Fourth Industrial Revolution Application: Network Forensics Cloud Security Issues

Khan, Abdullah Ayub; Laghari, Asif Ali; Awan, Shafique Ahmed; Jumani, Awais Khan

doi:10.1002/9781119776529.ch2

Cited by 15 publications

(9 citation statements)

References 24 publications

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“…In addition, the cloud computing platform reduces the cost of services and also solves the problem of limited resources by sharing important resources among different users. Performance and resource reliability requires that the platform should be able to tackle the security threats [ 2 ]. In recent years, cloud computing has become one of the most important topics in security research.…”

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

View full text Add to dashboard Cite

show abstract

“…Any changes/updates that might happen in any of the block will result in a change in the hash value of the blocks. The consensus protocols check and updates whether all the block hash values are appropriate and are not altered for any unethical access ( Khan et al, 2021a ). This makes the blockchain very powerful and transparent in terms of security.…”

Section: Proposed Modelmentioning

confidence: 99%

“…Various federal organizations, institutes, government offices and agencies collaborate for transcript verification. It is expected that the end user must get meaningful educational transaction completed ( Khan et al, 2021a ). But cross-platform accomplishment for the existing blockchain-based system is expected to be achieved.…”

Section: Experimental Setup and Observationsmentioning

confidence: 99%

Developing a blockchain-based digitally secured model for the educational sector in Saudi Arabia toward digital transformation

Alangari

Alshahrani

Khan

et al. 2022

PeerJ Computer Science

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New universities and educational organizations are increasing in Saudi Arabia with the increase in the need for high-quality education. This increased the need for a fast transformation to digitise the educational system in Saudi Arabia, which is one of the important pillars of the Saudi Vision 2030. The students who study in these organizations suffer the verification of academic records and other educational documents. Students who want to study at universities abroad also face the challenge of academic records and certificates verification. A secure, fast, and transparent model is required in the education sector in order to verify academic certificates issued by various educational organizations. Blockchain technology can be used with high data security to empower the educational sector of Saudi Arabia in the digital transformation and to help the educational organizations in verifying academic documents. In order to avoid any document fraud and forgery, along with the ease of verification of academic records and educational documents for the students. This research focuses on developing a model which will be helpful in achieving digital transformation in academic document verification by blockchain technology.

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“…This measurable structure strongly connects distinct nodes, and makes an assessment according to the quality of the distributed network, using newly adapted tools and emerging practices. The range of the parameters of quality-of-experience is influenced by the QoS, which only depends on the elements of the distributed network [14,15]. Combining the elements of the network leads to event blocking, black-out, and blurriness, degrading the quality level during media streaming.…”

Section: Introductionmentioning

confidence: 99%

“…Combining the elements of the network leads to event blocking, black-out, and blurriness, degrading the quality level during media streaming. In this regard, health media regulatory and compliance managers are looking for an efficient and effective quality-of-experience, management, and controlling mechanism, which fulfills the requirements and expectations of patients, especially the elderly ones [15].…”

Section: Introductionmentioning

confidence: 99%

QoS-Ledger: Smart Contracts and Metaheuristic for Secure Quality-of-Service and Cost-Efficient Scheduling of Medical-Data Processing

et al. 2021

Self Cite

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Quality-of-service (QoS) is the term used to evaluate the overall performance of a service. In healthcare applications, efficient computation of QoS is one of the mandatory requirements during the processing of medical records through smart measurement methods. Medical services often involve the transmission of demanding information. Thus, there are stringent requirements for secure, intelligent, public-network quality-of-service. This paper contributes to three different aspects. First, we propose a novel metaheuristic approach for medical cost-efficient task schedules, where an intelligent scheduler manages the tasks, such as the rate of service schedule, and lists items utilized by users during the data processing and computation through the fog node. Second, the QoS efficient-computation algorithm, which effectively monitors performance according to the indicator (parameter) with the analysis mechanism of quality-of-experience (QoE), has been developed. Third, a framework of blockchain-distributed technology-enabled QoS (QoS-ledger) computation in healthcare applications is proposed in a permissionless public peer-to-peer (P2P) network, which stores medical processed information in a distributed ledger. We have designed and deployed smart contracts for secure medical-data transmission and processing in serverless peering networks and handled overall node-protected interactions and preserved logs in a blockchain distributed ledger. The simulation result shows that QoS is computed on the blockchain public network with transmission power = average of −10 to −17 dBm, jitter = 34 ms, delay = average of 87 to 95 ms, throughput = 185 bytes, duty cycle = 8%, route of delivery and response back variable. Thus, the proposed QoS-ledger is a potential candidate for the computation of quality-of-service that is not limited to e-healthcare distributed applications.

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Fourth Industrial Revolution Application: Network Forensics Cloud Security Issues

Cited by 15 publications

References 24 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)

Developing a blockchain-based digitally secured model for the educational sector in Saudi Arabia toward digital transformation

QoS-Ledger: Smart Contracts and Metaheuristic for Secure Quality-of-Service and Cost-Efficient Scheduling of Medical-Data Processing

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