JOURNAL, CONFERENCE AND BOOK CHAPTER (PUBLICATIONS)

P17

Md. Omar Faruque Khan Russel, Sheikh Shah Mohammad Motiur Rahman and Takia Islam, A Large Scale Investigation to Identify the Pattern of App Component in Obfuscated Android Malwares, Communications in Computer and Information Science - Springer, (ISSN 1865-0929), (2020). (Accepted)

P16

Md. Omar Faruque Khan Russel, Sheikh Shah Mohammad Motiur Rahman and Takia Islam, A Large Scale Investigation to Identify the Pattern of Permissions in Obfuscated Android Malwares, Springer Nature Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST) Series, (ISSN: 1867-8211), (2020). (Accepted)

P15

Sheikh Shah Mohammad Motiur Rahman, Md. Habibur Rahman, Kaushik Sarker, Khalid Been Md. Badruzzaman Biplob and Takia Islam, An Investigation and Evaluation of N-Gram, TF-IDF and Ensemble Methods in Sentiment Classification, Springer Nature Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST) Series, (ISSN: 1867-8211), (2020). (Accepted)

P14

Takia Islam, D K Tonoy Kumar, Sheikh Shah Mohammad Motiur Rahman, Md. Ismail Jabiullah, Mamoun Alazab and A. S. M. Kayes, Ensuring Data Integrity: Towards A Blockchain-Based Platform to Share the Datasets , Blockchain for Cybersecurity and Privacy: Architectures, challenges and applications (Books Chapter) ,CRC Press, Taylor and Francis Group, (2020). (In Press)
ISBN 9780367343101

P13

Takia Islam, Sheikh Shah Mohammad Motiur Rahman, Md. Aumit Hasan, Abu Sayed Md. Mostafizur Rahaman and Md. Ismail Jabiullah, Evaluation of N-Gram Based Multi-Layer Approach to Detect Malware in Android, Third International Conference on Computing and Network Communications (CoCoNet’19), India, Procedia Computer Science Journal, Elsevier, (2020). (Accepted)

P12

Sheikh Shah Mohammad Motiur Rahman, Takia Islam and Md. Ismail Jabiullah, PhishStack: Evaluation of Stacked Generalization in Phishing URLs Detection, International Conference on Computational Intelligence and Data Science (ICCIDS 2020), Gurugram,India, Procedia Computer Science Journal, Elsevier, (2020). (Accepted)

P11

Sheikh Shah Mohammad Motiur Rahman, Fatama Binta Rafiq, Tapushe Rabaya Toma, Syeda Sumbul Hossain and Khalid Been Badruzzaman Biplob, Performance Assessment of Multiple Machine Learning Classifiers for Detecting the Phishing URLs, Advances in Intelligent Systems and Computing - Springer, (ISSN 2194-5357), (2020).
DOI: https://doi.org/10.1007/978-981-15-1097-7_25

P10

Md. Mahfuzur Rahman, Sheikh Shah Mohammad Motiur Rahman, Shaikh Muhammad Allayear, Md. Fazlul Karim Patwary and Md Tahsir Ahmed Munna , A Sentiment Analysis Based Approach for Understanding the User Satisfaction on Android Application, Advances in Intelligent Systems and Computing - Springer, (ISSN 2194-5357),(2020).
DOI: https://doi.org/10.1007/978-981-15-1097-7_33

P9

Md. Fahimuzzman Sohan , Md. Ismail Jabiullah Sheikh Shah Mohammad Motiur Rahman and S M Hasan Mahmud, Assessing the Effect of Imbalanced Learning on Cross-project Software Defect Prediction, INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT),Kanpur,India, IEEE Digital Xplore, (2019) .
DOI: https://doi.org/10.1109/ICCCNT45670.2019.8944622

P8

Md. Fahimuzzman Sohan , Md. Alamgir Kabir , Md. Ismail Jabiullah and Sheikh Shah Mohammad Motiur Rahman,Revisiting the Class Imbalance Issue in Software Defect Prediction, International Conference on Electrical, Computer and Communication Engineering (ECCE),Cox’s Bazar, Bangladesh, IEEE Digital Xplore, (2019).
DOI: https://doi.org/10.1109/ECACE.2019.8679382

P7

Md. Fahimuzzaman Sohan, Sheikh Shah Mohammad Motiur Rahman, Md Tahsir Ahmed Munna, Shaikh Muhammad Allayear, Md. Habibur Rahman and Md. Mushfiqur Rahman, NStackSenti: A Multi-Level Approach Using N-gram with Stacked Generalization for Detecting the Sentiment of Users, Communications in Computer and Information Science - Springer, (ISSN 1865-0929),(2019).
DOI:https://doi.org/10.1007/978-981-15-1718-1_4

P6

Sheikh Shah Mohammad Motiur Rahman and Sanjit Kumar Saha, StackDroid: Evaluation of A Multi-Level Approach for Detecting the Malware on Android using Stacked Generalization, Communications in Computer and Information Science - Springer, (ISSN 1865-0929), (2019).
DOI: https://doi.org/10.1007/978-981-13-9181-1_53

P5

S. Rayhan Kabir, Mirza Mohtashim Alam, Shaikh Muhammad Allayear, Md Tahsir Ahmed Munna, Syeda Sumbul Hossain and Sheikh Shah Mohammad Motiur Rahman, Relative Direction: Location Path Providing Method for Allied Intelligent Agent, Communications in Computer and Information Science - Springer, (ISSN 1865-0929),(2018).
DOI: https://doi.org/10.1007/978-981-13-1810-8_38

P4

Md Tahsir Ahmed Munna, Shaikh Muhammad Allayear, Mirza Mohtashim Alom, Sheikh Shah Mohammad Motiur Rahman, Md Samadur Rahman and M. Mesbahuddin Sarker, Simplified MapReduce Mechanism for Large Scale Data Processing, International Journal of Engineering & Technology (UAE), (ISSN 2227-524X),(2018).
DOI: https://doi.org/10.14419/ijet.v7i3.8.15211

P3

Md. Shohel Rana, Sheikh Shah Mohammad Motiur Rahman and Andrew H. Sung, Evaluation of Tree Based Machine Learning Classifiers for Malware Detection on Android, Springer prestigious series LNCS/LNAI, (ISSN: 0302-9743), (2018).
DOI: https://doi.org/10.1007/978-3-319-98446-9_35

P2

Sheikh Shah Mohammad Motiur Rahman, Md. Habibur Rahman, Kaushik Sarker, Md. Samadur Rahman, Nazmul Ahsan and M. Mesbahuddin Sarker, Supervised Ensemble Machine Learning Aided Performance Evaluation of Sentiment Classification, Journal of Physics: Conference Series (JPCS), (ISSN: 1742-6588), (2018).
DOI: https://doi.org/10.1088/1742-6596/1060/1/012036

P1

Sheikh Shah Mohammad Motiur Rahman, Saiful Alam Mollah, Shikha Anirban, Md. Habibur Rahman, Md. Mostafijur Rahman, Md. Maruf Hassan, Md. Hasan Sharif, OSCRUM: A Modified Scrum for Open Source Software Development, International Journal of Simulation: Systems, Science & Technology, IJSSST, (ISSN 1473-804x), (2018).
DOI: https://doi.org/10.5013/IJSSST.a.19.03.20