scholarly journals Multilevel classification of security threats in cloud computing

2017 ◽  
Vol 7 (1.5) ◽  
pp. 253
Author(s):  
N. Srinivasu ◽  
O. Sree Priyanka ◽  
M. Prudhvi ◽  
G. Meghana
Keyword(s):  
Cloud Computing ◽  
Web Application ◽  
Service Level Agreement ◽  
Service Level ◽  
Security Threats ◽  
Security Threat ◽  
Security Issues ◽  
Network Applications ◽  
Storage Network ◽  
Multilevel Classification

Cloud Security was provided for the services such as storage, network, applications and software through internet. The Security was given at each layer (Saas, Paas, and Iaas), in each layer, there are some security threats which became the major problem in cloud computing. In Saas, the security issues are mainly present in Web Application services and this issue can be overcome by web application scanners and service level agreement(SLA). In Paas, the major problem is Data Transmission. During transmission of data, some data may be lost or modified. The PaaS environment accomplishes proficiency to some extent through duplication of information. The duplication of information makes high accessibility of information for engineers and clients. However, data is never fully deleted instead the pointers to the data are deleted. In order to overcome this problem the techniques that used are encryption[12], data backup. In Iaas the security threat that occurs in is virtualization and the techniques that are used to overcome the threats are Dynamic Security Provisioning(DSC), operational security procedure, for which Cloud Software is available in the market, for e.g. Eucalyptus, Nimbus 6.

Examining of Data Security, Privacy, and Reliability for Cloud and Internet of Things Integration

2018 ◽  
pp. 57-90
Author(s):  
Marcus Tanque
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Data Security ◽  
Service Level Agreement ◽  
Service Level ◽  
Resource Provisioning ◽  
Security Issues ◽  
Support Organizations ◽  
Day To Day Operations

Converging Cloud computing with Internet of Things transformed organizations' traditional technologies. This chapter examines the intersection of cloud computing and internet of things in consort with how these solutions often interact on the internet. Vendors develop CloudIoT capabilities to support organizations' day-to-day operations. IoT is a combined platform encompassing physical and virtual nodes. IoT objects comprise device-to-device data sharing, machine-to-machine provisioning, sensors, actuators, and processors. These systems may be deployed as hardware components and applications software. This chapter also emphasizes data security, reliability, resource provisioning, service-level agreement, quality of service, IoT, privacy, and device integration. This chapter also highlights operational benefits and/or security issues affecting CC and IoT technologies.

Cloud Computing : Security Issues And Resource Allocation Policies

2017 ◽  
Vol 7 (7) ◽  
pp. 176
Author(s):  
Gaurav Sharma ◽  
Urvashi Garg, A.P ◽  
Arun Jain, A.P ◽  
Loveleena Mukhija, A.P
Keyword(s):  
Cloud Computing ◽  
Data Center ◽  
Service Level Agreement ◽  
Service Level ◽  
Cloud Provider ◽  
New Era ◽  
Security Issues ◽  
Processing Power ◽  
Client Data ◽  
Computing Grid

Cloud computing is the combination of distributed computing, grid computing and parallel technologies which define the shape of a new era. In this technology client data is stored and maintain in the data center of a cloud provider like Google, Amazon and Microsoft etc. It has inherited the legacy technology and including unique ideas. Industries, such as education, banking and healthcare are moving towards the cloud due to the efficiency of services such as transactions carried out, processing power used, bandwidth consumed, data transferred etc. There are various challenges  for adopting cloud computing such as privacy ,interoperability, managed service level agreement (SLA) and reliability. In this paper we survey challenges in resources allocation and the security issues of the cloud environment.

Distance Aware VM allocation process to minimize energy consumption in cloud computing

2019 ◽  
Vol 12 ◽  
Author(s):  
Gurpreet Singh ◽  
Manish Mahajan ◽  
Rajni Mohana
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Energy Consumption ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Research Work ◽  
Service Level Agreement ◽  
Service Level ◽  
Physical Machine ◽  
Allocation Process

BACKGROUND: Cloud computing is considered as an on-demand service resource with the applications towards data center on pay per user basis. For allocating the resources appropriately for the satisfaction of user needs, an effective and reliable resource allocation method is required. Because of the enhanced user demand, the allocation of resources has now considered as a complex and challenging task when a physical machine is overloaded, Virtual Machines share its load by utilizing the physical machine resources. Previous studies lack in energy consumption and time management while keeping the Virtual Machine at the different server in turned on state. AIM AND OBJECTIVE: The main aim of this research work is to propose an effective resource allocation scheme for allocating the Virtual Machine from an ad hoc sub server with Virtual Machines. EXECUTION MODEL: The execution of the research has been carried out into two sections, initially, the location of Virtual Machines and Physical Machine with the server has been taken place and subsequently, the cross-validation of allocation is addressed. For the sorting of Virtual Machines, Modified Best Fit Decreasing algorithm is used and Multi-Machine Job Scheduling is used while the placement process of jobs to an appropriate host. Artificial Neural Network as a classifier, has allocated jobs to the hosts. Measures, viz. Service Level Agreement violation and energy consumption are considered and fruitful results have been obtained with a 37.7 of reduction in energy consumption and 15% improvement in Service Level Agreement violation.

