A decade of research on patterns and architectures for IoT security

Rajmohan, Tanusan; Nguyen, Phu H.; Ferry, Nicolas

doi:10.1186/s42400-021-00104-7

Cited by 25 publications

(4 citation statements)

References 62 publications

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“…1) Database Search: Using online inquiry components of popular publication databases is the most notable approach to scan for papers [34]. This paper used some of the most popular publication databases, namely IEEE Xplore, Scopus, Web of Science, and ACM, to search for the papers related to the study.…”

Section: Search and Selection Strategymentioning

confidence: 99%

Cyberbullying in Text Content Detection: An Analytical Review

Azumah¹,

Elsayed²,

ElSayed³

et al. 2023

Preprint

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Technological advancements have resulted in an exponential increase in the use of online social networks (OSNs) worldwide. While online social networks provide a great communication medium, they also increase the user's exposure to life-threatening situations such as suicide, eating disorder, cybercrime, compulsive behavior, anxiety, and depression. To tackle the issue of cyberbullying, most existing literature focuses on developing approaches to identifying factors and understanding the textual factors associated with cyberbullying. While most of these approaches have brought great success in cyberbullying research, data availability needed to develop model detection remains a challenge in the research space. This paper conducts a comprehensive literature review to provide an understanding of cyberbullying detection.

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Section: Search and Selection Strategymentioning

confidence: 99%

Cyberbullying in Text Content Detection: An Analytical Review

Azumah¹,

Elsayed²,

ElSayed³

et al. 2023

Preprint

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“…IoT devices provide a wide accessible surface to attack [3]. So, IoT security is a big concern and IT engineers must focus not only on the functionality of the device but also on the protections of devices from security aspect [4].…”

Section: Iot Securitymentioning

confidence: 99%

IoT Security: Issues, the Best Practices and Open Challenges

Kolay,

Hiwarkar

2023

IJISE

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The Internet of Things (IoT) provides the facility to connect different devices and communicate and share information over the internet. The Internet of Things (IoT) has emerged as a transformative and pervasive technological paradigm, revolutionizing how we interact with our environment and infusing intelligence into everyday objects and devices. This interconnected ecosystem has unleashed a wave of innovative applications across diverse domains, including healthcare, transportation, agriculture, industrial automation, and smart cities. However, as the IoT footprint expands rapidly, it also brings to the forefront a multitude of complex and pressing security challenges that demand immediate attention and resolution. One of the primary security concerns in the IoT ecosystem is weak authentication and authorization mechanisms. Insufficient encryption measures can lead to data interception and manipulation, exposing confidential information to potential attackers. The lack of automated update mechanisms leaves numerous IoT devices susceptible to known exploits, necessitating the establishment of efficient update processes. With IoT devices deployed in the physical world, they become susceptible to tampering and theft, requiring robust physical security measures to safeguard their integrity. Standardization of security practices across the diverse IoT ecosystem is necessary to establish a unified and robust security framework. Security awareness and education are critical to empowering users and manufacturers to implement secure practices effectively. By comprehensively understanding and actively mitigating the key security issues, adopting best practices, and collaboratively addressing open challenges, we can forge a safer and more resilient IoT landscape that not only fosters innovation but also preserves user privacy and instills confidence in the trustworthiness of IoT technologies. This paper centers on addressing IoT security concerns and exploring the optimal practices to mitigate them. Finally, we point out open challenges as a scope of future research.

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“…Various IoT architectures [4] have been described in the literature, each with a distinct number of layers. IoT World Forum Conceptual Framework is used in our taxonomies of the IoT infrastructure.…”

Section: Iot Technology Iot Architecturementioning

confidence: 99%

Evaluation of the Cyber Security Risk Models (CSRM) in Cloud Computing

Anisi

2022

JMC

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Many devices in the Internet of Things (IoT) ecosystem may be susceptible to cyberattacks due to their diverse nature and lack of standardization. Resource-constrained IoT devices include sensor nodes, smart gadgets, and wearable devices. An organization's RAP (Risk Assessment Process) integrates the evaluation of hazards that are linked to all its resources, as well as the evaluation and prioritization of these risks. It is crucial to begin the risk management process with an accurate and thorough risk assessment. The Cyber Security Risk Models (CSRMs) in Cloud Computing are examined in this research. To understand the uniqueness of IoT systems and why present risk assessment methodologies for IoT are ineffective, it is necessary to understand the current state of risk assessment for IoT. There are constraints to periodic evaluations IoT due to device interoperability. Continuous testing of IoT solutions is thus essential.

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A decade of research on patterns and architectures for IoT security

Cited by 25 publications

References 62 publications

Cyberbullying in Text Content Detection: An Analytical Review

Cyberbullying in Text Content Detection: An Analytical Review

IoT Security: Issues, the Best Practices and Open Challenges

Evaluation of the Cyber Security Risk Models (CSRM) in Cloud Computing

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