An ADS-PAYG Approach Using Trust Factor Against Economic Denial of Sustainability Attacks in Cloud Storage

Karthika, A.; Muthukumaran, N.

doi:10.1007/s11277-021-08889-z

Cited by 49 publications

(7 citation statements)

References 15 publications

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“…The PAYG model gives users the ability to develop platforms, storage, and customize the software according to the needs of the end-user or client. These advantages are the reason that the research community has put so much effort into this modern concept [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

The Rise of Cloud Computing: Data Protection, Privacy, and Open Research Challenges—A Systematic Literature Review (SLR)

Hassan

Shehzad

Habib

et al. 2022

Computational Intelligence and Neuroscience

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Cloud computing is a long-standing dream of computing as a utility, where users can store their data remotely in the cloud to enjoy on-demand services and high-quality applications from a shared pool of configurable computing resources. Thus, the privacy and security of data are of utmost importance to all of its users regardless of the nature of the data being stored. In cloud computing environments, it is especially critical because data is stored in various locations, even around the world, and users do not have any physical access to their sensitive data. Therefore, we need certain data protection techniques to protect the sensitive data that is outsourced over the cloud. In this paper, we conduct a systematic literature review (SLR) to illustrate all the data protection techniques that protect sensitive data outsourced over cloud storage. Therefore, the main objective of this research is to synthesize, classify, and identify important studies in the field of study. Accordingly, an evidence-based approach is used in this study. Preliminary results are based on answers to four research questions. Out of 493 research articles, 52 studies were selected. 52 papers use different data protection techniques, which can be divided into two main categories, namely noncryptographic techniques and cryptographic techniques. Noncryptographic techniques consist of data splitting, data anonymization, and steganographic techniques, whereas cryptographic techniques consist of encryption, searchable encryption, homomorphic encryption, and signcryption. In this work, we compare all of these techniques in terms of data protection accuracy, overhead, and operations on masked data. Finally, we discuss the future research challenges facing the implementation of these techniques.

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Section: Introductionmentioning

confidence: 99%

The Rise of Cloud Computing: Data Protection, Privacy, and Open Research Challenges—A Systematic Literature Review (SLR)

Hassan

Shehzad

Habib

et al. 2022

Computational Intelligence and Neuroscience

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“…• ADS-PAYG: Karthika et al 84 presents a new technique called ADS-PAYG (Attack Defense Shell-Pay As You Go) using the trust factor method to combat EDoS attacks in CC. The ADS-PAYG system comprises three significant stages: cloud service data, load balance, and DDoS shield, aiming to tighten cloud service security.…”

Section: Levelmentioning

confidence: 99%

“…To identify source‐based and spoofing‐based attacks, EDOS‐TSM employs binomial probability, TTL field values from IP packet headers, and multiple TCP SYN requests. The model exhibits enhanced performance compared to existing techniques, with fewer false negatives and increased effectiveness in combating both source‐based and spoofing attacks, when implemented on an OpenStack production‐based cloud. ADS‐PAYG : Karthika et al 84 presents a new technique called ADS‐PAYG (Attack Defense Shell‐Pay As You Go) using the trust factor method to combat EDoS attacks in CC. The ADS‐PAYG system comprises three significant stages: cloud service data, load balance, and DDoS shield, aiming to tighten cloud service security.…”

Section: Defense Mechanism For Indirect Attackmentioning

confidence: 99%

Uncovering collateral damages and advanced defense strategies in cloud environments against DDoS attacks: A comprehensive review

Verma,

Bharot,

Breslin

et al. 2024

Trans Emerging Tel Tech

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Cloud computing (CC) offers on‐demand computing and resources to users, and organizations, and is also used in many human‐centric intelligent systems. Attacks in cloud networks cause huge damage to service providers and users. Distributed Denial of Service (DDoS) is one of them that greatly impacts the cloud network. The unavailability of resources is the major concern pertaining to cloud service and resources. Apart from the direct targets of a DDoS attack, there are also indirect effects on non‐targets within a cloud network. These effects on the non‐target stakeholders of the cloud are called collateral damages. However, this area of research is not explored much by researchers. Thus, the defense methods pertaining to direct and indirect effects need to be explored. This article aims to describe the consequences of DDoS attacks and the solutions available in the cloud network. The novelty of this article lies in shedding light on the indirect impacts of DDoS in cloud networks and possible solution approaches. The article also provides a comparative analysis of the existing defense solution under different categories and available tools and datasets to evaluate the proposed solutions. The article also mentions the solution considerations and effective solution scenarios. The idea behind this article is to impart guidelines to the researchers, for developing efficient defense solutions against direct target and indirect target DDoS attacks. Moreover, the research shortcomings, pros–cons, and existing challenges are outlined, and directions for future research are mentioned.

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“…Generally, when meeting the above common application technology requirements at the same time, it is necessary to realize the same part of the requirements of the two technologies of computing and storage, and expand the unified interface outward through the service mode, which can simplify the upper-level development. The main research direction of this paper is the storage cloud system that can ensure data security [5]. The content involves two important technologies: ciphertext retrieval technology and access control technology.…”

Section: Introductionmentioning

confidence: 99%

Big Data Sports Fitness Detection based on Cloud Storage-Oriented Data System

Xu¹

2023

Preprint

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Nowadays, there are more and more motor vehicles in cities, and with the deteriorating world environment and depletion of resources, low-carbon travel has become a new trend, and green fitness has become a link of sustainable and healthy development. Information data has increased rapidly, and the application of cloud storage has become more widespread. However, current cloud storage still has various problems, especially user information security issues. Therefore, in order to protect users' confidential information and data, information can be stored in the cloud in the form of cipher text. So if you want users to be able to retrieve the information they want in a large amount of data, you need to design a full-text ciphertext retrieval program. Another important function of cloud storage services is that each user can safely share data, which requires the existence of a safe and effective access control scheme. The current national fitness boom symbolizes that the people's pursuit of health is already a fashion, and outdoor hiking is a healthy, low-carbon and environmentally friendly fitness method. Walking in the city can not only promote the improvement of urban public facilities and the further optimization of the urban environment, but also promote the development of urban characteristic culture. Because hiking in the city has the dual effects of national fitness and environmental protection, it is very important for the rationalization and humanization of urban hiking. This paper selects and recognizes the open and shared city data, takes the path data of the hikers' movement as the research basis and research object, and organizes and analyzes the relevant data on the Google Earth data sharing platform.

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An ADS-PAYG Approach Using Trust Factor Against Economic Denial of Sustainability Attacks in Cloud Storage

Cited by 49 publications

References 15 publications

The Rise of Cloud Computing: Data Protection, Privacy, and Open Research Challenges—A Systematic Literature Review (SLR)

The Rise of Cloud Computing: Data Protection, Privacy, and Open Research Challenges—A Systematic Literature Review (SLR)

Uncovering collateral damages and advanced defense strategies in cloud environments against DDoS attacks: A comprehensive review

Big Data Sports Fitness Detection based on Cloud Storage-Oriented Data System

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