Securing the IoT gateway based on the hardware implementation of a multi pattern search algorithm

Stanciu, Alexandra; Bălan, Titus; Gerigan, Carmen; Zamfir, Sorin

doi:10.1109/optim.2017.7975101

Cited by 10 publications

(4 citation statements)

References 6 publications

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“…an important strategy that needs to be kept in mind while installing the IoT devices [37]. Only the necessary interfaces and protocols should be implemented by an IoT gateway manufacturer.…”

Section: Extra Interfaces: Minimizing the Attack Surface Ismentioning

confidence: 99%

A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures

et al. 2019

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The Internet of Things (IoT) is the next era of communication. Using the IoT, physical objects can be empowered to create, receive, and exchange data in a seamless manner. Various IoT applications focus on automating different tasks and are trying to empower the inanimate physical objects to act without any human intervention. The existing and upcoming IoT applications are highly promising to increase the level of comfort, efficiency, and automation for the users. To be able to implement such a world in an evergrowing fashion requires high security, privacy, authentication, and recovery from attacks. In this regard, it is imperative to make the required changes in the architecture of the IoT applications for achieving end-to-end secure IoT environments. In this paper, a detailed review of the security-related challenges and sources of threat in the IoT applications is presented. After discussing the security issues, various emerging and existing technologies focused on achieving a high degree of trust in the IoT applications are discussed. Four different technologies, blockchain, fog computing, edge computing, and machine learning, to increase the level of security in IoT are discussed. INDEX TERMS Internet of Things (IoT), IoT security, blockchain, fog computing, edge computing, machine learning, IoT applications, distributed systems.

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Section: Extra Interfaces: Minimizing the Attack Surface Ismentioning

confidence: 99%

A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures

et al. 2019

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“…(iii) Extra Interfaces: Installing IoT devices while keeping an eye on the attack surface is a critical technique [329]. IoT gateway manufacturers should only implement the protocols and interfaces that are strictly essential.…”

Section: Gateways and Its Securitymentioning

confidence: 99%

Machine and Deep Learning for IoT Security and Privacy: Applications, Challenges, and Future Directions

Bharati

Podder

2022

Security and Communication Networks

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The integration of the Internet of Things (IoT) connects a number of intelligent devices with minimum human interference that can interact with one another. IoT is rapidly emerging in the areas of computer science. However, new security problems are posed by the cross-cutting design of the multidisciplinary elements and IoT systems involved in deploying such schemes. Ineffective is the implementation of security protocols, i.e., authentication, encryption, application security, and access network for IoT systems and their essential weaknesses in security. Current security approaches can also be improved to protect the IoT environment effectively. In recent years, deep learning (DL)/machine learning (ML) has progressed significantly in various critical implementations. Therefore, DL/ML methods are essential to turn IoT system protection from simply enabling safe contact between IoT systems to intelligence systems in security. This review aims to include an extensive analysis of ML systems and state-of-the-art developments in DL methods to improve enhanced IoT device protection methods. On the other hand, various new insights in machine and deep learning for IoT securities illustrate how it could help future research. IoT protection risks relating to emerging or essential threats are identified, as well as future IoT device attacks and possible threats associated with each surface. We then carefully analyze DL and ML IoT protection approaches and present each approach’s benefits, possibilities, and weaknesses. This review discusses a number of potential challenges and limitations. The future works, recommendations, and suggestions of DL/ML in IoT security are also included.

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“…Minimizing the probability of attacks can be the only possible strategy in the security of IoT especially during the installation of new devices in the system [99]. If some of the services and functions are restricted for end-users, backdoor authentication and information breach can be reduced.…”

Section: ) Extra Interfacesmentioning

confidence: 99%

Security in Internet of Things: A Review

2022

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Internet of Things (IoT) is the paramount virtual network that enables remote users to access connected multimedia devices. It has dragged the attention of the community because it encompasses realworld scenarios with implicit environs. Despite several beneficial aspects, IoT is surrounded by provocations for successful implementation, as data travels in different layers. One of the critical challenges is the security of the data in these layers. Researchers conducted numerous studies focused on the level of security at a single technique, creating loopholes to address the entire scenario of securing an IoT network. This study aims to comprehensively review current security issues, wireless communication techniques, and technologies for securing IoT. This work's utmost significance is addressing all the security perspectives at a glance. For this purpose, research contributions from the previous years are investigated for better understanding. Some countermeasures and snags from security perspectives have also been analyzed in detail concerning the current industry trends. Blockchain, machine learning, fog, and edge computing are possible solutions to secure IoT. After studying these techniques and their immunity to attacks, machine learning can become a hope if incorporated with end-to-end security. This comprehensive review will provide adequate understanding and knowledge in defining security lines of action for the successful implementation of IoT.

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Securing the IoT gateway based on the hardware implementation of a multi pattern search algorithm

Cited by 10 publications

References 6 publications

A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures

A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures

Machine and Deep Learning for IoT Security and Privacy: Applications, Challenges, and Future Directions

Security in Internet of Things: A Review

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