Portal de Periódicos da CAPES

An In-Depth Analysis of Contemporary Security Breaches using Time Series Analysis

2024; Atlantis Press; Linguagem: Inglês

10.2991/978-94-6463-471-6_68

2948-1961

A. Sree Rama Chandra Murthy, Muthyala Sravani, Gajaganti Ruthmani, Vegineti Umesh Chandra,

Information and Cyber Security

In the evolving cybersecurity landscape, security breaches have become a significant concern, leading to unauthorized disclosure of personal information.Hackers engage in illicit activities, fostering the trade of sensitive data on darkweb platforms like AlphaBay Market, Hansa, and Dream Market.To address this escalating threat, understanding the intricacies of security breaches is imperative.This project aims to unravel contemporary breach dynamics through a rigorous analytical approach.It involves scrutinizing breach types, identifying susceptible organizational sectors, and probing root causes.The investigation also quantifies compromise scales, assessing affected records and discerning patterns across different years.Employing Time-Series Analysis, specifically utilizing the Autoregressive Integrated Moving Average (ARIMA) model, the chosen methodology is rooted in proven forecasting accuracy, robust statistical foundation, and adaptability to diverse datasets.Within this project, ARIMA emerges as a superior choice, showcasing its significance and outperforming other regression models.The overarching objective of time series analysis is not only to decipher immediate breach implications but also to uncover behaviors, discern trends, and identify recurrent patterns.This analytical approach provides a proactive means for organizations to fortify defenses against evolving cybersecurity challenges in a rapidly changing digital landscape.