Publications: Department of Computer Science & Engineering

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Protecting Big Data through Microaggregation Technique for Secured Cyber-Physical Systems

S. M. Tonni, S. Parvin, A. Gawanmeh and J. Jackson, “Protecting Big Data through Microaggregation Technique for Secured Cyber-Physical Systems,” in “Cyber-Physical Systems for Next Generation Networks”, IGI Global, Hershey, PA, USA, May 2018, pp. 99-120.

Securing Big Data Efficiently through Microaggregation Technique

S. M. Tonni, M. Z. Rahman, S. Parvin and A. Gawanmeh, “Securing Big Data Efficiently through Microaggregation Technique,” 2017 IEEE 37th International Conference on Distributed Computing Systems Workshops (ICDCSW), Atlanta, GA, USA, 2017, pp. 125-130. doi: 10.1109/ICDCSW.2017.65,

BFM: a forward backward string matching algorithm with improved shifting for information retrieval

M. O. Al-Faruk K. M. Hussain, M. A. Shahriar and S. M. Tonni, “BFM: a forward-backwards string matching algorithm with improved shifting for information retrieval”, In International Journal of Information Technology, Oct. 2019, issn: 2511-2112, doi:10.1007/s41870-019-00371-1.

Data and model dependencies of membership inference attack

Tonni, S. M., Vatsalan, D., Farokhi, F., Kaafar, D., Lu, Z., & Tangari, G. "Data and model dependencies of membership inference attack." arXiv preprint arXiv:2002.06856 (2020).

Journal Publication
  • Sadia Nowrin, Papiya Nazneen and Lafifa Jamal, “Design of a Compact Reversible Read-Only-Memory with MOS Transistors”, International Journal of VLSI Design and Communication Systems (VLSICS), Vol. 6, No. 5, pp. 69-84, October, 2015.
Conference & Seminars
  1. Sadia Nowrin, Lafifa Jamal and Humayra Tasnim, “An Efficient Approach to Design A Reversible Signed Multiplier”, TENCON, IEEE- Region 10 Conference, Bangkok, Thailand, pp. 1-6, October, 2014.

  2.  Sadia Nowrin, Lafifa Jamal and Hafiz Md. Hasan Babu, “Design of an Optimized Reversible Bidirectional Barrel Shifter, 2016 IEEE International Symposium on Circuits and Systems (ISCAS), Montreal, QC, pp. 730-733, May, 2016.

Journal
  • Mazharul Islam, Kowshika Sarker, Trisha Das, Rezwana Reaz, and Md. Shamsuzzoha Bayzid, STELAR: A statistically consistent coalescent-based species tree estimation method by maximizing triplet consistency, BMC Genomics, 21:136. (PDF)
Journal
  • Mostofa Rafid Uddin, Sazan Mahbub, Md Saifur Rahman, and Md Shamsuzzoha Bayzid. SAINT: Self-Attention Augmented Inception-Inside-Inception Network Improves Protein Secondary Structure Prediction. Bioinformatics, Oxford University Press. [Link]
  • Md Jakaria, Kowshika Sarker, Mostofa Rafid Uddin, Md. Mohaiminul Islam, Trisha Das, Md Shamsuzzoha Bayzid, Rameen Shakur. eMED-DNA: An in silico operating system for clinical medical data storage within the human genome. Preprint available at:  bioRxiv (2019): 814830.
International Conference

Published

  1. M. Al-Imran, K. J. Rahaman, M. Rasel, and S. H. Ripon, “An Analytical Evaluation of a Deep Learning Model to Detect Network Intrusion,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12832 LNAI, pp. 129–140, 2021, doi: 10.1007/978-3-030-80253-0_12/COVER.
  2. M. Al-Imran, N. N. Juthi, T. S. Mahi, and S. H. Khan, “Evaluation of Linear Imputation Based Pediatric Appendicitis Detection System Using Machine Learning Algorithm,” Communications in Computer and Information Science, vol. 1911 CCIS, pp. 437–450, 2024, doi: 10.1007/978-981-99-7240-1_35/COVER.
  3. Hridoy, Kazi Mostaq, Saiful Islam Akash, Fahmida Afrose Dipti, Mahamudul Hasan, Jesan Ahammed Ovi, M. Al-Imran, and Sarwar Jahan. "Heart Disease Prediction Using Machine Learning Algorithms." In 2023 4th International Conference on Big Data Analytics and Practices (IBDAP), pp. 1-6. IEEE, 2023.

