Cryptography and Optimization-Driven Support Vector Neural Network to Mitigate DoS Attacks in E-Commerce

Shaikh, Javed; Beniwal, Ravinder; Iliev, Georgi

doi:10.1007/978-981-13-6772-4_48

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…An overview can be provided of the principles and cloud variations and the professionals and downsides of e-commerce cloud technology. They analyze the advantages and difficulties of cloud technology and its uses in e-government and e-commerce [19]. The cloud services principles are given based on the business problem and the consequences for the e-commerce market.…”

Section: Background To the E-commerce Systemsmentioning

confidence: 99%

Cloud Computing based E-commerce Management Ontransaction Security Concepts

Chi

Sui

Alazab

et al. 2021

Preprint

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The way e-commerce companies do commerce is transformed by cloud computing. Although the usage of cloud technology in e-commerce has grown suddenly, the advantages of cloud services platforms have not yet been exploited, especially for e-commerce applications. For decision-makers, it is vital that the optimized cloud-based computing solution like software as a service (SaaS), platform as a service (PaaS), or infrastructure as a service(IaaS) model is adopted as a multi-criteria decision-making (MCDM) issue and is thus dependent on a trustworthy and secured online shop. A new Cloud computing-based E-Commerce Management (CCECM) approach is provided to tackle the MCDM issue, a multiple-criteria group approach based on an ordering preference strategy by an idealized solution,and relying on the structure for a list of requirements. A small-to-medium firm uses the suggested system to ease the assessment and decision-making of the aspects connected with cloud e-commerce with security.The results show that small and moderate-sized e-commerce companies have higher secured and efficient communication. SaaS is asuitable alternative for difficulty, dependability, safety and protection, organizational preparedness, and corporate size. At the same time, adaptability and scaling can be enhanced in the choosing of PaaS or IaaS.

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Section: Background To the E-commerce Systemsmentioning

confidence: 99%

Cloud Computing based E-commerce Management Ontransaction Security Concepts

Chi

Sui

Alazab

et al. 2021

Preprint

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“…In this heterogeneous environment, unfair ratings are the fundamental problem because an entity in an e-commerce system computes trust based on the ratings from other entities, of which it cannot control the honesty. The assessed trust value is misleading if false ratings from other entities are taken into the trust computation (Shaikh et al, 2019). In neighbours trust schemes, an agent may demand for an acknowledgement from its subsequent neighbours to verify the reception of the packets or represent the methods that check whether agent is malicious one or well behaved based on consideration of its trustworthiness, which is calculated through several clarifications of its activities by the neighbours (Araghi et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

An incorporated RUU model for multi-agent systems in e-commerce

Majd

Hobson

2020

JEIM

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PurposeThe purpose of this paper is to enhance trust in e-commerce multi-agent systems by presenting a model, called RUU, to select the most trustworthy provider agent based on learning from previous interactions and computing reliability, unreliability and uncertainty.Design/methodology/approachThe methodology comprises analyzing the most representative existing trust models, while a new concept was proposed and measured as unreliability. To make decision about the agents, RUU integrated reliability, unreliability and uncertainty components and used the TOPSIS multi-criteria decision method to select the most trustworthy provider agent. To evaluate the RUU model, the experimentation was carried out in two stages. First, the average accuracy of the model was investigated by simulating RUU in a multi-agent environment. Second, the performance of the model was compared with other related trust models.FindingsThe experimental results revealed that RUU model outperforms current models in providing accurate credibility measurements and computing an accurate trust mechanism for agents, also presenting a decision-making process to choose the most trustworthy provider agent.Research limitations/implicationsThe model presented based on different mathematical computations that take time to be calculated, which is a big limitation of computational models.Practical implicationsRUU enables an agent to make effective and sound decisions in light of the uncertainty that exists in e-commerce multi-agent environments.Originality/valueThis paper is beneficial to enhance the fulfilment of purchasing between provider and requester agents. In fact, the proposed model can ensure critical transactions performed securely in e-commerce multi-agent environments.

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