Examining the Security of DDoS Detection Systems in Software Defined Networks. CoNEXT Companion 2019: 49-50 - [c117]Ahmed Abusnaina, Hisham Alasmary, Mohammed Abuhamad, Saeed Salem, DaeHun Nyang, Aziz Mohaisen:
Subgraph-Based Adversarial Examples Against Graph-Based IoT Malware Detection Systems. CSoNet 2019: 268-281 - [c116]Ahmed Abusnaina, Aminollah Khormali, DaeHun Nyang, Murat Yuksel, Aziz Mohaisen:
Examining the Robustness of Learning-Based DDoS Detection in Software Defined Networks. DSC 2019: 1-8 - [c115]Jinchun Choi, Ahmed Abusnaina, Afsah Anwar, An Wang, Songqing Chen, DaeHun Nyang, Aziz Mohaisen:
Honor among Thieves: Towards Understanding the Dynamics and Interdependencies in IoT Botnets. DSC 2019: 1-8 - [c114]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. DSN (Supplements) 2019: 3-4 - [c113]Jeman Park, Aminollah Khormali, Manar Mohaisen, Aziz Mohaisen:
Where Are You Taking Me? Behavioral Analysis of Open DNS Resolvers. DSN 2019: 493-504 - [c112]Muhammad Saad, Aminollah Khormali, Aziz Mohaisen:
Dine and Dash: Static, Dynamic, and Economic Analysis of In-Browser Cryptojacking. eCrime 2019: 1-12 - [c111]Jinchun Choi, Afsah Anwar, Hisham Alasmary, Jeffrey Spaulding, DaeHun Nyang, Aziz Mohaisen:
IoT malware ecosystem in the wild: a glimpse into analysis and exposures. SEC 2019: 413-418 - [c110]Muhammad Saad, Afsah Anwar, Ashar Ahmad, Hisham Alasmary, Murat Yuksel, Aziz Mohaisen:
RouteChain: Towards Blockchain-based Secure and Efficient BGP Routing. IEEE ICBC 2019: 210-218 - [c109]Muhammad Saad, Laurent Njilla, Charles A. Kamhoua, Joongheon Kim, DaeHun Nyang, Aziz Mohaisen:
Mempool optimization for Defending Against DDoS Attacks in PoW-based Blockchain Systems. IEEE ICBC 2019: 285-292 - [c108]Ashar Ahmad, Muhammad Saad, Laurent Njilla, Charles A. Kamhoua, Mostafa A. Bassiouni, Aziz Mohaisen:
BlockTrail: A Scalable Multichain Solution for Blockchain-Based Audit Trails. ICC 2019: 1-6 - [c107]Muhammad Saad, Laurent Njilla, Charles A. Kamhoua, Aziz Mohaisen:
Countering Selfish Mining in Blockchains. ICNC 2019: 360-364 - [c106]Muhammad Saad, Victor Cook, Lan Nguyen, My T. Thai, Aziz Mohaisen:
Partitioning Attacks on Bitcoin: Colliding Space, Time, and Logic. ICDCS 2019: 1175-1187 - [c105]Ahmed Abusnaina, Aminollah Khormali, Hisham Alasmary, Jeman Park, Afsah Anwar, Aziz Mohaisen:
Adversarial Learning Attacks on Graph-based IoT Malware Detection Systems. ICDCS 2019: 1296-1305 - [c104]An Wang, Aziz Mohaisen, Songqing Chen:
XLF: A Cross-layer Framework to Secure the Internet of Things (IoT). ICDCS 2019: 1830-1839 - [c103]Rhongho Jang, Seongkwang Moon, Youngtae Noh, Aziz Mohaisen, DaeHun Nyang:
InstaMeasure: Instant Per-flow Detection Using Large In-DRAM Working Set of Active Flows. ICDCS 2019: 2047-2056 - [c102]David A. Mohaisen, Songqing Chen:
Computer Systems Have 99 Problems, Let's Not Make Machine Learning Another One. TPS-ISA 2019: 255-259 - [c101]Jeman Park, Aziz Mohaisen, Charles A. Kamhoua, Michael J. Weisman, Nandi O. Leslie, Laurent Njilla:
Cyber Deception in the Internet of Battlefield Things: Techniques, Instances, and Assessments. WISA 2019: 299-312 - [c100]Rhongho Jang, Seongkwang Moon, Youngtae Noh, Aziz Mohaisen, DaeHun Nyang:
A cost-effective anomaly detection system using in-DRAM working set of active flows table: poster. WiSec 2019: 286-287 - [c99]Jinchun Choi, Afsah Anwar, Hisham Alasmary, Jeffrey Spaulding, DaeHun Nyang, Aziz Mohaisen:
Analyzing endpoints in the internet of things malware: poster. WiSec 2019: 288-289 - [c98]Ahmed Abusnaina, Aminollah Khormali, Hisham Alasmary, Jeman Park, Afsah Anwar, Ulku Meteriz, Aziz Mohaisen:
Breaking graph-based IoT malware detection systems using adversarial examples: poster. WiSec 2019: 290-291 - [e4]Aziz Mohaisen, Zhi-Li Zhang:
Proceedings of the 15th International Conference on Emerging Networking Experiments And Technologies, CoNEXT 2019, Orlando, FL, USA, December 09-12, 2019. ACM 2019, ISBN 978-1-4503-6998-5 [contents] - [e3]Songqing Chen, Kim-Kwang Raymond Choo, Xinwen Fu, Wenjing Lou, Aziz Mohaisen:
Security and Privacy in Communication Networks - 15th EAI International Conference, SecureComm 2019, Orlando, FL, USA, October 23-25, 2019, Proceedings, Part I. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 304, Springer 2019, ISBN 978-3-030-37227-9 [contents] - [e2]Songqing Chen, Kim-Kwang Raymond Choo, Xinwen Fu, Wenjing Lou, Aziz Mohaisen:
Security and Privacy in Communication Networks - 15th EAI International Conference, SecureComm 2019, Orlando, FL, USA, October 23-25, 2019, Proceedings, Part II. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 305, Springer 2019, ISBN 978-3-030-37230-9 [contents] - [i39]Aziz Mohaisen, Omar Alrawi, Jeman Park, Joongheon Kim, DaeHun Nyang, Manar Mohaisen:
Network-based Analysis and Classification of Malware using Behavioral Artifacts Ordering. CoRR abs/1901.01185 (2019) - [i38]Jinchun Choi, Afsah Anwar, Hisham Alasmary, Jeffrey Spaulding, DaeHun Nyang, Aziz Mohaisen:
Analyzing Endpoints in the Internet of Things Malware. CoRR abs/1902.03531 (2019) - [i37]Muhammad Saad, Victor Cook, Lan N. Nguyen, My T. Thai, Aziz Mohaisen:
Exploring Spatial, Temporal, and Logical Attacks on the Bitcoin Network. CoRR abs/1902.03636 (2019) - [i36]Hisham Alasmary, Aminollah Khormali, Afsah Anwar, Jeman Park, Jinchun Choi, DaeHun Nyang, Aziz Mohaisen:
Analyzing, Comparing, and Detecting Emerging Malware: A Graph-based Approach. CoRR abs/1902.03955 (2019) - [i35]RhongHo Jang, Seongkwang Moon, Youngtae Noh, Aziz Mohaisen, DaeHun Nyang:
Scaling Up Anomaly Detection Using In-DRAM Working Set of Active Flows Table. CoRR abs/1902.04143 (2019) - [i34]Ahmed Abusnaina, Aminollah Khormali, Hisham Alasmary, Jeman Park, Afsah Anwar, Ulku Meteriz, Aziz Mohaisen:
Examining Adversarial Learning against Graph-based IoT Malware Detection Systems. CoRR abs/1902.04416 (2019) - [i33]Hyun-Jae Kang, Jae-wook Jang, Aziz Mohaisen, Huy Kang Kim:
Detecting and Classifying Android Malware using Static Analysis along with Creator Information. CoRR abs/1903.01618 (2019) - [i32]Muhammad Saad, Jeffrey Spaulding, Laurent Njilla, Charles A. Kamhoua, Sachin Shetty, DaeHun Nyang, Aziz Mohaisen:
Exploring the Attack Surface of Blockchain: A Systematic Overview. CoRR abs/1904.03487 (2019) - [i31]Ashar Ahmad, Muhammad Saad, Aziz Mohaisen:
Secure and Transparent Audit Logs with BlockAudit. CoRR abs/1907.10484 (2019) - [i30]Amirali Sanatinia, Jeman Park, Erik-Oliver Blass, Aziz Mohaisen, Guevara Noubir:
A Privacy-Preserving Longevity Study of Tor's Hidden Services. CoRR abs/1909.03576 (2019) - [i29]Aminollah Khormali, Ahmed Abusnaina, Songqing Chen, DaeHun Nyang, Aziz Mohaisen:
COPYCAT: Practical Adversarial Attacks on Visualization-Based Malware Detection. CoRR abs/1909.09735 (2019) - [i28]Changhun Jung, Mohammed Abuhamad, Jumabek Alikhanov, Aziz Mohaisen, Kyungja Han, DaeHun Nyang:
W-Net: A CNN-based Architecture for White Blood Cells Image Classification. CoRR abs/1910.01091 (2019) - [i27]Ülkü Meteriz, Necip Fazil Yildiran, Aziz Mohaisen:
You Can Run, But You Cannot Hide: Using Elevation Profiles to Breach Location Privacy through Trajectory Prediction. CoRR abs/1910.09041 (2019) - [i26]Mazen Al-Wadi, Aziz Mohaisen, Amro Awad:
Phoenix: Towards Persistently Secure, Recoverable, and NVM Friendly Tree of Counters. CoRR abs/1911.01922 (2019) - [i25]David A. Mohaisen, Songqing Chen:
Computer Systems Have 99 Problems, Let's Not Make Machine Learning Another One. CoRR abs/1911.12593 (2019) - 2018
- [j32]DaeHun Nyang, Hyoungshick Kim, Woojoo Lee, Sung-bae Kang, Geumhwan Cho, Mun-Kyu Lee, Aziz Mohaisen:
Two-Thumbs-Up: Physical protection for PIN entry secure against recording attacks. Comput. Secur. 78: 1-15 (2018) - [j31]Dohyun Kwon, Sang-Wook Kim, Joongheon Kim, Aziz Mohaisen:
Interference-Aware Adaptive Beam Alignment for Hyper-Dense IEEE 802.11ax Internet-of-Things Networks. Sensors 18(10): 3364 (2018) - [j30]Aziz Mohaisen, Omar Alrawi, Jeman Park, Joongheon Kim, DaeHun Nyang, Manar Mohaisen:
Network-based Analysis and Classification of Malware using Behavioral Artifacts Ordering. EAI Endorsed Trans. Security Safety 5(16): e2 (2018) - [j29]An Wang, Wentao Chang, Songqing Chen, Aziz Mohaisen:
Delving Into Internet DDoS Attacks by Botnets: Characterization and Analysis. IEEE/ACM Trans. Netw. 26(6): 2843-2855 (2018) - [c97]Mohammed Abuhamad, Tamer AbuHmed, Aziz Mohaisen, DaeHun Nyang:
Large-Scale and Language-Oblivious Code Authorship Identification. CCS 2018: 101-114 - [c96]Afsah Anwar, Aminollah Khormali, Aziz Mohaisen:
POSTER: Understanding the Hidden Cost of Software Vulnerabilities: Measurements and Predictions. AsiaCCS 2018: 793-795 - [c95]Muhammad Saad, My T. Thai, Aziz Mohaisen:
POSTER: Deterring DDoS Attacks on Blockchain-based Cryptocurrencies through Mempool Optimization. AsiaCCS 2018: 809-811 - [c94]Hisham Alasmary, Afsah Anwar, Jeman Park, Jinchun Choi, DaeHun Nyang, Aziz Mohaisen:
Graph-Based Comparison of IoT and Android Malware. CSoNet 2018: 259-272 - [c93]