Mohammad Masud

Research output

Research output per year 2006 2008 2009 2011 2015 2016 2017 2021 2022 2023 2023

• 35 Conference contribution
• 31 Article
• 4 Review article
• 3 Editorial
• 5 More
  • 2 Book
  • 2 Chapter
  • 1 Comment/debate

Research output per year

Research output per year

Search results

• 2022

  Deep Learning Based Cardiac Phase Detection Using Echocardiography Imaging

  Farhad, M., Masud, M. M. & Beg, A., 2022, Advanced Data Mining and Applications - 17th International Conference, ADMA 2021, Proceedings. Li, B., Yue, L., Jiang, J., Chen, W., Li, X., Long, G., Fang, F. & Yu, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-17 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13087 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Echocardiography 100%
  • Cardiac 69%
  • Imaging 60%
  • Learning 49%
  • Deep learning 48%
  1 Citation (Scopus)

• Smart Online Exam Proctoring Assist for Cheating Detection

  Masud, M. M., Hayawi, K., Mathew, S. S., Michael, T. & El Barachi, M., 2022, Advanced Data Mining and Applications - 17th International Conference, ADMA 2021, Proceedings. Li, B., Yue, L., Jiang, J., Chen, W., Li, X., Long, G., Fang, F. & Yu, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 118-132 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13087 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Multivariate Time Series 100%
  • Human 69%
  • Time series 66%
  • Learning Environment 66%
  • Online Learning 59%
  6 Citations (Scopus)
• 2021

  Analysis of emotion recognition from cross-lingual speech: Arabic, English, and Urdu

  Farhad, M., Ismail, H., Harous, S., Masud, M. M. & Beg, A., Jan 19 2021, Proceedings of 2nd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2021. Institute of Electrical and Electronics Engineers Inc., p. 42-47 6 p. 9357726. (Proceedings of 2nd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Emotion Recognition 100%
  • Emotion 66%
  • Speech 63%
  • Classifier 54%
  • Random Forest 46%
  4 Citations (Scopus)

• Blockchain-based Secure CIDS Operation

  Makhdoom, I., Hayawi, K., Kaosar, M., Mathew, S. S. & Masud, M. M., 2021, 2021 5th Cyber Security in Networking Conference, CSNet 2021. Institute of Electrical and Electronics Engineers Inc., p. 103-106 4 p. (2021 5th Cyber Security in Networking Conference, CSNet 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Intrusion Detection System 100%
  • Blockchain 86%
  • Intrusion detection 75%
  • Attack 44%
  • Incidents 29%
  2 Citations (Scopus)
• 2020

  Effective Patient Similarity Computation for Clinical Decision Support Using Time Series and Static Data

  Masud, M. M., Hayawi, K., Samuel Mathew, S., Dirir, A. & Cheratta, M., Feb 4 2020, Proceedings of the Australasian Computer Science Week Multiconference 2020, ACSW 2020. Association for Computing Machinery, a33. (ACM International Conference Proceeding Series).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Time series 100%
  • Decision support systems 39%
  • Intensive care units 25%
  • Blood pressure 22%
  • Labeling 18%
  2 Citations (Scopus)
• 2017

  Efficient topology discovery and routing in thick wireless Linear Sensor Networks

  Jawhar, I., Zhang, S., Wu, J., Mohamed, N. & Masud, M. M., Nov 20 2017, 2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017. Institute of Electrical and Electronics Engineers Inc., p. 91-96 6 p. 8116358. (2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Sensor Networks 100%
  • Sensor 82%
  • Routing 77%
  • Sensor networks 61%
  • Topology 50%
  3 Citations (Scopus)

• Multistream regression with asynchronous concept drift detection

  Dong, B., Li, Y., Gao, Y., Haque, A., Khan, L. & Masud, M. M., Jul 1 2017, Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017. Nie, J-Y., Obradovic, Z., Suzumura, T., Ghosh, R., Nambiar, R., Wang, C., Zang, H., Baeza-Yates, R., Baeza-Yates, R., Hu, X., Kepner, J., Cuzzocrea, A., Tang, J. & Toyoda, M. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 596-605 10 p. (Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017; vol. 2018-January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Concept Drift 100%
  • Regression 39%
  • Output 38%
  • Data Streams 29%
  • Data streams 26%
  10 Citations (Scopus)

• Survival prediction of ICU patients using knowledge intensive data grouping and selection

  Masud, M. M., Cheratta, M. & Harahsheh, A. R. A., Jul 2 2017, 2017 6th International Conference on Information and Communication Technology and Accessbility, ICTA 2017. Institute of Electrical and Electronics Engineers Inc., p. 1-6 6 p. 8336058. (2017 6th International Conference on Information and Communication Technology and Accessbility, ICTA 2017; vol. 2017-December).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Intensive care units 100%
  • grouping 72%
  • caregiver 16%
  • coverage 14%
  • death 13%
  1 Citation (Scopus)

