scholarly journals A Threat Computation Model using a Markov Chain and Common Vulnerability Scoring System and its Application to Cloud Security

2019 ◽  
Vol 7 (1) ◽  
pp. 37-56 ◽  
Author(s):  
Ngoc Thuy Le ◽  
Doan B. Hoang
Keyword(s):  
Markov Chain ◽  
Scoring System ◽  
Cloud Security ◽  
Security Threats ◽  
Security Threat ◽  
Security Risks ◽  
Security Metrics ◽  
Novel Approach ◽  
Compliance Checking ◽  
Iot Devices

Securing cyber infrastructures has become critical because they are increasingly exposed to attackers while accommodating a huge number of IoT devices and supporting numerous sophisticated emerging applications. Security metrics are essential for assessing the security risks and making effective decisions concerning system security. Many security metrics rely on mathematical models, but are mainly based on empirical data, qualitative methods, or compliance checking, and this renders the outcome far from satisfactory. Computing the probability of an attack, or more precisely a threat that materialises into an attack, forms an essential basis for a quantitative security metric. This paper proposes a novel approach to compute the probability distribution of cloud security threats based on a Markov chain and Common Vulnerability Scoring System. Moreover, the paper introduces the method to estimate the probability of security attacks. The use of the new security threat model and its computation is demonstrated through their application to estimating the probabilities of cloud threats and types of attacks.

Cloud Security Threats Distribution Technology Research

2015 ◽  
Vol 727-728 ◽  
pp. 934-936
Author(s):  
Lei Sun ◽  
Qin Sheng Du ◽  
Lu Tan
Keyword(s):  
Distributed Computing ◽  
Data Center ◽  
Cloud Security ◽  
Distribution Data ◽  
Security Threats ◽  
Technology Research ◽  
Security Threat

Inprotection architecture of data center, Cloud security threat distributiontechnology through the analysis of various threats of Internet and risks,obtains the threatened distribution data that is associated with the zombienetwork with the technology of distributed computing.

Networking in IoT: Technologies used, security threats and possible countermeasures

2021 ◽  
Vol 10 ◽  
Author(s):  
Deena Nath Gupta ◽  
Rajendra Kumar
Keyword(s):  
Remote Control ◽  
Heterogeneous Structure ◽  
Security Threats ◽  
Security Risks ◽  
Security Challenges ◽  
Man In The Middle ◽  
Personal Use ◽  
Networking Technologies ◽  
Iot Devices ◽  
Constrained Devices

: IoT is the networking of daily use objects. These objects are commonly known as constrained devices. Constrained devices works with low memory, low storage, and low computation power. Implementing security algorithms in these devices is challenging. The researchers take these challenges as opportunity. The diverse and heterogeneous structure of the IoT phenomenon introduces a variety of new security risks and challenges. Many threats such as botnets, home intrusion, remote control of the IoT devices, and man-in-the-middle attack are threatening the IoT environment. Hence it needs a stronger security implementation to protect IoT devices from being compromised. The authors surveys different kinds of networking technologies under an IoT environment, security challenges on them and possible countermeasures for these challenges to form a more secure IoT environment for trustful adoptation of services through industrial or personal use. In this paper, the authors presented the study of numerous networking technologies along with possible threats and their countermeasures.

scholarly journals Scalable and Secure Internet of Things Connectivity

Electronics ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 752 ◽  
Author(s):  
Ye-Jin Choi ◽  
Hee-Jung Kang ◽  
Il-Gu Lee
Keyword(s):  
Internet Of Things ◽  
Industrial Revolution ◽  
Human Life ◽  
Security Threats ◽  
Multiple Objects ◽  
Security Risks ◽  
Blockchain Technology ◽  
Iot Devices ◽  
The Internet Of Things ◽  
User Intervention

The Internet of things (IoT) technology, which is currently considered the new growth engine of the fourth industrial revolution, affects our daily life and has been applied to various industrial fields. Studies on overcoming the limitations of scalability and stability in a centralized IoT operating environment by employing distributed blockchain technology have been actively conducted. However, the nature of IoT that ensures connectivity with multiple objects at any time and any place increases security threats. Further, it extends the influence of the cyber world into the physical domain, resulting in serious damage to human life and property. Therefore, we aim to study a method to increase the security of IoT devices and effectively extend them simultaneously. To this end, we analyze the authentication methods and limitations of traditional IoT devices and examine cases for improving IoT environments by using blockchain technology. Accordingly, we propose a framework that allows IoT devices to be securely connected and extended to other devices by automatically evaluating security using blockchain technology and the whitelist. The method proposed in this paper restricts the extension of devices vulnerable to security risks by imposing penalties and allows only devices with high security to be securely and quickly authenticated and extended without user intervention. In this study, we applied the proposed method to IoT network simulation environments and observed that the number of devices vulnerable to security was reduced by 48.5% compared with traditional IoT environments.

scholarly journals Networking in IoT: Technologies used, Security Threats and Possible Countermeasures

2020 ◽  
Vol 9 (9) ◽  
pp. 557-563
Keyword(s):  
Physical Object ◽  
Heterogeneous Structure ◽  
Security Threats ◽  
Security Risks ◽  
Security Challenges ◽  
Man In The Middle ◽  
Personal Use ◽  
Networking Technologies ◽  
Iot Devices ◽  
Constrained Devices