Accepted

  1. M. Al-Imran, Sajid Faysal Fahim, Sanjida Simla, Fatin Hasnat Shakib, Md Belayet Hossain, and Sarwar Jahan, “Grapevine Leaf Disease Classification using Deep Convolutional Neural Networks” in International Conference on Advancements in Next Generation Computing and (ICNGCCT), IEEE, 2024.
  2. Sajid Faysal Fahim, Fahmida Afrose Dipti, Z. T. Nishat, M. M. Azim, M. Al-Imran, “MobileNetV2: A proficient convolutional neural network for the Classification of Date Fruits into Genetic Varieties,” in International Conference on Machine Learning Algorithms in Science, Technology, Engineering, Management, Medical Science, Healthcare, and Advances in Machine Learning (ICMLA), 2024.
International Journal
  1. M. Al-Imran and S. H. Ripon, “Network Intrusion Detection: An Analytical Assessment Using Deep Learning and State-of-the-Art Machine Learning Models,” International Journal of Computational Intelligence Systems, vol. 14, no. 1, 2021, doi: 10.1007/s44196-021-00047-4.
M. S. Ahmed, R. J. Rony, M. M. Ashhab and N. Ahmed, "An Empirical Study to Analyze the Impact of Instagram on Students' Academic Results," 2020 IEEE Region 10 Symposium (TENSYMP), 2020, pp. 666-669, doi: 10.1109/TENSYMP50017.2020.9230945.

Instagram is very popular worldwide, however, a few studies have been conducted regarding the impact of Instagram on academic results. These studies are based on self-reported data which may provide inaccurate findings. Using actual usage data of 7 days, this paper presents a quantitative study [N=71] to examine the impact of Instagram on academic results. We also present how much Instagram is used in different time ranges (e.g. morning) and what is the impact of that on CGPA. We found that Instagram usage behaviour varies by time range. Students used it maximum in the evening and minimum in the morning. However, our correlational analysis shows that there is no correlation between Instagram usage data and CGPA. Supporting this, our comparative study also shows that high and low Instagram users have indifferent CGPA. These findings highlight the possibility that negative impact of social media can be mitigated through proper use.

J. Ahmed, M. M. Ashhab, M. A. Razzaque and M. M. Rahman, "Execution Delay-aware Task Assignment in Mobile Edge Cloud and Internet Cloud," 2019 International Conference on Sustainable Technologies for Industry 4.0 (STI), 2019, pp. 1-6, doi: 10.1109/STI4767

Mobile Edge Cloud (MEC) provides computation ability close proximate of user compared to Internet Cloud (IC), which ensures flexibility and reliability in executing codes on mobile devices. Offloading resource hungry mobile application to MEC by mobile devices for computation is challenging. On the other hand, maintaining task provisioning within delay constraint is important too. This assignment policy still requires improvement in decreasing completion time of task and thus providing better Quality of Experience (QoE) for users. In this paper, we formulated a delay-aware task assignment as an optimization problem. The optimal assignment of task is Integer Linear Problem (ILP) and NP-Complete. As optimal solution is time costly, hence we proposed a heuristic algorithm, which is done by cooperating the MEC and IC servers to provide feasible task assignment within delay constraint. Extensive performance evaluation of the proposed algorithm indicates significant improvement in successful tasks execution and better QoE can be achieved compared to existing state-of-the-art works.

Book Chapters:

1. Khan, M.K.M., Rahim, M.S. and Islam, A.Z.M.T., 2021. Evaluation of Energy Efficiency of Opportunistic Network Routing Protocols. In Opportunistic Networks (pp. 207-223). CRC Press, Taylor & Francis.

2. Khan, M.K.M., Rahim, M.S. and Islam, A.Z.M.T., 2021. Evaluating Energy Efficiency and Performance of Social-Based Routing Protocols in Delay-Tolerant Networks. In Intelligent Systems and Computing (pp. 513-523). Springer, Singapore. (Springer, SCOPUS). DOI:10.1007/978-981-33-4673-4_41.