• Toward optimal streaming feature selection

  Al Nuaimi, N. & Masud, M. M., Jul 2 2017, Proceedings - 2017 International Conference on Data Science and Advanced Analytics, DSAA 2017. Institute of Electrical and Electronics Engineers Inc., p. 775-782 8 p. (Proceedings - 2017 International Conference on Data Science and Advanced Analytics, DSAA 2017; vol. 2018-January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Feature Selection 100%
  • Streaming 82%
  • Big Data 61%
  • Big data 55%
  • Feature extraction 47%
  6 Citations (Scopus)
• 2016

  IDS performance enhancement with intelligent predictive packet inspection

  Masud, M. M., Al Maleki, M. S. & Trabelsi, Z., Jan 1 2016, 7th International Multi-Conference on Complexity, Informatics and Cybernetics, IMCIC 2016 and 7th International Conference on Society and Information Technologies, ICSIT 2016 - Proceedings. International Institute of Informatics and Systemics, IIIS, Vol. 1. p. 107-112 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Intrusion detection 100%
  • Inspection 74%
  • Classifiers 69%
  • String searching algorithms 37%
  • Knowledge based systems 26%

• Mortality prediction of ICU patients using lab test data by feature vector compaction & classification

  Masud, M. M. & Harahsheh, A. R. A., 2016, Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016. Ak, R., Karypis, G., Xia, Y., Hu, X. T., Yu, P. S., Joshi, J., Ungar, L., Liu, L., Sato, A-H., Suzumura, T., Rachuri, S., Govindaraju, R. & Xu, W. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 3404-3411 8 p. 7841001. (Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Intensive care units 100%
  • Compaction 63%
  • Medical informatics 26%
  • Data Analytics 20%
  • Health care 19%
  5 Citations (Scopus)

• Network packet filtering and deep packet inspection hybrid mechanism for IDS early packet matching

  Trabelsi, Z., Zeidan, S. & Masud, M. M., May 19 2016, Proceedings - IEEE 30th International Conference on Advanced Information Networking and Applications, IEEE AINA 2016. Institute of Electrical and Electronics Engineers Inc., Vol. 2016-May. p. 808-815 8 p. 7474172

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Packet networks 100%
  • Intrusion detection 87%
  • Inspection 64%
  • Transport Layer 21%
  • Application Layer 19%
  9 Citations (Scopus)
• 2015

  Online prediction of chess match result

  Masud, M. M., Al-Shehhi, A., Al-Shamsi, E., Al-Hassani, S., Al-Hamoudi, A. & Khan, L., Jan 1 2015, Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Proceedings. Ho, T-B., Motoda, H., Motoda, H., Lim, E-P., Cao, T., Cheung, D. & Zhou, Z-H. (eds.). Springer Verlag, p. 525-537 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9077).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Game 100%
  • Prediction 99%
  • Ensemble 61%
  • Classifier 46%
  • Predict 38%
  2 Citations (Scopus)

• Trusting the same: Using similarity to establish trust among vehicles

  Falasi, H. A., Masud, M. M. & Mohamed, N., Aug 19 2015, 2015 International Conference on Collaboration Technologies and Systems, CTS 2015. Smari, W. W., Natarian, J., McQuay, W. & Nygard, M. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 64-69 6 p. 7210401. (2015 International Conference on Collaboration Technologies and Systems, CTS 2015).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Vehicular ad hoc networks 100%
  • Ad hoc networks 84%
  • Data mining 72%
  • Decision making 62%
  5 Citations (Scopus)
• 2014

  A data driven firewall for faster packet filtering

  Masud, M. M., Mustafa, U. & Trabelsi, Z., 2014, 4th International Conference on Communications and Networking, ComNet 2014 - Proceedings. IEEE Computer Society, 6840904. (4th International Conference on Communications and Networking, ComNet 2014 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Classifiers 100%
  • Data mining 58%
  • Labels 30%
  • Scanning 27%
  • Throughput 24%
  2 Citations (Scopus)

• FSBD: A framework for scheduling of big data mining in cloud computing

  Ismail, L., Masud, M. M. & Khan, L., Sept 22 2014, Proceedings - 2014 IEEE International Congress on Big Data, BigData Congress 2014. Chen, P., Chen, P. & Jain, H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 514-521 8 p. 6906823. (Proceedings - 2014 IEEE International Congress on Big Data, BigData Congress 2014).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Big data 100%
  • Cloud computing 97%
  • Data mining 92%
  • Scheduling 76%
  • Data Analytics 20%
  11 Citations (Scopus)

