A Review on Internet of Things - Protocols, Issues

Sattar, Mohd. Abdul; Anwaruddin, Mohammed; Ali, Mohd Anas

doi:10.17148/ijireeice.2017.5217

Cited by 4 publications

(2 citation statements)

References 6 publications

(1 reference statement)

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“…As an example of implementation of calculus models inspired by nature can be the IoT (Internet of Things) technology [3]. The IoT concept is used to define systems based on autonomous communication of a set of physical objects (sensors, devices for storing and processing date and actuators), with auto-adaptation and auto-organization capacities.…”

Section: Introductionmentioning

confidence: 99%

Decision Making System based on Collaborative Agents

Turcan¹,

Borozan²,

Ababii³

et al. 2022

Proceedings of the 12th International Conference on “Electronics, Communications and Computing"

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In this paper are presented the results of research done in the system projecting and research for making informed decisions based on the collaborative Agents. The mathematical model used in this research had the goal to find an optimal solution in a multi-objective space by using methods inspired by nature, especially evolutional calculus algorithms. The calculus system’s architecture consists of two sets of Agents: agents that deliver data and information, and Agents that consume it. The interconnection process between Agents is a dynamic one which evolves in time and it determines the topology of the calculus system.

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Section: Introductionmentioning

confidence: 99%

Decision Making System based on Collaborative Agents

Turcan¹,

Borozan²,

Ababii³

et al. 2022

Proceedings of the 12th International Conference on “Electronics, Communications and Computing"

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“…On the subject of security of the IoT, there are many open problems such as the botnet, distributed denial-of-service (DDoS) attacks, cryptographic algorithms, access control, authentication protocols, and governance frameworks. Few studies have focused on issues on communication methods such as the wireless local area network (WLAN) or radio-frequency identification (RFID), comprehensive cryptographic mechanisms such as key management, and useful applications such as supply chain management and multimedia traffic [4].…”

Section: Introductionmentioning

confidence: 99%

Using Ensemble Learning Technique for Detecting Botnet on IoT

Rezaei

2021

SN COMPUT. SCI.

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Despite the growing reputation and the ubiquitous nature of the IoT, it poses significant challenges as it is also considered a convenient platform for cyberattacks. The connection of various devices without fixed security help attackers in allowing botnet to run high crash DDoS attacks against a range of internet services. The botnet is one of the main security challenges that have the most impact on IoT for several reasons. It allows the private network devices to be infected by malicious software and controlled as a group without the owners' awareness. Botnets are often utilized for sending spam, stealing data, and performing DDoS attacks. As there are many areas of security that utilize machine learning (ML) technology, utilizing ML to detect botnet appears to be realistic and workable. While several studies have been conducted using ML for detecting botnet, they are either not highly accurate or only compatible with specific types of botnet or devices. This study aims to create an ensemble learning model using the best ML methods among supervised learning, unsupervised learning, and regression learning to optimize the accuracy of botnet detection on IoT and minimize the number of features requested. After several examinations in different combinations of ML algorithms, this study managed to achieve 100% accuracy of botnet detection as well as minimizing the number of features to only 20.

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