The DAG blockchain: A secure edge assisted honeypot for attack detection and multi-controller based load balancing in SDN 5G

Abdulqadder, Ihsan H.; Zou, Deqing; Aziz, Israa T.

doi:10.1016/j.future.2022.11.008

Cited by 17 publications

(9 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many people want quicker internet, better data services, and better user experiences. Telecommunications companies have been encouraged by this consumer demand to invest in 5G networks to fulfill their customers' rising expectations 8 .…”

Section: Introductionmentioning

confidence: 99%

Effect of social influence, environmental awareness, and safety affordance on actual use of 5G technologies among Chinese students

Shahzad,

Xu,

Khan

et al. 2023

Sci Rep

View full text Add to dashboard Cite

Abstract5G technology continues to evolve, and its potential to revolutionize various aspects of society is becoming increasingly evident. However, the successful adoption and utilization of 5G technology depends on various factors, particularly among consumers expected to be early adopters and critical drivers of technological advancements. This study investigates the effect of social influence, environmental awareness, and safety affordance on Chinese university students' actual use of 5G (AU5G) technologies. It also analyzed the mediating role of trustworthiness and intention to use 5G (ITU5G) between them and the moderating role of facilitation conditions between trustworthiness and ITU5G. Data was collected from university students (n = 364) in Beijing and was examined employing the structural equation modelling (SEM) approach. The outcomes confirm that trustworthiness and ITU5G significantly mediate the relationship between social influence, environmental awareness, and safety affordance on AU5G technologies among Chinese students. Further, the supportive facilitation conditions strengthen the relationship between trustworthiness and ITU5G. These findings are backed by UTAUT2 models that support the technology acceptance and adoption among the users. The study outcomes can help policymakers design strategies to address potential barriers and encourage greater uptake of 5G services among university students.

show abstract

Section: Introductionmentioning

confidence: 99%

Effect of social influence, environmental awareness, and safety affordance on actual use of 5G technologies among Chinese students

Shahzad,

Xu,

Khan

et al. 2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…A honey badger algorithm (HB) is a robust optimisation technique that was introduced by Hashim et al in 2022 [23]. It has been applied to various real-world applications, such as optimal load balancing in wireless 5G [24], parameter estimation of photovoltaic systems [25], minimisation of voltage deviation in an AMG [26], and parameter identification of the Hammerstein-Wiener model [27]. In this study, the HB algorithm, based on the MBFS method described in [22], is developed to detect the appropriate size and placement of droop-controlled DDGs in the AMG 33-bus system.…”

Section: Introductionmentioning

confidence: 99%

Optimal size and location of dispatchable distributed generators in an autonomous microgrid using Honey Badger algorithm

2024

Archives of Electrical Engineering

View full text Add to dashboard Cite

The paper presents a honey badger algorithm (HB) based on a modified backwardforward sweep power flow method to determine the optimal placement of droop-controlled dispatchable distributed generations (DDG) corresponding to their sizes in an autonomous microgrid (AMG). The objectives are to minimise active power loss while considering the reduction of reactive power loss and total bus voltage deviation, and the maximisation of the voltage stability index. The proposed HB algorithm has been tested on a modified IEEE 33-bus AMG under four scenarios of the load profile at 40%, 60%, 80%, and 100% of the rated load. The analysis of the results indicates that Scenario 4, where the HB algorithm is used to optimise droop gains, the positioning of DDGs, and their reference voltage magnitudes within a permissible range, is more effective in mitigating transmission line losses than the other scenarios. Specifically, the active and reactive power losses in Scenario 4 with the HB algorithm are only 0.184% and 0.271% of the total investigated load demands, respectively. Compared to the base scenario (rated load), Scenario 4 using the HB algorithm also reduces active and reactive power losses by 41.86% and 31.54%, respectively. Furthermore, the proposed HB algorithm outperforms the differential evolution algorithm when comparing power losses for scenarios at the total investigated load and the rated load. The results obtained demonstrate that the proposed algorithm is effective in reducing power losses for the problem of optimal placement and size of DDGs in the AMG.

show abstract

“…The blocks of data spread are protected by employing cryptographical models. After a novel block is combined into the chain, it is highly thought that the novel block can able to cooperate with all other blocks in the chain [7]. Proof of Work (PoW) is an effective method that is mainly employed for merging blocks by adding a hash function in the present block and then piting it.…”

Section: Introductionmentioning

confidence: 99%

A Decentralized Approach to Smart Home Security: Blockchain With Red-Tailed Hawk-Enabled Deep Learning

Alruwaili,

Alohali,

Aljaffan

et al. 2024

IEEE Access

View full text Add to dashboard Cite

The fast development of smart home devices and the Internet of Things (IoTs) presents unprecedented accessibility into our day-to-day lives; however, it has also increased major problems regarding security and privacy. A smart home network is a vital element of modern home automation systems, enabling the interconnectivity and control of different smart devices. These networks allow homeowners to remotely control lighting, security, temperature, and entertainment systems via voice commands or smartphones. These offer energy efficiency, convenience, and improved security by permitting residents to monitor and modify their living surroundings. Safeguarding the flexibility of smart home networks against cyberattacks and unauthorized access is important to comprehending the maximum ability of smart living while retaining data integrity and privacy of connected devices. This research develops the Blockchain with Red-Tailed Hawk Algorithm-Enabled Deep Learning (BC-RTHADL) model, aimed to strengthen the safety of smart home systems. BC-RTHADL integrates the safety features of blockchain with a strong malicious action recognition procedure. The blockchain module certifies immutability, transparency, and decentralization, donating to a safe smart home atmosphere. The malicious action detection influences the Red-Tailed Hawk Algorithm for feature selection and an ensemble of Extreme Learning Machine (ELM), Gated Recurrent Unit (GRU), and Long Short-Term Memory (LSTM) techniques for precise recognition. The Equilibrium Optimizer algorithm enhances parameters for improved effectiveness. Complete tests show the greater performance of BC-RTHADL across numerous metrics, reaffirming its promising potential in safeguarding smart home networks.

show abstract

The DAG blockchain: A secure edge assisted honeypot for attack detection and multi-controller based load balancing in SDN 5G

Cited by 17 publications

References 39 publications

Effect of social influence, environmental awareness, and safety affordance on actual use of 5G technologies among Chinese students

Effect of social influence, environmental awareness, and safety affordance on actual use of 5G technologies among Chinese students

Optimal size and location of dispatchable distributed generators in an autonomous microgrid using Honey Badger algorithm

A Decentralized Approach to Smart Home Security: Blockchain With Red-Tailed Hawk-Enabled Deep Learning

Contact Info

Product

Resources

About