activity
20102026
most citedBig Data Analytics in Bioinformatics: A Machine Learning Perspective

72 citations · 150 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CR2026

AMD-FCG: An Enhanced Function Call Graph Dataset with Integrated Topological Features for Malware Detection and Classification

Parthajit Borah, Sakshi Singh, D. K. Bhattacharyya +1

As malware illustrates a complex structure and behavior, detection of these has been a significant challenge in the domain of cybersecurity along with related services in daily lif…

cs.CR2026

TUANDROMD-X: Advanced Entropy and Visual Analytics Dataset for Enhanced Malware Detection and Classification

Parthajit Borah, Upasana Sarmah, D. K. Bhattacharyya +1

Malware and malware-based attacks are becoming more prevalent and complex. Attackers regularly come up with new techniques that have the ability to evade conventional and signature…

cs.IR2018★ 40 cited

Plagiarism: Taxonomy, Tools and Detection Techniques

Hussain A Chowdhury, Dhruba K Bhattacharyya

To detect plagiarism of any form, it is essential to have broad knowledge of its possible forms and classes, and existence of various tools and systems for its detection. Based on…

cs.NI2017★ 6 cited

DDoS Attacks: Tools, Mitigation Approaches, and Probable Impact on Private Cloud Environment

Rup Kumar Deka, Dhruba Kumar Bhattacharyya, Jugal Kumar Kalita

The future of the Internet is predicted to be on the cloud, resulting in more complex and more intensive computing, but possibly also a more insecure digital world. The presence of…

cs.CE2015★ 72 cited

Big Data Analytics in Bioinformatics: A Machine Learning Perspective

Hirak Kashyap, Hasin Afzal Ahmed, Nazrul Hoque +2

Bioinformatics research is characterized by voluminous and incremental datasets and complex data analytics methods. The machine learning methods used in bioinformatics are iterativ…

cs.CV2012★ 7 cited

An Effective Method for Fingerprint Classification

Monowar H. Bhuyan, Sarat Saharia, Dhruba Kr Bhattacharyya

This paper presents an effective method for fingerprint classification using data mining approach. Initially, it generates a numeric code sequence for each fingerprint image based…