Authentication Framework for Cloud Machine Deletion

Dubey, Pooja; Tiwari, Vineeta; Chawla, Shweta; Chauhan, Vijay

doi:10.1007/978-981-10-3920-1_20

Cited by 4 publications

(3 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The first step in cloud forensics to assure high levels of security is user authentication. 24 Here, preventing evidence from unauthorized users is the main goal. Email verification and one-time passwords (OTP) are used for effective authentication.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

On developing Block‐Chain based Secure Storage Model (BSSM) with auditing and integrity analysis in the cloud

Apirajitha,

Sathianesan

2023

Concurrency and Computation

View full text Add to dashboard Cite

SummaryIn present scenario, Cloud Computing is developing vast, as the resources are utilized by many people and provided on‐demand. Recent works on cloud reports the success rates of cyber activities using cloud models for deceptive actions, because of its significant features and lack of apposite forensic models for cloud. For developing a cloud model for forensic support is an important and intricate issue like, directorial and technical challenges due to system distribution, virtualization, and dynamic characteristic of nodes. Considering the issues, this article develops a Block‐chain based Secure Storage Model (BSSM) incorporating Integrity and Auditing Examination Model for evaluating reliability of forensic data and auditing for validation. Moreover, this model effectively works on the domain of Forensic as a Service (FaaS) in cloud. The forensic data are formed into block‐chain for ensuring security. The model also aids in reducing the storage space effectively and the auditing and integrity analysis model incorporated in this work minimizes the dependency of trusts on Cloud Service Provider (CSP). And, the evaluation results show that the proposed model effectively achieves the objective in better way than compared works.

show abstract

Section: Related Workmentioning

confidence: 99%

“…The first step in cloud forensics to assure high levels of security is user authentication 24 . Here, preventing evidence from unauthorized users is the main goal.…”

Section: Related Workmentioning

confidence: 99%

On developing Block‐Chain based Secure Storage Model (BSSM) with auditing and integrity analysis in the cloud

Apirajitha,

Sathianesan

2023

Concurrency and Computation

View full text Add to dashboard Cite

show abstract

“…User authentication is the foremost process of cloud forensic to ensure high-level security [23]. Here the significant aim is to prevent evidence from unauthorized users.…”

Section: B Motivationmentioning

confidence: 99%

Digital Forensics Architecture for Evidence Collection and Provenance Preservation in IaaS Cloud Environment Using SDN and Blockchain Technology

Pourvahab

Ekbatanifard

2019

IEEE Access

View full text Add to dashboard Cite

Cloud forensics is an intelligent evolution of digital forensics that defends against cyber-crimes. However, centralized evidence collection and preservation minimizes the reliability of digital evidence. To resolve this severe problem, this paper proposes a novel digital forensic architecture using fast-growing Software-Defined Networking (SDN) and Blockchain technology for Infrastructure-as-a-Service (IaaS) cloud. In this proposed forensic architecture, the evidence is collected and preserved in the blockchain that is distributed among multiple peers. To protect the system from unauthorized users, Secure Ring Verification based Authentication (SRVA) scheme is proposed. To strengthen the cloud environment, secret keys are generated optimally by using Harmony Search Optimization (HSO) algorithm. All data are encrypted based on the sensitivity level and stored in the cloud server. For encryption, Sensitivity Aware Deep Elliptic Curve Cryptography (SA-DECC) algorithm is presented. For every data stored in the cloud, a block is created in the SDN controller and the history of data is recorded as metadata. In each block, the Merkle hash tree is built by using Secure Hashing Algorithm-3 (SHA-3). Our system allows users to trace their data by deploying Fuzzy based Smart Contracts (FCS). Finally, evidence analysis is enabled by constructing Logical Graph of Evidence (LGoE) collected from the blockchain. Experiments are conducted in an integrated environment of java (for cloud and blockchain) and network simulator-3.26 (for SDN). The extensive analysis shows that proposed forensic architecture shows promising results in Response time, Evidence insertion time, Evidence verification time, Communication overhead, Hash computation time, Key generation time, Encryption time, Decryption time and total change rate.INDEX TERMS Software-defined networking, blockchain, evidence collection, cloud forensics, security.

show abstract

Enhancing Blockchain security in cloud computing with IoT environment using ECIES and cryptography hash algorithm

Velmurugadass

Dhanasekaran

Anand

et al. 2021

Materials Today: Proceedings

View full text Add to dashboard Cite

Authentication Framework for Cloud Machine Deletion

Cited by 4 publications

References 4 publications

On developing Block‐Chain based Secure Storage Model (BSSM) with auditing and integrity analysis in the cloud

On developing Block‐Chain based Secure Storage Model (BSSM) with auditing and integrity analysis in the cloud

Digital Forensics Architecture for Evidence Collection and Provenance Preservation in IaaS Cloud Environment Using SDN and Blockchain Technology

Enhancing Blockchain security in cloud computing with IoT environment using ECIES and cryptography hash algorithm

Contact Info

Product

Resources

About