Defensive Algorithms: Cybersecurity for Robotics Process Automation Algorithms

EasyChair Preprint 11353

Abstract

With the growing integration of Robotic Process Automation (RPA) in various industries, the vulnerabilities associated with these automated processes have become a significant concern. The utilization of RPA algorithms introduces a new attack surface for cyber threats, necessitating the development and implementation of defensive algorithms tailored specifically for cybersecurity within the realm of RPA. This paper explores the landscape of defensive algorithms designed to fortify RPA systems against potential cyber threats. The study investigates the methodologies employed in the creation of defensive algorithms aimed at mitigating these vulnerabilities. Key aspects covered in this study include the utilization of encryption techniques to safeguard sensitive data handled by RPAs, the implementation of access control mechanisms to prevent unauthorized entry, and the integration of anomaly detection systems to identify and respond to irregular activities within RPA workflows. Additionally, this paper addresses the incorporation of machine learning and AI-driven solutions to adaptively fortify RPA systems against evolving cyber threats. Ultimately, this research contributes to the burgeoning field of RPA cybersecurity by providing insights into the development and deployment of defensive algorithms tailored to fortify automated processes, ensuring the resilience and security of RPA ecosystems in an increasingly digital and interconnected world.

Keyphrases: Cyber Defense Strategies, Cybersecurity, Robotic Process Automation

@booklet{EasyChair:11353,
  author    = {Lee Kasowaki and Berkan Atiye},
  title     = {Defensive Algorithms: Cybersecurity for Robotics Process Automation Algorithms},
  howpublished = {EasyChair Preprint 11353},
  year      = {EasyChair, 2023}}