IoT is the networking of daily use objects. Internet of Things amalgamates various kinds of physical object to communicate with each other directly. These objects are commonly known as constrained devices. Constrained devices work with low memory, low storage, and low computation power. Implementing security algorithms in these devices is challenging. The researchers take these challenges as opportunity. The diverse and heterogeneous structure of the IoT phenomenon introduces a variety of new security risks and challenges. Many threats, like botnets, home intrusion, remote control of the IoT devices, and man in the middle attacks, are emerging and need a stronger security implementation to protect IoT devices from being compromised. The authors surveys different kinds of IoT networking technologies, security challenges and solutions of these challenges to form more secure IoT environment for trustful adoption of services through industrial or personal use. In this paper, the authors presented a study of numerous networking technologies along with possible threats and their countermeasures.

scholarly journals A Survey of Emerging Threats in Cloud Security

2021 ◽  
Vol 9 (8) ◽  
pp. 2943-2945
Author(s):  
Darshan Bagrao
Keyword(s):  
Cloud Computing ◽  
Distributed Systems ◽  
Cloud Security ◽  
Communication Media ◽  
Security Threats ◽  
Security Risks ◽  
Web Based ◽  
Client Server ◽  
Potential Gain

Abstract: The original aim of the research was to investigate the conceptual dimensions of cloud security threats and vulnerabilities. Cloud computing has changed the whole picture from centralized (client-server not web-based) to distributed systems and now we are getting back to virtual centralization (cloud computing). Although potential gain achieved from cloud computing but still model security is questionable. . The cloud computing concept offers dynamically scalable resources and so it uses internet as a communication media. This paper proposes survey on emerging threats of cloud and also discussed the existing threat report and their remediation. The result and analysis show that solution of this work will be helpful in summarizing the main security risks of cloud computing from different organizations. Keywords: Threat, vulnerabilities, model security.

Revisiting Cloud Security Threats Man-in-the-Middle Attack

2019 ◽  
Vol 7 (2) ◽  
pp. 342-348
Author(s):  
Vaishali Singh ◽  
Kavita Bhatia ◽  
S. K. Pandey
Keyword(s):  
Cloud Security ◽  
Security Threats ◽  
Man In The Middle

Cloud Security Threats, Attacks and Mitigation

2018 ◽  
Vol 6 (5) ◽  
pp. 473-478
Author(s):  
K. K. Chauhan ◽  
◽  
◽  
A. K. S. Sanger
Keyword(s):  
Cloud Security ◽  
Security Threats

Security Threat Analyses and Attack Models for Approximate Computing Systems

2021 ◽  
Vol 26 (4) ◽  
pp. 1-31
Author(s):  
Pruthvy Yellu ◽  
Landon Buell ◽  
Miguel Mark ◽  
Michel A. Kinsy ◽  
Dongpeng Xu ◽  
...  
Keyword(s):  
Error Resilience ◽  
Security Threats ◽  
Approximate Computing ◽  
Security Threat ◽  
Security Vulnerabilities ◽  
Computing Systems ◽  
Quantitative Analyses ◽  
Resilience Mechanisms ◽  
The Impact ◽  
Attack Models

Approximate computing (AC) represents a paradigm shift from conventional precise processing to inexact computation but still satisfying the system requirement on accuracy. The rapid progress on the development of diverse AC techniques allows us to apply approximate computing to many computation-intensive applications. However, the utilization of AC techniques could bring in new unique security threats to computing systems. This work does a survey on existing circuit-, architecture-, and compiler-level approximate mechanisms/algorithms, with special emphasis on potential security vulnerabilities. Qualitative and quantitative analyses are performed to assess the impact of the new security threats on AC systems. Moreover, this work proposes four unique visionary attack models, which systematically cover the attacks that build covert channels, compensate approximation errors, terminate normal error resilience mechanisms, and propagate additional errors. To thwart those attacks, this work further offers the guideline of countermeasure designs. Several case studies are provided to illustrate the implementation of the suggested countermeasures.

scholarly journals A novel approach for IoT tasks offloading in edge-cloud environments

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Jaber Almutairi ◽  
Mohammad Aldossary
Keyword(s):  
Service Time ◽  
Edge Computing ◽  
Cloud System ◽  
Novel Approach ◽  
Delay Sensitivity ◽  
Cloud Environments ◽  
Application Characteristics ◽  
Iot Devices ◽  
Computational Resources ◽  
And Storage

AbstractRecently, the number of Internet of Things (IoT) devices connected to the Internet has increased dramatically as well as the data produced by these devices. This would require offloading IoT tasks to release heavy computation and storage to the resource-rich nodes such as Edge Computing and Cloud Computing. Although Edge Computing is a promising enabler for latency-sensitive related issues, its deployment produces new challenges. Besides, different service architectures and offloading strategies have a different impact on the service time performance of IoT applications. Therefore, this paper presents a novel approach for task offloading in an Edge-Cloud system in order to minimize the overall service time for latency-sensitive applications. This approach adopts fuzzy logic algorithms, considering application characteristics (e.g., CPU demand, network demand and delay sensitivity) as well as resource utilization and resource heterogeneity. A number of simulation experiments are conducted to evaluate the proposed approach with other related approaches, where it was found to improve the overall service time for latency-sensitive applications and utilize the edge-cloud resources effectively. Also, the results show that different offloading decisions within the Edge-Cloud system can lead to various service time due to the computational resources and communications types.

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