Physical cyber-security algorithm for wireless sensor networks

Khudhur, Dhuha Dheyaa; Croock, Muayad Sadik

doi:10.12928/telkomnika.v19i4.18464

Cited by 5 publications

(4 citation statements)

References 24 publications

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“…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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“…The previous model has capabilities to sense, predict and prevent DoS attacks in the network. Meanwhile, the other model added encryption to the IDS database for better security by using a single communication channel to detect intrusions [13], [14].…”

Section: Introductionmentioning

confidence: 99%

A new approach of scalable traffic capture model with Pi cluster

Hartomo

Daru

Purnomo

2023

IJECE

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<span lang="EN-US">The development of the internet of things (IoT), which functions as servers, device monitors, and controllers of several peripherals inside the smart home, eased workload in many sectors. Most devices are accessible through the internet because they communicate with wired or wireless interfaces. However, this feature makes them prone to the risk of being exposed to the public. The exposed devices are an easy target for the third party to launch a flooding attack through the network. This attack overloads the system due to the low processing capability, thereby interrupting any running process and harming the device. Therefore, this study proposed a scalable network capturing model that utilized multiple Raspberry Pi boards in parallel to monitor the network traffics simultaneously. An isolated experiment was used for evaluation by running simultaneous flooding attacks on each device. The result showed that the model consumed 30.44% more memory with 14.66% lower central processing unit (CPU) usage and 3.63% faster execution time. This means that this model is better in terms of performance and effectiveness than the single capture model.</span>

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“…Watson and Crick's complementary DNA structure is used for DNA computing. Algebraic operations, such as DNA bases, DNA addition, DNA subtraction, and a DNA execlusive-or (XOR) function, are used to express biological characteristics [9]- [11].…”

Section: Introductionmentioning

confidence: 99%

A dynamic S-box generation based on a hybrid method of new chaotic system and DNA computing

2022

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S-box is one of the most significant structures used to construct encryption that is strong and resistant to attacks in encryption algorithms. The new 4D-hyper chaotic system and deoxyribonucleic acid (DNA) computing are used in this paper to provide a new dynamic S-box generating approach. The 4D generated numbers are processed to generate a hexadecimal number that will encode using the DNA coding method and using addition, subtraction, and exclusive-or operations to produce the final DNA string decoded to make the S-Box. The dynamic form of s-boxes is represented by a minor change in the initial conditions of the proposed chaotic method that will generate dynamic sequences of numbers. The proposed method enhances the security criteria of the block ciphers. The S-box testing criteria were done like strict avalanche, balanced, and bit independence criteria, in addition to differential approximation probability and linearity approximation probability, to test the security of the new S-Box. The results show that the new S-box has good security and is resistant to attacks.

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Physical cyber-security algorithm for wireless sensor networks

Cited by 5 publications

References 24 publications

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

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

A new approach of scalable traffic capture model with Pi cluster

A dynamic S-box generation based on a hybrid method of new chaotic system and DNA computing

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