Home // IARIA Congress 2024, The 2024 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications // View article

Identifying the Invisible: A Comprehensive Approach to Distinguishing Software Bots

Authors:
Zhixiong Chen
Deming Chen

Keywords: Software Bot, Identification, Invariant, Registrar, Verifiable Credentials, Portfolio Artifacts.

Abstract:
In the evolving digital landscape, software bots have emerged as autonomous agents capable of engaging in complex interactions within computer-mediated environments, predominantly across the internet. This research paper delves into the unique features and characteristics of software bots, proposing a sophisticated framework for their identification and registration. These captured features are certainly different from those for human users. Central to our approach is the development of a holistic identification model that treats software bots as integral components of social-technological ecosystems. By adopting a comprehensive methodology that includes the construction of portfolio artifacts, we aim to encapsulate both invariant identification characteristics and dynamic, verifiable credentials of software bots. These artifacts serve not only as a means of distinction but also as a basis for ensuring security and authenticity in interactions involving them. Our work underscores the importance of a nuanced understanding of software bots, advocating for a system that recognizes their potential while safeguarding against misuse. Through a meticulous analysis of bot behavior and interaction patterns, we contribute to the establishment of a more secure, transparent, and efficient digital environment where software bots and human users coexist harmoniously.

Pages: 140 to 145

Copyright: Copyright (c) IARIA, 2024

Publication date: June 30, 2024

Published in: conference

ISBN: 978-1-68558-180-0

Location: Porto, Portugal

Dates: from June 30, 2024 to July 4, 2024