• Resilience of fingerprint and iris readers against common denial of service attacks

  Trabelsi, Z., Al Hemairy, M. & Masud, M. M., Oct 3 2014, 2014 World Congress on Computer Applications and Information Systems, WCCAIS 2014. Institute of Electrical and Electronics Engineers Inc., 6916542. (2014 World Congress on Computer Applications and Information Systems, WCCAIS 2014).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Denial-of-service attack 100%
  • Biometrics 86%
  • Local area networks 21%
  • Experiments 15%
  1 Citation (Scopus)
• 2013

  Firewall performance optimization using data mining techniques

  Mustafa, U., Masud, M. M., Trabelsi, Z., Wood, T. & Al Harthi, Z., Sept 16 2013, 2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013. p. 934-940 7 p. 6583682. (2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data mining 100%
  • Bandwidth 25%
  9 Citations (Scopus)
• 2012

  Cloud guided stream classification using class-based ensemble

  Al-Khateeb, T. M., Masud, M. M., Khan, L. & Thuraisingham, B., Oct 2 2012, Proceedings - 2012 IEEE 5th International Conference on Cloud Computing, CLOUD 2012. p. 694-701 8 p. 6253568. (Proceedings - 2012 IEEE 5th International Conference on Cloud Computing, CLOUD 2012).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data streams 100%
  • Classifiers 34%
  19 Citations (Scopus)

• Stream classification with recurring and novel class detection using class-based ensemble

  Al-Khateeb, T., Masud, M. M., Khan, L., Aggarwal, C., Han, J. & Thuraisingham, B., 2012, Proceedings - 12th IEEE International Conference on Data Mining, ICDM 2012. p. 31-40 10 p. 6413716. (Proceedings - IEEE International Conference on Data Mining, ICDM).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data streams 100%
  • Classifiers 34%
  • Data storage equipment 30%
  58 Citations (Scopus)
• 2011

  Detecting recurring and novel classes in concept-drifting data streams

  Masud, M. M., Al-Khateeb, T. M., Khan, L., Aggarwal, C., Gao, J., Han, J. & Thuraisingham, B., 2011, Proceedings - 11th IEEE International Conference on Data Mining, ICDM 2011. p. 1176-1181 6 p. 6137334. (Proceedings - IEEE International Conference on Data Mining, ICDM).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data streams 100%
  • Labeling 24%
  • Data storage equipment 15%
  60 Citations (Scopus)

• On-line anomaly detection based on relative entropy

  Altaher, A., Ramadass, S., Thuraisingham, B. & Mehedy, M., 2011, Proceedings - 2011 4th IEEE International Conference on Broadband Network and Multimedia Technology, IC-BNMT 2011. p. 33-36 4 p. 6155890. (Proceedings - 2011 4th IEEE International Conference on Broadband Network and Multimedia Technology, IC-BNMT 2011).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Anomaly detection 100%
  • Entropy 80%
  • Computer networks 65%
  • Internet 43%
  • Adaptive filters 34%
  2 Citations (Scopus)
• 2010

  Addressing concept-evolution in concept-drifting data streams

  Masud, M. M., Chen, Q., Khan, L., Aggarwal, C., Gao, J., Han, J. & Thuraisingham, B., 2010, Proceedings - 10th IEEE International Conference on Data Mining, ICDM 2010. p. 929-934 6 p. 5694063. (Proceedings - IEEE International Conference on Data Mining, ICDM).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data streams 100%
  • Anomaly detection 17%
  96 Citations (Scopus)

• Classification and novel class detection in data streams with active mining

  Masud, M. M., Gao, J., Khan, L., Han, J. & Thuraisingham, B., 2010, Advances in Knowledge Discovery and Data Mining - 14th Pacific-Asia Conference, PAKDD 2010, Proceedings. PART 2 ed. p. 311-324 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6119 LNAI, no. PART 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data Streams 100%
  • Mining 88%
  • Data streams 72%
  • Concept Drift 58%
  • Labeling 23%
  42 Citations (Scopus)

• Classification and novel class detection of data streams in a dynamic feature space

  Masud, M. M., Chen, Q., Gao, J., Khan, L., Han, J. & Thuraisingham, B., 2010, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2010, Proceedings. PART 2 ed. p. 337-352 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6322 LNAI, no. PART 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data Streams 100%
  • Feature Space 97%
  • Concept Drift 78%
  • Data streams 72%
  • Concepts 26%
  50 Citations (Scopus)
• 2009

  A multi-partition multi-chunk ensemble technique to classify concept-drifting data streams

