Work

The sweet taste of IoT deception: an adaptive honeypot framework for design and evaluation

Year: 2024

Type: article

Abstract: The rapid proliferation of Internet of Things (IoT) devices has introduced unprecedented security challenges for critical infrastructure systems. Honeypots and honeynets have emerged as promising deception technologies for detecting, deflecting, and investigating IoT-specific threats. In this paper, we propose an integrated framework for the design, implementation, and evaluation of adaptive honeypots in IoT environments. The framework consists of two key components: (1) an adaptive honeypot architecture that dynamically adjusts its behaviour based on observed attack patterns and (2) an evaluation methodology with quantitative metrics to assess the effectiveness of IoT honeypots. We discuss the current usage and future potential of this integrated framework in the context of critical infrastructure protection, highlighting challenges and opportunities for collaborative defence against evolving cyber threats.

Source: Journal of Edge Computing

DOI: 10.55056/jec.607

Authors: Dmytro S. Morozov, Andrii A. Yefimenko, Tetiana M. Nikitchuk, Roman O. Kolomiiets, Serhiy O. Semerikov

Institutions: Zhytomyr Polytechnic State University, Kryvyi Rih State Pedagogical University

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4404600696

FWCI: 2.355

Cites: 35

Cited by: 14

Related to: 10