Role of internet of things in protecting different wearable gadgets and materials

Prasant, P; Bhardwaj, Shashank; Gupta, Monisha; Srivastava, Mahima; Singh, Jitendra; Maurya, Rajesh Kumar

doi:10.1016/j.matpr.2021.10.332

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…The rise in Internet-connected devices necessitates attention to network administration duties such as device administration, tracking traffic, and cybersecurity. Prasant et al predict that there will be 50 billion gadgets linked to the Internet, with each person owning around seven gadgets [6]. The rapid advancement of IoT technology is leading to an increased amount of IoT data being transferred via networks and the Internet, making it increasingly vulnerable to cyber security assaults.…”

Section: Background and Analysismentioning

confidence: 99%

Implementation of a multi-stage intrusion detection systems framework for strengthening security on the internet of things

Rani,

Parasa,

Hemanand

et al. 2024

MATEC Web Conf.

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The Internet of Things (IoT) expansion has introduced a new era of interconnectedness and creativity inside households. Various independent gadgets are now controlled from a distance, enhancing efficiency and organization. This results in increased security risks. Competing vendors rapidly develop and release novel connected devices, often paying attention to security concerns. As a result, there is a growing number of assaults against smart gadgets, posing risks to users' privacy and physical safety. The many technologies used in IoT complicate efforts to provide security measures for smart devices. Most intrusion detection methods created for such platforms rely on monitoring network activities. On multiple platforms, intrusions are challenging to detect accurately and consistently via network traces. This research provides a Multi-Stage Intrusion Detection System (MS-IDS) for intrusion detection that operates on the host level. The study employs personal space and kernel space data and Machine Learning (ML) methods to identify different types of intrusions in electronic devices. The proposed MS-IDS utilizes tracing methods that automatically record device activity, convert this data into numerical arrays to train multiple ML methods, and trigger warnings upon detecting an incursion. The research used several ML methods to enhance the ability to see with little impact on the monitoring devices. The study evaluated the MS-IDS approach in a practical home automation system under genuine security risks.

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Section: Background and Analysismentioning

confidence: 99%

Implementation of a multi-stage intrusion detection systems framework for strengthening security on the internet of things

Rani,

Parasa,

Hemanand

et al. 2024

MATEC Web Conf.

View full text Add to dashboard Cite

show abstract

“…IoT is employed by automobile owners to remotely operate their cars, like preheating the car before the driving force gets in it or hailing a car through a phone [25]. Due to IoT's ability to enable device-to-device communication, cars will soon be able to schedule their own service appointments.…”

Section: Background Of the Internet Of Ingsmentioning

confidence: 99%

Promoting Information Privacy Protection Awareness for Internet of Things (IoT)

Mugariri

Abdullah

García-Torres

et al. 2022

Mobile Information Systems

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e Internet of ings (IoT) has had a considerable in uence on our daily lives by enabling enhanced connection of devices, systems, and services that extends beyond machine-to-machine interactions and encompasses a wide range of protocols, domains, and applications. However, despite privacy concerns shown by IoT users, little has been done to reduce and protect individual information exposure. It is extremely di cult to mitigate IoT devices from reidenti cation threats which is why it is still a major challenge for IoTusers to securely protect their information. e trust controls how we regulate privacy in our IoT platforms in the same way that it governs personal relationships. As IoT devices become increasingly linked, more data is shared across individuals, businesses, governments, and ecosystems. Technologies, sensors, machines, data, and cloud connections all rely largely on trust relationships that have been formed. With the rapid growth of additional types of IoT devices that are being introduced, it, therefore, expands privacy concerns and is di cult to develop trust with an IoT system or device without the option to regulate information privacy settings. Privacy has always been a barrier for many devices as they race for the early adoption of IoT technologies. Several Internet of ings devices or systems will continue to pose privacy threats. As a result, the main objective of this study was to examine the individual understanding of privacy and to promote information privacy protection awareness not only to IoT users but also to organizations that use IoT devices or platforms to run their day-to-day business operations. Furthermore, the objective extends to compare user knowledge and concerns about IoT privacy, as well as to identify any common attitudes and variances. However, in terms of enhancing individuals' knowledge, an artifact was developed to educate and enhance information privacy awareness among IoT users. A pre-and postquestionnaire was generated to test and validate user knowledge regarding information privacy protection in IoT. e study was conducted using a quantitative research method. Findings indicate that IoT users' awareness of information privacy protection turned out to be average, suggesting a need for education and awareness. Several participants stated that information privacy protection awareness is required within the community to educate, raise awareness, eliminate human error, and enable individuals to be conscious of their privacy when sur ng the Internet.

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Role of internet of things in protecting different wearable gadgets and materials

Cited by 2 publications

References 15 publications

Implementation of a multi-stage intrusion detection systems framework for strengthening security on the internet of things

Implementation of a multi-stage intrusion detection systems framework for strengthening security on the internet of things

Promoting Information Privacy Protection Awareness for Internet of Things (IoT)

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