Social engineering as a threat to personal financial security

2021 ◽  
Vol 17 (1) ◽  
pp. 150-166
Author(s):  
Andrei L. LOMAKIN ◽  
Evgenii Yu. KHRUSTALEV ◽  
Gleb A. KOSTYURIN
Keyword(s):  
Information Security ◽  
Personal Information ◽  
Public Awareness ◽  
Social Engineering ◽  
Training System ◽  
Security Threats ◽  
Security Threat ◽  
Public And Private ◽  
Security Issues ◽  
The Government

Subject. As the socio-economic relationships are getting digitalized so quickly, the society faces more and more instances of cybercrime. To effectively prevent arising threats to personal information security, it is necessary to know key social engineering methods and security activities to mitigate consequences of emerging threats. Objectives. We herein analyze and detect arising information security threats associated with social engineering. We set forth basic guidelines for preventing threats and improving the personal security from social engineering approaches. Methods. The study relies upon methods of systems analysis, synthesis, analogy and generalization. Results. We determined the most frequent instances associated with social engineering, which cause personal information security threats and possible implications. The article outlines guidelines for improving the persona; security from social engineering approaches as an information security threat. Conclusions and Relevance. To make information security threats associated with social engineering less probable, there should be a comprehensive approach implying two strategies. First, the information security protection should be technologically improved, fitted with various data protection, antivirus, anti-fishing software. Second, people should be more aware of information security issues. Raising the public awareness, the government, heads of various departments, top executives of public and private organizations should set an integrated training system for people, civil servants, employees to proliferate the knowledge of information security basics.

Broker-based optimization of SLA negotiations in cloud computing

2021 ◽  
Vol 17 (2) ◽  
pp. 179-195
Author(s):  
Priyanka Bharti ◽  
Rajeev Ranjan ◽  
Bhanu Prasad
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Environment ◽  
Negotiation Strategies ◽  
Sla Negotiation ◽  
Conflicting Interests ◽  
The Impact

Cloud computing provisions and allocates resources, in advance or real-time, to dynamic applications planned for execution. This is a challenging task as the Cloud-Service-Providers (CSPs) may not have sufficient resources at all times to satisfy the resource requests of the Cloud-Service-Users (CSUs). Further, the CSPs and CSUs have conflicting interests and may have different utilities. Service-Level-Agreement (SLA) negotiations among CSPs and CSUs can address these limitations. User Agents (UAs) negotiate for resources on behalf of the CSUs and help reduce the overall costs for the CSUs and enhance the resource utilization for the CSPs. This research proposes a broker-based mediation framework to optimize the SLA negotiation strategies between UAs and CSPs in Cloud environment. The impact of the proposed framework on utility, negotiation time, and request satisfaction are evaluated. The empirical results show that these strategies favor cooperative negotiation and achieve significantly higher utilities, higher satisfaction, and faster negotiation speed for all the entities involved in the negotiation.

Security Management Issues for Open Source ERP in the NGN Environment

2013 ◽  
pp. 789-804
Author(s):  
Mirjana D. Stojanović ◽  
Vladanka S. Acimovic-Raspopovic ◽  
Slavica Bostjancic Rakas
Keyword(s):  
Enterprise Resource Planning ◽  
Service Management ◽  
Critical Evaluation ◽  
Service Level Agreement ◽  
Security Management ◽  
Resource Planning ◽  
Service Level ◽  
Erp Systems ◽  
Security Issues ◽  
Starting Point

This chapter aims to provide a critical evaluation of security issues and potential solutions related to the use of free and open enterprise resource planning (FOS ERP) systems in highly dynamic and heterogeneous next generation networks (NGN). The authors first present a brief state of the art with respect to technologies, features and applicability of the existing security solutions for ERP systems. Second, they address security issues in FOS ERP systems. Further, they consider research directions concerning NGN infrastructure security, with a particular focus to the importance of building advanced security management systems. Properly defined service level agreement between the customer and the provider represents a starting point for provisioning of secure services with the required quality. The authors also propose policy-based security management architecture, in a wider context of quality of service management system.

Resource Allocation Policies in Cloud Computing Environment

2017 ◽  
pp. 115-132 ◽  
Author(s):  
Suvendu Chandan Nayak ◽  
Sasmita Parida ◽  
Chitaranjan Tripathy ◽  
Prasant Kumar Pattnaik
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Resource Utilization ◽  
Service Level Agreement ◽  
Service Level ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
On Demand ◽  
Different Types ◽  
Cloud Datacenter

The basic concept of cloud computing is based on “Pay per Use”. The user can use the remote resources on demand for computing on payment basis. The on-demand resources of the user are provided according to a Service Level Agreement (SLA). In real time, the tasks are associated with a time constraint for which they are called deadline based tasks. The huge number of deadline based task coming to a cloud datacenter should be scheduled. The scheduling of this task with an efficient algorithm provides better resource utilization without violating SLA. In this chapter, we discussed the backfilling algorithm and its different types. Moreover, the backfilling algorithm was proposed for scheduling tasks in parallel. Whenever the application environment is changed the performance of the backfilling algorithm is changed. The chapter aims implementation of different types of backfilling algorithms. Finally, the reader can be able to get some idea about the different backfilling scheduling algorithms that are used for scheduling deadline based task in cloud computing environment at the end.

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