Service selection mechanisms in the Internet of Things (IoT): a systematic and comprehensive study

The Internet of Things (IoT) is a revolutionary model, with rising wireless sensor network technology. In IoT network devices are connected and communicated with each other or with human. IoT is extremely available to security assaults. In recent years, the internet of things has a continuous support in research. In the upcoming scenario, IoT will play an important role and changes our day-to-day life, principles as well as industry models. In this paper we provide ensuring security of data exchange, IoT architecture and IoT Security architecture, applications, drawbacks of IoT. We study about various security issues, Problems, normal and Denial of service attacks in different layers, issues and research defy in IoT are also discussed.

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A Hybrid Service Selection and Composition Model for Cloud-Edge Computing in the Internet of Things

IEEE Access ◽

10.1109/access.2020.2992262 ◽

2020 ◽

Vol 8 ◽

pp. 85939-85949 ◽

Cited By ~ 4

Author(s):

Mehdi Hosseinzadeh ◽

Quan Thanh Tho ◽

Saqib Ali ◽

Amir Masoud Rahmani ◽

Alireza Souri ◽

...

Keyword(s):

Internet Of Things ◽

Service Selection ◽

Edge Computing ◽

The Internet ◽

The Internet Of Things

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Scalable and Self-Adaptive Service Selection Method for the Internet of Things

International Journal of Computer Applications ◽

10.5120/ijca2017914542 ◽

2017 ◽

Vol 167 (10) ◽

pp. 43-49 ◽

Cited By ~ 1

Author(s):

Manel Mejri ◽

Nadia Ben

Keyword(s):

Internet Of Things ◽

Service Selection ◽

Selection Method ◽

The Internet ◽

The Internet Of Things ◽

Self Adaptive

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A Privacy-sensitive Service Selection Method Based on Artificial Fish Swarm Algorithm in the Internet of Things

Mobile Networks and Applications ◽

10.1007/s11036-019-01488-0 ◽

2020 ◽

Cited By ~ 1

Author(s):

Bing Jia ◽

Lifei Hao ◽

Chuxuan Zhang ◽

Baoqi Huang

Keyword(s):

Internet Of Things ◽

Service Selection ◽

Selection Method ◽

The Internet ◽

Artificial Fish Swarm Algorithm ◽

Artificial Fish Swarm ◽

Swarm Algorithm ◽

The Internet Of Things

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ENERGY AWARE SECURITY ALGORITHM DECISION METHOD FOR INTERNET OF THINGS USING SSL/TLS FOR WIRELESS NETWORK

International Journal of Research -GRANTHAALAYAH ◽

10.29121/granthaalayah.v3.i12.2015.2880 ◽

2015 ◽

Vol 3 (12) ◽

pp. 1-8

Author(s):

Tae-Ho Cho

Keyword(s):

Internet Of Things ◽

Service Selection ◽

Transport Layer ◽

The Internet ◽

Energy Aware ◽

Transport Layer Security ◽

Security Service ◽

Security Algorithm ◽

Physical Objects ◽

The Internet Of Things

The Internet of Things (IoT) is an ever evolving infrastructure of physical objects and Internet-enabled devices and systems featuring IP addresses for connectivity. Physical objects consist of home appliances, electronic gadgets, machinery, healthcare items, wearable devices and anything that could be connected to the Internet. Each type of connection requires particular types of security service. Security algorithms in user devices are fixed by default and selected based on preferences. This limitation causes energy waste since a user might be using all services in an algorithm, even those the user does not need. In order to counter this problem, we propose an energy aware security service selection method that saves energy by selecting only particular types of security service required by a given connection. In this paper, we compared the energy consumption of each communication to provide integrity, authentication, and confidentiality in Secure Sockets Layer/Transport Layer Security (SSL/TLS) with our proposed method. The experimental results demonstrate the validity of our proposed method. Our proposed method saved 54.94% energy for integrity and 74.52% for authentication.

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MADS Based on DL Techniques on the Internet of Things (IoT): Survey

Electronics ◽

10.3390/electronics10212598 ◽

2021 ◽

Vol 10 (21) ◽

pp. 2598

Author(s):

Hussah Talal ◽

Rachid Zagrouba

Keyword(s):

Internet Of Things ◽

Intrusion Detection Systems ◽

The Internet ◽

Detection Systems ◽

Iot Applications ◽

New Generation ◽

The Internet Of Things ◽

Great Development ◽

Comprehensive Study

Technologically speaking, humanity lives in an age of evolution, prosperity, and great development, as a new generation of the Internet has emerged; it is the Internet of Things (IoT) which controls all aspects of lives, from the different devices of the home to the large industries. Despite the tremendous benefits offered by IoT, still there are some challenges regarding privacy and information security. The traditional techniques used in Malware Anomaly Detection Systems (MADS) could not give us as robust protection as we need in IoT environments. Therefore, it needed to be replaced with Deep Learning (DL) techniques to improve the MADS and provide the intelligence solutions to protect against malware, attacks, and intrusions, in order to preserve the privacy of users and increase their confidence in and dependence on IoT systems. This research presents a comprehensive study on security solutions in IoT applications, Intrusion Detection Systems (IDS), Malware Detection Systems (MDS), and the role of artificial intelligent (AI) in improving security in IoT.

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