Mohammad M. Masud

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 19

Top Topics

Packet Filtering

Security Enforcement

Drift Detection

Top Venues

J. Intell. Syst.

Publications

Hadeel T. El Kassabi, Mohamed Adel Serhani, Mohammad M. Masud, Khaled Shuaib, Khaled Khalil
Deep learning approach to security enforcement in cloud workflow orchestration. J. Cloud Comput. 12 (1) (2023)
Mariam Alkaabi, Meera Albloushi, Alyazia Alkaabi, Amna Alhammadi, Fatima Alketbi, Mohammad M. Masud
An Enhanced Deepfake Video Detection Technique. IIT (2023)
Shama Alalawi, Safa Baalfaqih, Maitha Almeqbaali, Mohammad M. Masud
Social Media Misinformation Propagation and Detection. IIT (2023)
Kadhim Hayawi, Sujith Samuel Mathew, Neethu Venugopal, Mohammad M. Masud, Pin-Han Ho
DeeProBot: a hybrid deep neural network model for social bot detection based on user profile data. Soc. Netw. Anal. Min. 12 (1) (2022)
Imad Jawhar, Sheng Zhang, Jie Wu, Nader Mohamed, Mohammad M. Masud
Distributed Algorithms for Multiple Path Backbone Discovery in Thick Linear Sensor Networks. J. Sens. Actuator Networks 10 (3) (2021)
Mohammad M. Masud, Kadhim Hayawi, Sujith Samuel Mathew, Temesgen Michael, Mai El Barachi
Smart Online Exam Proctoring Assist for Cheating Detection. ADMA (2021)
Moomal Farhad, Mohammad M. Masud, Azam Beg
Deep Learning Based Cardiac Phase Detection Using Echocardiography Imaging. ADMA (2021)
Noura H. Al Nuaimi, Mohammad M. Masud
Online streaming feature selection with incremental feature grouping. WIREs Data Mining Knowl. Discov. 10 (4) (2020)
Kadhim Hayawi, Zouheir Trabelsi, Safaa Zeidan, Mohammad M. Masud
Thwarting ICMP Low-Rate Attacks Against Firewalls While Minimizing Legitimate Traffic Loss. IEEE Access 8 (2020)
Mohammad M. Masud, Kadhim Hayawi, Sujith Samuel Mathew, Ahmed Dirir, Muhsin Cheratta
Effective Patient Similarity Computation for Clinical Decision Support Using Time Series and Static Data. ACSW (2020)
Bo Dong, Yifan Li, Yang Gao, Ahsanul Haque, Latifur Khan, Mohammad M. Masud
Multistream regression with asynchronous concept drift detection. IEEE BigData (2017)
Noura H. Al Nuaimi, Mohammad M. Masud
Toward Optimal Streaming Feature Selection. DSAA (2017)
Zouheir Trabelsi, Safaa Zeidan, Mohammad M. Masud
Hybrid mechanism towards network packet early acceptance and rejection for unified threat management. IET Inf. Secur. 11 (2) (2017)
Mohammad M. Masud, Mohamed Adel Serhani, Alramzana Nujum Navaz
Resource-Aware Mobile-Based Health Monitoring. IEEE J. Biomed. Health Informatics 21 (2) (2017)
Zouheir Trabelsi, Mohammed Al Matrooshi, Saeed Al Bairaq, Walid Ibrahim, Mohammad M. Masud
Android based mobile apps for information security hands-on education. Educ. Inf. Technol. 22 (1) (2017)
Imad Jawhar, Sheng Zhang, Jie Wu, Nader Mohamed, Mohammad M. Masud
Efficient topology discovery and routing in thick wireless Linear Sensor Networks. INFOCOM Workshops (2017)
Tahseen Al-Khateeb, Mohammad M. Masud, Khaled Al-Naami, Sadi Evren Seker, Ahmad M. Mustafa, Latifur Khan, Zouheir Trabelsi, Charu C. Aggarwal, Jiawei Han
Recurring and Novel Class Detection Using Class-Based Ensemble for Evolving Data Stream. IEEE Trans. Knowl. Data Eng. 28 (10) (2016)
Zouheir Trabelsi, Mohammad M. Masud
An extended identity-based cryptography protocol based on biometric. Int. J. Inf. Priv. Secur. Integr. 2 (3) (2016)
Zouheir Trabelsi, Safaa Zeidan, Mohammad M. Masud
Network Packet Filtering and Deep Packet Inspection Hybrid Mechanism for IDS Early Packet Matching. AINA (2016)
Hind Obaid Al Falasi, Mohammad M. Masud, Nader Mohamed
Trusting the same: Using similarity to establish trust among vehicles. CTS (2015)
Zouheir Trabelsi, Safaa Zeidan, Mohammad M. Masud, Kilani Ghoudi
Statistical dynamic splay tree filters towards multilevel firewall packet filtering enhancement. Comput. Secur. 53 (2015)
Zouheir Trabelsi, Mohamed Al-Hemairy, Mohammad M. Masud
On Investigating the Effectiveness of Biometric Readers in Thwarting Network Attacks: A Secure Architecture Design Proposal. J. Intell. Syst. 24 (2) (2015)
Noura H. Al Nuaimi, Mohammad M. Masud, Farhan Mohammed
ICU Patient Deterioration prediction: a Data-Mining Approach. CoRR (2015)
Eman Abu Khousa, Yacine Atif, Mohammad M. Masud
A social learning analytics approach to cognitive apprenticeship. Smart Learn. Environ. 2 (1) (2015)
Mohammad M. Masud, Ameera Al-Shehhi, Eiman Al-Shamsi, Shamma Al-Hassani, Asmaa Al-Hamoudi, Latifur Khan
