Log-Based Approach for Security Implementation in Cloud CRM’s

Patidar, Madhur; Bansal, Pooja

doi:10.1007/978-981-13-6351-1_4

Cited by 1 publication

(6 citation statements)

References 8 publications

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“…The authors of [41][42][43] emphasize wood logging for research purposes. In particular, the authors of [42] proposed a separate location log on the client side and then aligned it with the CSP log using unique IDs and timestamps that provide relevant event details.…”

Section: Log-based Approach Modelmentioning

confidence: 99%

“…However, going back to Sang's suggestion [42] that CSPcontrolled information has entered the client's side, it is argued that this limitation ensures comparable data on both sides of the transaction, i.e., the client side and the CSP side. The authors of [43] identify specific security and privacy threats over the SaaS-based CRM solutions and the measures to overcome them to ensure business processes' smooth functioning.…”

Section: Log-based Approach Modelmentioning

confidence: 99%

“…Log-based approach for Cloud CRM [43] • Time saving for uploading, backup, and maintenance purposes.…”

Section: Cybercrime Forensicmentioning

confidence: 99%

“…How to keep logs as security and synchronized and effectiveness as evidence [42]; 13. Improper activities at the network, client and server-end [43]; 14. Distributed Denial of Services (DDoS) and Malware Attacks [43]; 15.…”

Section: Open Problemsmentioning

confidence: 99%

“…Improper activities at the network, client and server-end [43]; 14. Distributed Denial of Services (DDoS) and Malware Attacks [43]; 15. Dependencies due to service providers [43]; 16. In the public Cloud deployment model, consumers do not have physical access to the infrastructure, and their data privacy is much lower than those in the private cloud [54]; 17.…”

Section: Open Problemsmentioning

confidence: 99%

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Cloud and Edge Computing-Based Computer Forensics: Challenges and Open Problems

et al. 2021

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In recent years, there has been a dramatic change in attitude towards computers and the use of computer resources in general. Cloud and Edge computing have emerged as the most widely used technologies, including fog computing and the Internet of Things (IoT). There are several benefits in exploiting Cloud and Edge computing paradigms, such as lower costs and higher efficiency. It provides data computation and storage where data are processed, enables better data control, faster understanding and actions, and continuous operation. However, though these benefits seem to be appealing, their effects on computer forensics are somewhat undesirable. The complexity of the Cloud and Edge environments and their key features present many technical challenges from multiple stakeholders. This paper seeks to establish an in-depth understanding of the impact of Cloud and Edge computing-based environmental factors. Software and hardware tools used in the digital forensic process, forensic methods for handling tampered sound files, hidden files, image files, or images with steganography, etc. The technical/legal challenges and the open design problems (such as distributed maintenance, multitasking and practicality) highlight the various challenges for the digital forensics process.

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