3. Khan, M.K.M., Roy, S.C., Rahim, M.S. and Islam, A.Z.M.T., 2020, February. On the energy efficiency and performance of delay-tolerant routing protocols. In Cyber Security and Computer Science (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering) (pp. 553-565). Springer, Cham. (Springer, SCOPUS).  DOI: 10.1007/978-3-030-52856-0_44.

4. Khan, M.K.M., Rahim, M.S. and Islam, A.Z.M.T., 2023. Investigating the Performance of Delay-Tolerant Routing Protocols Using Trace-Based Mobility Models. The Fourth Industrial Revolution and Beyond, Lecture Notes in Electrical Engineering (LNEE), Springer, (SCOPUS), vol. 980, pp. 319-334. DOI: https://doi.org/10.1007/978-981-19-8032-9_23.

Journals:

5. Khan, M.K.M., Kawsaruzzaman, Rahman, M.M. and Al Imtiaz, 2020. The Impact of Node Density and Buffer Size on DTN Routing Protocols with Energy Efficiency. European Journal of Engineering and Technology Research, 5(9), pp.1054-1061.  DOI: https://doi.org/10.24018/ejers.2020.5.9.2104.

6. Islam, G. Z., Hossain, M. M., Faruk, M., Nur, F. N., Hasan, N., Tumpa, Z. N., Khan, M.K.M., 2022. The IoT-Based Intelligent Gas Leakage Detection and Fire Protection System. International Journal of Interactive Mobile Technologies (iJIM), 16(21), (DBLP, SCOPUS (CS=2.9))

Conference Proceedings:

7. Khan, M.K.M. and Rahim, M.S., 2018, February. Performance analysis of social-aware routing protocols in delay tolerant networks. In 2018 International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2) (pp. 1-4). IEEE. (IEEE Xplore) DOI: 10.1109/IC4ME2.2018.8465592.

8. Khan, M.K.M., Rahim, M.S. and Islam, A.Z.M.T., 2021, November. Impact of Trace-Based Mobility Models on the Energy Consumption of Delay-Tolerant Routing Protocols. In 2021 5th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT) (pp. 1-6). IEEE. (IEEE Xplore) DOI:10.1109/ICEEICT53905.2021.9667942.

9. Kankara, M. K., Al Imtiaz, Chowdhury, I., Khan, M. K. M., Ahmed, T., 2022. Arduino and NodeMCU based Smart Soil Moisture Balancer with IoT Integration. World Conference on Information Systems for Business Management (ISBM), Bangkok, Thailand, (Accepted). (Springer, SCOPUS)

10. Alam, M. K., Al Imtiaz, Chowdhury, I., Khan, M. K. M., 2022. Remote Health Monitoring System using Microcontroller – Suitable for Rural and Elderly Patients", World Conference on Information Systems for Business Management (ISBM), Bangkok, Thailand, (Accepted). (Springer, SCOPUS)


Amit Mandal, Mehedi Hasan, Anna Fariha, Chowdhury Farhan Ahmed: GSCS - Graph Stream Classification with Side Information. APWeb 2015: 389-400
Quazi Marufur Rahman, Anna Fariha, Amit Mandal, Chowdhury Farhan Ahmed, Carson K. Leung: A Sliding Window-Based Algorithm for Detecting Leaders from Social Network Action Streams. WI-IAT (1) 2015: 133-136
IntellCache: An Intelligent Web Caching Scheme for Multimedia Contents.

Niloy, N.T. and Islam, M.S., 2020, August. In 2020 Joint 9th International Conference on Informatics, Electronics & Vision (ICIEV) and 2020 4th International Conference on Imaging, Vision & Pattern Recognition (ICIVPR) (pp. 1-6). IEEE.

Impact of Label Noise and Efficacy of Noise Filters in Software Defect Prediction

Khan, S.S., Niloy, N.T., Azmain, M.A. and Kabir, A., 2020. In SEKE (pp. 347-352).

Prioritize Android App Reviews for Effective Version Release.

Rahman, M.A., Mahmud, O., Niloy, N.T. and Siddik, M.S., 2020. ASM Sci. J., 13, pp.21-30.

Predicting an effective android application release based on user reviews and ratings.

Mahmud, O., Niloy, N.T., Rahman, M.A. and Siddik, M.S., 2019, June.  In 2019 7th International Conference on Smart Computing & Communications (ICSCC) (pp. 1-5). IEEE.