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Browsing Articles by Author "Rahman, Sheikh Shah Mohammad Motiur"

Browsing Articles by Author "Rahman, Sheikh Shah Mohammad Motiur"

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  • AndroShow 
    Russel, Md. Omar Faruque Khan; Rahman, Sheikh Shah Mohammad Motiur; Alazab, Mamoun (Studies in Computational Intelligence, Springer, 2020-12-15)
    This paper represents a static analysis based research of android’s feature in obfuscated android malware. Android smartphone’s security and privacy of personal information remain threatened because of android based device ...
  • AndroShow 
    Russel, Md. Omar Faruque Khan; Rahman, Sheikh Shah Mohammad Motiur; Alazab, Mamoun (Scopus, 2021)
    This paper represents a static analysis based research of android’s feature in obfuscated android malware. Android smartphone’s security and privacy of personal information remain threatened because of android based device ...
  • Assessing the Effect of Imbalanced Learning on Cross-project Software Defect Prediction 
    Sohan, Md Fahimuzzman; Jabiullah, Md Ismail; Rahman, Sheikh Shah Mohammad Motiur; Mahmud, S M Hasan (10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE, 2019-07-08)
    Software Defect Prediction (SDP) identifies the defect-prone modules from software source code, which helps to serve good quality software. Mostly previous cross-project SDP models were built based on single project data, ...
  • Evaluation of N-gram Based Multi-layer Approach to Detect Malware in Android 
    Islam, Takia; Rahman, Sheikh Shah Mohammad Motiur; Hasan, Md. Aumit; Rahaman, Abu Sayed Md. Mostafizur; Jabiullah, Md. Ismail (Procedia Computer Science, Elsevier, 2020)
    N-gram techniques usually used in Natural Language Processing (NLP). Those techniques along with stacked generalization has been experimented and assessed in the field of android malware detection. Beacuse of the rapidly ...
  • IntAnti-Phish 
    Rahman, Sheikh Shah Mohammad Motiur; Gope, Lakshman; Islam, Takia; Alazab, Mamoun (Studies in Computational Intelligence , Springer, 2020-12-15)
    Among the cybercriminals, the popularity of phishing has been rapidly growing day by day. Therefore, phishing has become an alarming issue to solve in the field of cybersecurity. Many researchers have already proposed ...
  • IntAnti-Phish 
    Rahman, Sheikh Shah Mohammad Motiur; Gope, Lakshman; Islam, Takia; Alazab, Mamoun (Scopus, 2021)
    Among the cybercriminals, the popularity of phishing has been rapidly growing day by day. Therefore, phishing has become an alarming issue to solve in the field of cyber security. Many researchers have already proposed ...
  • An Investigation and Evaluation of N-Gram, TF-IDF and Ensemble Methods in Sentiment Classification 
    Rahman, Sheikh Shah Mohammad Motiur; Biplob, Khalid Been Md. Badruzzaman; Rahman, Md. Habibur; Sarker, Kaushik; Islam, Takia (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 2020)
    In the area of sentiment analysis and classification, the performance of the classification tasks can be varied based on the usage of text vectorization and feature extraction methods. This paper represents a detailed ...
  • NStackSenti 
    Sohan, Md Fahimuzzman; Rahman, Sheikh Shah Mohammad Motiur; Munna, Md Tahsir Ahmed; Allayear, Shaikh Muhammad; Rahman, Md. Habibur; Rahman, Md. Mushfiqur (Communications in Computer and Information Science, Springer, 2019-11-24)
    Sentiment Detection plays a vital role worldwide to measure the acceptance level of any products, movies or facts in the market. Text vectorization (converting text from human readable to machine readable format) and machine ...
  • OSCRUM: A Modified Scrum for Open Source Software Development 
    Rahman, Sheikh Shah Mohammad Motiur; Mollah, Saiful Alam; Anirban, Shikha; Rahman, Md. Habibur; Rahman, Mostafijur; Hassan, Md. Maruf; Sharif, Md. Hasan (Researchgate, 2018)
    The Open Source Software Development (OSSD) is a movement, challenges many traditional and commercial theories of software development. A group of developers, programmers, and other community members develop the Open ...
  • Performance Assessment of Multiple Machine Learning Classifiers for Detecting the Phishing URLs 
    Rahman, Sheikh Shah Mohammad Motiur; Rafiq, Fatama Binta; Toma, Tapushe Rabaya; Hossain, Syeda Sumbul; Biplob, Khalid Been Badruzzaman (Scopus, 2020-01-09)
    In the field of information security, phishing URLs detection and prevention has recently become egregious. For detecting, phishing attacks several anti-phishing systems have already been proposed by researchers. The ...
  • Phish Stack 
    Rahman, Sheikh Shah Mohammad Motiur; Islam, Takia; Jabiullah, Md. Ismail (Scopus, 2020)
    Stacked Generalization has been assessed and evaluated in the field of Phishing URLs detection. This field has become egregious area of information security. Recently, different phishing URLs detection systems have already ...
  • Revisiting the Class Imbalance Issue in Software Defect Prediction 
    Sohan, Md. Fahimuzzman; Kabir, Md Alamgir; Jabiullah, Md. Ismail; Rahman, Sheikh Shah Mohammad Motiur (2nd International Conference on Electrical, Computer and Communication Engineering, ECCE 2019, IEEE, 2019-04-04)
    Software defect prediction is related to the testing area of software industry. Several methods have been developed for the prediction of bugs in software source codes. The objective of this study is to find the inconsistency ...
  • Simplified Mapreduce Mechanism for Large Scale Data Processing 
    Munna, Md Tahsir Ahmed; Allayear, Shaikh Muhammad; Alam, Mirza Mohtashim; Rahman, Sheikh Shah Mohammad Motiur; Rahman, Md Samadur; Sarker, M. Mesbahuddin (SPC, 2018)
    MapReduce has become a popular programming model for processing and running large-scale data sets with a parallel, distributed paradigm on a cluster. Hadoop MapReduce is needed especially for large scale data like big data ...
  • StackDroid 
    Rahman, Sheikh Shah Mohammad Motiur; Saha, Sanjit Kumar (Communications in Computer and Information Science, Springer, 2019-07-20)
    Attackers or cyber criminals are getting encouraged to develop android malware because of the rapidly growing rate of android users. To detect android malware, researchers and security specialist have been started to ...

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