5 papers
DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs
Isaiah Thompson, Tanmay Sen, Ritwik Bhattacharya
Modern distributed systems generate massive volumes of log data that are critical for detecting anomalies and cyber threats. However, in real world settings, these logs are often d…
Bayesian Optimum Warranty Region for Right Censored Two Dimensional Dependent Data
Tanmay Sen, Rathin Das, Ritwik Bhattacharya
Warranty policies play a crucial role in balancing customer satisfaction and cost of the manufacturer. Traditional one-dimensional warranty frameworks, based solely on either age o…
Computation of Optimal Type-II Progressing Censoring Scheme Using Genetic Algorithm Approach
Ujjwal Roy, Ritwik Bhattacharya
The experimenter must perform a legitimate search in the entire set of feasible censoring schemes to identify the optimal type II progressive censoring scheme, when applied to a li…
LogTinyLLM: Tiny Large Language Models Based Contextual Log Anomaly Detection
Isaiah Thompson Ocansey, Ritwik Bhattacharya, Tanmay Sen
Log anomaly detection using traditional rule based or deep learning based methods is often challenging due to the large volume and highly complex nature of log sequence. So effecti…
Determination of Optimum Warranty Region for Two Dimensional Dependent Data
Rathin Das, Tanmay Sen, Ritwik Bhattacharya +1
This paper presents a method for determining the optimal two-dimensional warranty region for age and mileage scales across all possible combinations of free replacement warranty (F…