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Debatosh Debnath

Researcher at Oakland University

Publications -  41
Citations -  472

Debatosh Debnath is an academic researcher from Oakland University. The author has contributed to research in topics: Cloud computing & Intrusion detection system. The author has an hindex of 11, co-authored 41 publications receiving 357 citations. Previous affiliations of Debatosh Debnath include Kyushu Institute of Technology & University of Rochester.

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Journal ArticleDOI

Classification Approach for Intrusion Detection in Vehicle Systems

TL;DR: This paper presents machine learning techniques to cluster and classify the intrusions in VANET by KNN and SVM algorithms and presents intrusion detection technique which relies on the analysis of the offset ratio and time interval between the messages request and the response in the CAN.
Proceedings ArticleDOI

A heuristic algorithm to design AND-OR-EXOR three-level networks

TL;DR: This paper presents experimental results for a set of benchmark functions, and shows that EX-SOPs require many fewer products and literals than sum-of-products expressions, evidence that AND-OR-EXOR is a powerful architecture to realize many practical logic functions.
Proceedings ArticleDOI

Efficient computation of canonical form for Boolean matching in large libraries

TL;DR: An efficient technique for solving a Boolean matching problem in cell-library binding, where the number of cells in the library is large, and is more than two orders of magnitude faster than the Hinsberger-Kolla algorithm---the fastest Boolean matching algorithm for large libraries.
Proceedings ArticleDOI

Assistive Technology for Promoting Physical and Mental Exercise to Delay Progression of Cognitive Degeneration in Patients with Dementia

TL;DR: The paper focuses on creating an assistive technology system to promote both physical exercise and cognitive stimulation for patients suffering from Alzheimer's disease and other dementias that incorporates a portable mini stationary bike and an interactive visual multiple choice question game.