An IoT-Centric Data Protection Method for Preserving Security and Privacy in Cloud

Gupta, Rishabh; Gupta, Ishu; Singh, Ashutosh Kumar; Saxena, Deepika; Lee, Chung-Nan

doi:10.1109/jsyst.2022.3218894

Cited by 24 publications

(6 citation statements)

References 28 publications

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“…Thus, for enhanced security and resilience against technical recording failures, storing a copy of video footage in the cloud and an additional copy on the local VMS is preferable. However, storing videos on the cloud may compromise users' privacy [3,4]. Many existing cloud-based video footage storage techniques secure data only in transit but not while stored on the cloud [5].…”

Section: Introductionmentioning

confidence: 99%

A Privacy-Preserving Surveillance Video Sharing Scheme: Storage, Authentication, and Joint Retrieval

Jabbari,

Fung

2024

Preprint

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Today, video surveillance systems are widely used to oversee and enhance home and premises security. For convenience and security, users often upload surveillance footage to the cloud, which can be accessed by trusted users during emergencies. However, given the sensitive nature of this data, users might be wary of trusting cloud services with user authentication and video access. Thus, managing video access control and user authentication with limited trust in cloud services presents a significant challenge. In this paper, we propose a privacy-preserving and secure scheme for storing and sharing video footage on the cloud. Homeowners can incorporate their trusted individuals into the system, thereby granting them access to view cloud-stored videos. Even in an emergency, these trusted users can collaborate to retrieve videos securely from the cloud. Our scheme allows homeowners to authenticate users and track video access without relying on cloud services. Our analysis by conducting formal proof using the Real-Or-Random (ROR) model indicates that the proposed scheme is secure. Additionally, we confirm its security and authenticity through Proverif, a formal verification tool. Informal security assessments further demonstrate its resilience against various attacks. Additionally, our communication and computational cost assessments show that our scheme is an effective and acceptable solution.

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Section: Introductionmentioning

confidence: 99%

A Privacy-Preserving Surveillance Video Sharing Scheme: Storage, Authentication, and Joint Retrieval

Jabbari,

Fung

2024

Preprint

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“…It facilitates numerous advantages such as high availability, service reliability, resource elasticity, and freedom from maintenance cost at least upfront investment. Cloud computing provides a support as a IT infrastructure with pay-as-per-use model and computational backbone to the business enterprises, academic and research organisations [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. The users workload requests or applications are processed on different virtual machines satisfying resource availability constraints hosted on different severs within the datacentre [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37].…”

Section: Introductionmentioning

confidence: 99%

A Review on Secure Cloud Resource Management

Chhabra¹,

Saxena²,

Rekha³

2023

Preprint

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<p>Security is always a prime concern of every cloud user. Many pioneer surveys have been done concerning security during data communication among owners, users, and stakeholders. However, there is a lack of literature surveys that address the concern of security during data processing or the workload execution within cloud data centers. In this context, we present a concise review of the existing methods that have addressed the security of workload or user data during load scheduling and execution within cloud environments. These methods have applied load-balancing strategies that helped to minimize the security attacks via co-residency or covert channels. The pandect comparative summary of these methods follows the corresponding review. The paper is concluded with limitations and future direction concerning secure load management.</p>

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“…Cloud computing has proven to be cost-effective, reliable, and scalable computing service choice for delivering and providing software solutions for various industrial applications [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. To take advantage of on-demand, elastic, and scalable resource provisioning, many companies have migrated to cloud data centers (CDCs) to save capital investment and keep their infrastructure in-house.…”

Section: Introductionmentioning

confidence: 99%

A Review on Sustainable Resource Management in Cloud Environment

Kumar¹,

Saxena²,

Rekha³

2023

Preprint

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<p>Cloud computing (CC) has become the best way to manage a large-scale computing paradigm. Resource management (RM) in the cloud environment is critical due to the heterogeneity of computing resource types and their inter-dependencies. Recently, significant research has been done on RM techniques focusing on efficiently sharing resources among multiple users. Machine learning techniques manage various resource management functions, such as VM consolidation, resource optimization, energy optimization, workload estimation, and task scheduling. This article contributes a comprehensive and concise review of RM approaches within cloud environments. Moreover, it suggests design goals and research challenges that must be considered while developing novel RM strategies.</p>

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An IoT-Centric Data Protection Method for Preserving Security and Privacy in Cloud

Cited by 24 publications

References 28 publications

A Privacy-Preserving Surveillance Video Sharing Scheme: Storage, Authentication, and Joint Retrieval

A Privacy-Preserving Surveillance Video Sharing Scheme: Storage, Authentication, and Joint Retrieval

A Review on Secure Cloud Resource Management

A Review on Sustainable Resource Management in Cloud Environment

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