Cloud Security Threats, Attacks and Mitigation

2018 ◽  
Vol 6 (5) ◽  
pp. 473-478
Author(s):  
K. K. Chauhan ◽  
◽  
◽  
A. K. S. Sanger
2019 ◽  
Vol 7 (2) ◽  
pp. 342-348
Author(s):  
Vaishali Singh ◽  
Kavita Bhatia ◽  
S. K. Pandey

Author(s):  
Anshu Devi ◽  
Ramesh Kait ◽  
Virender Ranga

Fog computing is a term coined by networking giant Cisco. It is a new paradigm that extends the cloud computing model by conferring computation, storage, and application services at the periphery of networks. Fog computing is a gifted paradigm of cloud computing that facilitates the mobility, portability, heterogeneity, and processing of voluminous data. These distinct features of fog help to reduce latency and make it suitable for location-sensitive applications. Fog computing features raise new security concerns and challenges. The existing cloud security has not been implemented directly due to mobility, heterogeneity of fog nodes. As we know, IoT has to process large amount of data quickly; therefore, it has various functionality-driven applications that escalate security concerns. The primary aim of this chapter is to present the most recent security aspects such as authentication and trust, reputation-based trust model, rogue fog node and authentication at different level, security threats, challenges, and also highlights the future aspects of fog.


2015 ◽  
Vol 727-728 ◽  
pp. 934-936
Author(s):  
Lei Sun ◽  
Qin Sheng Du ◽  
Lu Tan

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.


Author(s):  
Ngoc Thuy Le ◽  
Doan B. Hoang

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.


2019 ◽  
Vol 8 (4) ◽  
pp. 424
Author(s):  
Dr. K.SAI MANOJ

Now a days, cloud computing is an emerging and way of computing in computer science. Cloud computing is a set of resources and services that are offered by the network or internet. Cloud computing extends various computing techniques like grid computing, distributed compu-ting. Today cloud computing is used in both industrial, research and academic field. Cloud facilitates its users by providing virtual resources via internet. As the field of cloud computing is spreading the new techniques are developing. This increase in cloud computing environment also increases security challenges for cloud developers. Users of cloud save their data in the cloud hence the lack of security in cloud can lose the user’s trust.In this paper we will discuss some of the cloud security issues in various aspects like multi-tenancy, elasticity, reliability, availability etc in various sectors, the paper also discuss existing security techniques and approaches for a secure cloud environment. This paper will enable researchers and professionals to know about different security threats and models and tools proposed.  


2018 ◽  
Vol 110 ◽  
pp. 99-107 ◽  
Author(s):  
Agnieszka Jakóbik ◽  
Francesco Palmieri ◽  
Joanna Kołodziej

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