A java servlet based transaction broker for internet of things edge device communications

Yusoff, Zainatul Yushaniza Mohamed; Ishak, Mohamad Khairi; Rahim, Lukman Ab.

doi:10.11591/eei.v11i1.3455

Cited by 4 publications

(4 citation statements)

References 21 publications

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“…Because attacks that use viruses intelligently, a novel study of information security has been conducted [53]. Also, through the implementation of a safe and efficient communication proxy, Yusoff et al [54] addressed the problem of IoT traffic security. In addition, for the physical level of the WSN that uses the message queuing telemetry transport (MQTT) protocol for data transfer and networking, a cyber-security method is described by Khudhur and Croock [55] and Magzoub et al [56].…”

Section: Figure 2 Overview Of Grey Hole Attack [19]mentioning

confidence: 99%

Malicious attacks modelling: a prevention approach for ad hoc network security

Talib

Alothman

Mohammed

2023

IJEECS

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As a result of the expansions that have taken place in the field of networking and the increase in the number of users of networks, there have recently been breakthroughs made in the techniques and methods used for network security. In this paper, a virtual private network (VPN) is proposed as a means of providing the necessary level of security for particular connections that span across vast networks. After the network performance metrics such as time delay and throughput have been accomplished, the suggested VPN is recommended for the purpose of assuring network security. In addition, artificial intelligence attack predictors and virtual private networks have been implemented with the purpose of preventing harmful activity within such connections. Using a wide variety of machine learning methods like Random Forests and Nave Bays, malicious assaults of any kind can be identified and thwarted in their tracks. Another technique for anticipating attacks is the use of an artificial neural network, which is a type of system that engages in deep learning and learns the behaviors of attacks while it is being trained so that it can then predict attacks. The results of this study demonstrate that the use of machine learning and artificial intelligence techniques can significantly improve the security and performance of virtual private networks and can effectively identify and prevent malicious attacks on networks.

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Section: Figure 2 Overview Of Grey Hole Attack [19]mentioning

confidence: 99%

Malicious attacks modelling: a prevention approach for ad hoc network security

Talib

Alothman

Mohammed

2023

IJEECS

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“…Before transmission, data must be filtered and compressed to an ideal size. 3) Edge IT data processing [67], [94], [100], [109], [122], [133], [140], [168]- [170], [216], [220]- [223] Before reaching the cloud center, the digitized and aggregated IoT data is processed further. Edge devices do sophisticated analytics and preprocessing, which may include machine learning and visual representation.…”

Section: Architecture Stagesmentioning

confidence: 99%

“…One way that IoT edge computing may be used to protect humans is to automatically shut down machines when someone enters a prohibited area at a factory. Autonomous cars require data in order to make critical real-time decisions that might mean the difference between life and death on the road [24], [26], [67], [100], [109], [133], [145], [184], [186], [216], [220], [221], [267], [268], [293], [297], [335].…”

Section: Edge Computing: Low Latency and Securitymentioning

confidence: 99%

Insights on the internet of things: past, present, and future directions

Sutikno

Thalmann

2022

TELKOMNIKA

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The internet of things (IoT) is rapidly expanding and improving operations in a wide range of real-world applications, from consumer IoT and enterprise IoT to manufacturing and industrial IoT (IIoT). Consumer markets, wearable devices, healthcare, smart buildings, agriculture, and smart cities are just a few examples. This paper discusses the current state of the IoT ecosystem, its primary applications and benefits, important architectural stages, some of the problems and challenges it faces, and its future. This paper explains how an appropriate IoT architecture that saves data, analyzes it, and recommends corrective action improves the process's ground reality. The IoT system architecture is divided into three layers: device, gateway, and platform. This then cascades into the four stages of the IoT architectural layout: sensors and actuators; gateways and data acquisition systems; edge IT data processing; and datacenter and cloud, which use high-end apps to collect data, evaluate it, process it, and provide remedial solutions. This elegant combination provides excellent value in automatic action. In the future, IoT will continue to serve as the foundation for many technologies. Machine learning will become more popular in the coming years as IoT networks take center stage in a variety of industries.

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“…Zainatul et al [8] used a lightweight and secure communication proxy to solve the security problem of the Internet of things (IoT) traffic. (IoT) devices have increased the quantity of information generated in various formats [9].…”

Section: Introductionmentioning

confidence: 99%

Cryptography based on retina information

Alrifaee

Ismaeel

2022

IJEECS

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The security of message information has drawn more attention nowadays, so; cryptography has been used extensively. This research aims to generate secured cipher keys from retina information to increase the level of security. The proposed technique utilizes cryptography based on retina information. The main contribution is the original procedure used to generate three types of keys in one system from the retina vessel's end position and improve the technique of three systems, each with one key. The distances between the center of the diagonals of the retina image and the retina vessel's end (diagonal center-end (DCE)) represent the first key. The distances between the center of the radius of the retina and the retina vessel's end (radius center-end (RCE)) represent the second key. While the diagonal-radius center and the retina vessel's end (diagonal-radius center-end (DRCE)) represent the third key. The results illustrate the process's validity and applicability. Also, improve the time required to decrypt the cipher-text by a brute force attack (BFA) from (4.358e+139) year in the compared technique to (1.3074e+140) year for retina3. The BFA time will increase with increasing the number of retina vessels, as in retina1, 2, and 3, which have 24, 53, and 103 retina vessels.

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A java servlet based transaction broker for internet of things edge device communications

Cited by 4 publications

References 21 publications

Malicious attacks modelling: a prevention approach for ad hoc network security

Malicious attacks modelling: a prevention approach for ad hoc network security

Insights on the internet of things: past, present, and future directions

Cryptography based on retina information

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