The Rise of Rogue devices : How to Detect and Defend Against Them

By: Vanna karthik; Vel Tech University, Chennai, India

Abstract

The Internet of Things through its capabilities enables simple connections between various devices. Rogue devices arise as a notable security danger because of the interconnectivity of devices to the IoT. Unauthorized devices together with unauthorized devices pose security risks which allow network access through data theft and operational disturbances. This paper examines the increasing prevalence of rogue devices together with their security risks and established defense methods for detection and protection. The defense of IoT ecosystems starts from understanding attack methods and deploying powerful security systems which establishes network security.

Introduction

The vast increase in IoT devices now drives industrial transformation across sectors including healthcare manufacturing and residential and urban facilities. Rising usage of IoT devices exceeds the establishment of secure network security measures which produce new opportunities for cyberattacks. Rogue devices represent the most treacherous threat because unauthorized and compromised devices break into networks to cause destructive effects on them[1]. Threatening devices span from hidden hardware implants to apparently harmless IoT products that criminals have taken control of.

The primary risk of rogue devices occurs because they establish hiding positions within networks enabling them to escape detection[2]. Attackers gain access to internal systems after infiltration since devices enable data extraction and allow the launch of malicious actions and subsequent network penetrations. The article investigates rogue devices as well as their detection methods and protective strategies for organizations.

What Are Rogue Devices?

Unrecognized hardware or software elements which penetrate networks illegally qualify as rogue devices. The introduction of rogue devices can occur through different means which include:

Unauthorized IoT Devices : describe systems that enter corporate networks without following required approval processes including smart thermostats and cameras that employees deploy[3].

Compromised Devices : Attacks can form through devices whose owners lack proper security measures, so hackers succeed in breaking their devices to use them against genuine users[1].

Malicious Implants: Network operations face intentional hardware insertions for spying or disruption purposes from both inside and outside parties.

They use security protocol weaknesses and outdated firmware in addition to unpatched vulnerabilities to enter and take control of sensitive data and systems.

Figure : Rouge access point overview

The Risks of Rogue Devices

The integration of unapproved devices into a network system can trigger multiple severe effects on the network structure.

Data Breaches: Uncontrolled devices operate as interceptors which steal sensitive information encompassing customer-based records and intellectual property together with financial data[4].

Network Disruption : Rogue devices enable attackers to perform Distributed Denial of Service (DDoS) attacks which resulted in delayed services for the affected network[5].

Lateral movement : After penetrating the network rogue devices allow attackers to use them for attacking other systems by spreading malware or compromising existing infrastructure[6].

Reputation Damage : A security breach from an unauthorized device causes customers to lose confidence so an organization experience damaging effects on its reputation[6].

Detecting Rogue Devices

The detection of rogue devices demands organizations to monitor proactively along with superior detection equipment and well-informed staff. Here are some effective strategies

Network Traffic Analysis : System administrators should analyze network traffic patterns to uncover the abnormal behavior which reveals unauthorized devices. Intrusion detection systems (IDS) function as security tools to track down suspicious behavior online.

Device Inventory Management: Maintain an up-to-date inventory of all authorized devices on the network. Checking the network through regular audits will help identify unauthorized devices which need to be removed from the system.

Behavioral analytics : Machine learning analytics combined with artificial intelligence technology allows the detection of abnormal device conduct through evaluation of device behavior patterns. A device that unexpectedly sends large data amounts likely requires investigation due to potential tampering.

End point Security Solution : Network security depends on endpoint detection response tools to protect all network-connected devices. Physical network access needs to be restricted to block unknown hardware devices from connecting to any ports or endpoints.

Defending Against Rogue Devices

Securing a network from rogue device intrusion demands multiple security measures for prevention. Key strategies include:

Network Segmentation : Network Segmentation divides the network infrastructure into separate isolated segments which help stop rogue device movements as well as enable breach containment.

Strong Authentication : The network needs strong authentication through multi-factor authentication (MFA) together with advanced access controls that authorize proper devices and users to access.

Regular updates : Users should maintain all devices combined with software at their most recent security patch status to handle identified vulnerabilities.

Encryption and employment training : Data between devices should be encrypted to stop rogue devices from intercepting the information. The company must train staff in dangers associated with rogue devices together with fundamental security protocols that prohibit unauthorized network connections.

Zero Trust Architecture : Zero Trust Architecture demands users and devices need continuous authentication because they receive no trust privileges from the system at any time.

Conclusion

The increasing usage of unknown devices creates severe threats for both IoT security systems and operational stability. Growing device connectivity trends create parallel opportunities for attackers to exploit vulnerabilities because of this increase. Safety along with secure Internet of Things operations becomes possible through risk comprehension along with progressive detection techniques and proactive defensive measures for organizations to protect their networks from rogue devices.

References

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  2. R. Maayah, A. Abadleh, and E. Al-Subehat, “Analysis of RSS Patterns to Detect Rogue Access Points,” in 2022 International Conference on Emerging Trends in Computing and Engineering Applications (ETCEA), Nov. 2022, pp. 1–5. doi: 10.1109/ETCEA57049.2022.10009667.
  3. L. Kasowaki and M. Kingerberg, “Detection of Unauthorized IoT Devices Using Machine Learning Techniques”.
  4. Ph.D. Research Graduate, Department of Information Technology, University of the Cumberlands, USA and R. Vallabhaneni, “Effects of Data Breaches on Internet of Things (IoT) Devices within the Proliferation of Daily-Life Integrated Devices,” Eng. Technol. J., vol. 09, no. 07, Jul. 2024, doi: 10.47191/etj/v9i07.13.
  5. M. T. Hasan, M. R. Hossain, and A.-S. K. Pathan, “Protecting Regular and Social Network Users in a Wireless Network by Detecting Rogue Access Point: Limitations and Countermeasures,” in Securing Social Networks in Cyberspace, CRC Press, 2021.
  6. K. C. Patel and A. Patel, “Taxonomy and Future Threat of Rogue Access Point for Wireless Network,” in 2022 9th International Conference on Computing for Sustainable Global Development (INDIACom), Mar. 2022, pp. 679–688. doi: 10.23919/INDIACom54597.2022.9763150.
  7. M. Rahaman, S. S. Bakkireddygari, S. Chattopadhyay, A. L. Gomez, V. Arya, and S. Bansal, “Infrastructure and network security,” in Advances in information security, privacy, and ethics book series, 2024, pp. 108–144. doi: 10.4018/979-8-3693-3824-7.ch005.
  8. V. Vajrobol et al., “Identify spoofing attacks in Internet of Things (IoT) environments using machine learning algorithms,” Journal of High Speed Networks, Dec. 2024.
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  10. Bharath G. (2025) AI’s Role in Strengthening IoT Security, Insights2Techinfo, pp. 1

Cite As

Karthik V. (2025) The Rise of Rogue devices : How to Detect and Defend Against Them, Insights2techinfo pp.1

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