IaaS Cloud Model Security Issues on Behalf Cloud Provider and User Security Behaviors

Chawki, El Balmany; Asimi, Ahmed; Tbatou, Zakariae

doi:10.1016/j.procs.2018.07.180

Cited by 24 publications

(9 citation statements)

References 12 publications

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“…2. Further, each of these technologies will be considered in more detail together with potential information security threats and methods of prevention and protection [2][3][4][5][6][7][8][9][10].…”

Section: Methodsmentioning

confidence: 99%

Methods of Ensuring Information Security in BIM

Maksudovna,

Anatolyevna,

Dixit

et al. 2023

E3S Web Conf.

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Information security in BIM (Building Information Model) platforms is crucial, especially for mission-critical projects. Improper distribution and loss of confidential information can potentially lead to threats to physical security, financial losses, and loss of trust and reputation. The article discusses common methods of ensuring cybersecurity, potential threats, and measures to prevent them for the preparation and development of conceptual foundations for the Information Security Strategy of the process of building and structure information modeling. Tasks: 1) Identification of the most common information protection methods and identification of BIM security elements; 2) Analysis of potential cybersecurity threats for the information modeling process; 3) Consideration of common collaboration models in BIM. This work will allow developing an Information Security Strategy in BIM processes, improving the approach to ensuring an appropriate level of cybersecurity in BIM platforms, and developing universal steps for planning and implementing an effective information security strategy.

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Section: Methodsmentioning

confidence: 99%

Methods of Ensuring Information Security in BIM

Maksudovna,

Anatolyevna,

Dixit

et al. 2023

E3S Web Conf.

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show abstract

“…Even, for the Distributed Denial of Service (DDoS) attacks the Cloud Computing researchers proposed a set of solutions against this type of cyberattacks, as well as for [56] introduce utilizing Ingress filtering to ensure the address IP match the domain instead it will be drop. Otherwise, to avoid Hijacking attacks on the cloud, a deleting code technique that is applied on the network-based IDS to detect the vulnerabilities and correct them in real time to avoid any intrusion inside the cloud and leakage of the sensitive data [57].…”

Section: Cloud Computing Related Security Approachesmentioning

confidence: 99%

Data Security Mechanisms, Approaches, and Challenges for e-Health Smart Systems

2023

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In the new era, the trend of using wearable devices and smart accessories gained considerable popularity and become a necessity utility for human life due to their major role to keep monitoring health conditions and providing healthcare services. The combination of IoT networks with edge computing paradigms develops an intelligent e-health system that aims to monitor different real-time scenarios. The deployment of an e-health system exposes several challenges regarding the security and privacy aspects, particularly in the case of dealing with an enormous quantity of medical data and the risk presented by exchanging operations with external entities. In this paper a comprehensive presentation covered the basic topics of e-health system layers thus the advantages and limitations in terms of existing challenges has been mentioned, subsequently, adapted to the exposed cyber risk through the traditional systems in exchanging medical data, a discussion of the blockchain technology come over for new application opportunities, where this approach efficiently ensure the security of data transactions over the network, in addition, an overview outlined the main research works related to this technology. Therefore, a presentation study of diverse works reveals different security framework solutions related to e-health system’s layers, furthermore, uncovering the benefits of integrating intelligent technologies such as Machine Learning (supervised, and unsupervised types), Deep Learning, and Reinforcement Learning as well as introducing a comparison analysis of multiple AI algorithm models based on their efficiency for future deployment related security purposes to provide a smart healthcare monitoring system that meets patient needs. The end of this review highlighted further research directions and the actual open challenges regarding the e-Health system’s limitations.

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“…IaaS also provides users with data security, backup, and maintenance [13,14]. Consumers have full control over these tools, which are aggregated and controlled [15]. Some companies cannot afford to purchase a computer, so instead of buying the infrastructure, it can be leased or rented according to the needs of the users.…”

Section: A Infrastructure As a Service (Iaas)cloudmentioning

confidence: 99%

Detecting Malware Infection on Infrastructure Hosted in Iaas Cloud using Cloud Visibility and Forensics

Almadhoor¹,

El-Aziz²,

Hamdi³

2021

IJACSA

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Cloud computing has been adopted very rapidly by organizations with different businesses and sizes, the use of cloud services is rising at an unparalleled rate these days especially IaaS services as cloud providers offer more powerful resources with flexible offerings and models. This rapid adoption opens new surface attacks to the organizations that attackers abuse with their malware to take advantage of these powerful resources and the valuable data that exist on them. Therefore for organizations to well defend against malware attacks they need to have full visibility not only on their data centers but also on their resources hosted on the cloud and don't take their security for granted. This paper discusses and aims to provide the best approaches to achieve continuous monitoring of malware attacks on the cloud along with their phases (before, during, and after) and the limitations of today's available techniques suggesting needed developments. Logging and forensics techniques have always been the cornerstone of achieving continuous monitoring and detection of malware attacks on-premises, this paper defines the best methods to bring loggings and forensics to the cloud and integrate them with on-premises visibility, thus achieving the full monitoring over the whole security posture of the organization assets whether they are on-premises or on the cloud.

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IaaS Cloud Model Security Issues on Behalf Cloud Provider and User Security Behaviors

Cited by 24 publications

References 12 publications

Methods of Ensuring Information Security in BIM

Methods of Ensuring Information Security in BIM

Data Security Mechanisms, Approaches, and Challenges for e-Health Smart Systems

Detecting Malware Infection on Infrastructure Hosted in Iaas Cloud using Cloud Visibility and Forensics

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