Online Prediction of Chess Match Result. PAKDD (1) (2015)
Leila Ismail, Mohammad M. Masud, Latifur Khan
FSBD: A Framework for Scheduling of Big Data Mining in Cloud Computing. BigData Congress (2014)
Mohammad M. Masud, Umniya Mustafa, Zouheir Trabelsi
A data driven firewall for faster packet filtering. COMNET (2014)
Mohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Ashok Srivastava, Nikunj C. Oza
Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams. IEEE Trans. Knowl. Data Eng. 25 (7) (2013)
Umniya Mustafa, Mohammad M. Masud, Zouheir Trabelsi, Timothy Wood, Zainab Al Harthi
Firewall performance optimization using data mining techniques. IWCMC (2013)
Tahseen Al-Khateeb, Mohammad M. Masud, Latifur Khan, Bhavani M. Thuraisingham
Cloud Guided Stream Classification Using Class-Based Ensemble. IEEE CLOUD (2012)
Tahseen Al-Khateeb, Mohammad M. Masud, Latifur Khan, Charu C. Aggarwal, Jiawei Han, Bhavani M. Thuraisingham
Stream Classification with Recurring and Novel Class Detection Using Class-Based Ensemble. ICDM (2012)
Mohammad M. Masud, Tahseen Al-Khateeb, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani M. Thuraisingham
Detecting Recurring and Novel Classes in Concept-Drifting Data Streams. ICDM (2011)
Mohammad Farhan Husain, James P. McGlothlin, Mohammad M. Masud, Latifur R. Khan, Bhavani M. Thuraisingham
Heuristics-Based Query Processing for Large RDF Graphs Using Cloud Computing. IEEE Trans. Knowl. Data Eng. 23 (9) (2011)
Mohammad M. Masud, Tahseen Al-Khateeb, Kevin W. Hamlen, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham
Cloud-based malware detection for evolving data streams. ACM Trans. Manag. Inf. Syst. 2 (3) (2011)
Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham
Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints. IEEE Trans. Knowl. Data Eng. 23 (6) (2011)
Mohammad M. Masud, Clay Woolam, Jing Gao, Latifur Khan, Jiawei Han, Kevin W. Hamlen, Nikunj C. Oza
Facing the reality of data stream classification: coping with scarcity of labeled data. Knowl. Inf. Syst. 33 (1) (2011)
Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham
Classification and Novel Class Detection in Data Streams with Active Mining. PAKDD (2) (2010)
Mohammad M. Masud, Qing Chen, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham
Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space. ECML/PKDD (2) (2010)
Mohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani M. Thuraisingham
Addressing Concept-Evolution in Concept-Drifting Data Streams. ICDM (2010)
Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham
A Multi-partition Multi-chunk Ensemble Technique to Classify Concept-Drifting Data Streams. PAKDD (2009)
Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham
Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams. ECML/PKDD (2) (2009)
Kevin W. Hamlen, Vishwath Mohan, Mohammad M. Masud, Latifur Khan, Bhavani M. Thuraisingham
Exploiting an antivirus interface. Comput. Stand. Interfaces 31 (6) (2009)
Clay Woolam, Mohammad M. Masud, Latifur Khan
Lacking Labels in the Stream: Classifying Evolving Stream Data with Few Labels. ISMIS (2009)
Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham
A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data. ICDM (2008)
Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham
Peer to peer botnet detection for cyber-security: a data mining approach. CSIIRW (2008)
Mohammad M. Masud, Latifur Khan, Bhavani M. Thuraisingham, Xinran Wang, Peng Liu, Sencun Zhu
Detecting Remote Exploits Using Data Mining. IFIP Int. Conf. Digital Forensics (2008)
Bhavani M. Thuraisingham, Latifur Khan, Mohammad M. Masud, Kevin W. Hamlen
Data Mining for Security Applications. EUC (2) (2008)
Mohammad M. Masud, Latifur Khan, Bhavani M. Thuraisingham
A scalable multi-level feature extraction technique to detect malicious executables. Inf. Syst. Frontiers 10 (1) (2008)
Mohammad M. Masud, Latifur Khan, Bhavani M. Thuraisingham
Feature Based Techniques for Auto-Detection of Novel Email Worms. PAKDD (2007)
Mohammad M. Masud, Latifur Khan, Bhavani M. Thuraisingham
A Hybrid Model to Detect Malicious Executables. ICC (2007)
Mohammad M. Masud, Latifur Khan, Bhavani M. Thuraisingham
E-Mail Worm Detection Using Data Mining. Int. J. Inf. Secur. Priv. 1 (4) (2007)
Mohammad M. Masud, Latifur Khan, Ehab Al-Shaer
Email Worm Detection Using Naïve Bayes and Support Vector Machine. ISI (2006)