  Masud, M. M., Gao, J., Khan, L., Han, J. & Thuraisingham, B., 2009, 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009. p. 363-375 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5476 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data Streams 100%
  • Data streams 72%
  • Ensemble 70%
  • Classifier 60%
  • Classify 56%
  36 Citations (Scopus)

• Integrating novel class detection with classification for concept-drifting data streams

  Masud, M. M., Gao, J., Khan, L., Han, J. & Thuraisingham, B., 2009, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2009, Proceedings. PART 2 ed. Springer Verlag, p. 79-94 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5782 LNAI, no. PART 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data Streams 100%
  • Data streams 72%
  • Concept Drift 45%
  • Concepts 37%
  • Training 25%
  62 Citations (Scopus)

• Lacking labels in the stream: Classifying evolving stream data with few labels

  Woolam, C., Masud, M. M. & Khan, L., 2009, Foundations of Intelligent Systems - 18th International Symposium, ISMIS 2009, Proceedings. p. 552-562 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5722 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data Streams 100%
  • Labels 60%
  • Data streams 43%
  • Training 25%
  • Semi-supervised Clustering 22%
  21 Citations (Scopus)
• 2008

  A practical approach to classify evolving data streams: Training with limited amount of labeled data

  Masud, M. M., Gao, J., Khan, L., Han, J. & Thuraisingham, B., 2008, Proceedings - 8th IEEE International Conference on Data Mining, ICDM 2008. p. 929-934 6 p. 4781203. (Proceedings - IEEE International Conference on Data Mining, ICDM).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data streams 86%
  • Botnet 28%
  • Supervised learning 22%
  • Labeling 20%
  • Learning algorithms 17%
  126 Citations (Scopus)

• Data mining for security applications

  Thuraisingham, B., Khan, L., Masud, M. M. & Hamlen, K. W., 2008, Proceedings of The 5th International Conference on Embedded and Ubiquitous Computing, EUC 2008. p. 585-589 5 p. 4755289. (Proceedings of The 5th International Conference on Embedded and Ubiquitous Computing, EUC 2008; vol. 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Intrusion detection 100%
  • Security of data 92%
  • Data mining 81%
  • Anomaly detection 50%
  • Data streams 49%
  23 Citations (Scopus)

• Flow-based identification of botnet traffic by mining multiple log files

  Masud, M. M., Al-khaleeb, T., Khan, L., Thuraisinghatn, B. & Hamlcn, K. W., 2008, 2008 1st International Conference on Distributed Frameworks and Application, DFmA 2008. p. 200-206 7 p. 4784437. (2008 1st International Conference on Distributed Frameworks and Application, DFmA 2008).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Botnet 100%
  • Traffic control 81%
  • Packet networks 29%
  • Tile 27%
  • Ions 22%
  54 Citations (Scopus)

• Peer to peer botnet detection for cyber-security: A data mining approach

  Khan, L., Masud, M. M., Gao, J., Han, J. & Thuraisingham, B., 2008, CSIIRW'08 - 4th Annual Cyber Security and Information Intelligence Research Workshop: Developing Strategies to Meet the Cyber Security and Information Intelligence Challenges Ahead. a39. (CSIIRW'08 - 4th Annual Cyber Security and Information Intelligence Research Workshop: Developing Strategies to Meet the Cyber Security and Information Intelligence Challenges Ahead).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Botnet 100%
  • Security of data 70%
  • Data mining 61%
  • Classifiers 48%
  • Software agents 7%
  12 Citations (Scopus)
• 2007

  A hybrid model to detect malicious executables

  Masud, M. M., Khan, L. & Thuraisingham, B., Dec 1 2007, 2007 IEEE International Conference on Communications, ICC'07. p. 1443-1448 6 p. 4288913. (IEEE International Conference on Communications).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Classifiers 100%
  • Data mining 39%
  • Support vector machines 37%
  • Feature extraction 36%
  47 Citations (Scopus)

• Feature based techniques for auto-detection of novel email worms

  Masud, M. M., Khan, L. & Thuraisingham, B., 2007, Advances in Knowledge Discovery and Data Mining - 11th Pacific-Asia Conference, PAKDD 2007, Proceedings. Springer Verlag, p. 205-216 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4426 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Electronic Mail 100%
  • Worm 96%
  • Electronic mail 74%
  • Principal component analysis 63%
  • Principal Component Analysis 54%
  10 Citations (Scopus)
• 2006

  Email worm detection using naïve bayes and support vector machine

  Masud, M. M., Khan, L. & Al-Shaer, E., Jan 1 2006, Intelligence and Security Informatics - IEEE International Conference on Intelligence and Security Informatics, ISI 2006, Proceedings. Springer Verlag, p. 733-734 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3975 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)