Various Security Challenges In Cloud Forensic

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Various Security Challenges In Cloud Forensic

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Various Security Challenges In Cloud Forensic

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Discuss about the Various Security Challenges in Cloud Forensic.

Answer:

Objective
The objective of the assignment is to analyze data and information with proper design process. This assignment have reviewed various journals, articles as data is collected with the help of secondary method data collection. Data and information related to cloud security is collected from various online journals, books and articles from various sources. All the journals are published after 2012.
Data Collection
Before initiating experimental analysis and results, data collection is an important step to follow in the research. Therefore, data is collected from various secondary sources including journals, books, articles and government databases. Following sections will help in identifying various sources pf data collection related to cloud security. We have used various organization as case studies to collect data and information regarding cloud attacks and security challenges. All data and information are put into a table for creating records in a proper manner.

Data Sources
Before initiating experiment analysis, problems and challenges regarding cloud security need to be identified by data collection. Therefore, data sources are important part of the research. Following are the data sources from where data is collected related to the cloud security:

Online Journals
Articles
Books
Private Companies

Collection of data
A data table is prepared for recording data and information regarding the cloud security. The type of data, format and fee are stored in the table.

Data Source Name

Source Organization

Data Description

Data File Format

URL

Charge fee

Target data source

Data 1

Gartner Inc

Privacy attacks

Pdf

https://www.iaeng.org/publication/WCE2013/WCE2013_pp1287-1291.pdf

Free

Data 2

RazorFish Inc

Social Engineering attacks

Pdf

https://www.lume.ufrgs.br/bitstream/handle/10183/99410/000921541.pdf;sequence=1

Free

Yes

Data 3

AWS

Account Hijacking

Pdf

https://pdfs.semanticscholar.org/presentation/0d5e/1817f3c55a53fa1e748da2fa23f71c5f33d2.pdf

$1000

Yes

Data 4

Apple

Traffic flooding

Pdf

https://file.scirp.org/pdf/IJCNS_2014122416030507.pdf

$1000

Yes

Data 5

Alpha Mobile

Malware Injection

Pdf

https://ijcsit.com/docs/Volume%206/vol6issue02/ijcsit2015060250.pdf

Free

Data Storage
After creating and finishing table, next step is collecting data and put them in another table. This table contains raw data related to the cloud security.

Data Source name

Date of Collection

Saved File Location

Saved File name

Saved File Format

No. of Data Records

Data 1

15/8/2017

//raw data/

1817f3c55a53fa1e748da2fa23f71c5f33d2.pdf

Pdf

2000

Data 2

20/8/2017

//raw data/

000921541.pdf

Pdf

1000

Data 3

13/3/2018

//raw data/

IJCNS_2014122416030507.pdf

Pdf

738

Data 4

23/5/2018

//raw data/

ijcsit2015060250.pdf

Pdf

896

Data 5

5/10/2018

//raw data/

WCE2013_pp1287-1291.pdf

Pdf

478

Design and Implementation
The next task is to design and implement. Tasks divided into sub-tasks. In 1.2.1 we did pre-computing. 1.2.2 is based on Feature selection or dimension reduction. 1.2.3 is design phase. 1.2.4 is implementation.

Data pre-computing
Data pre-computing is important part in the data collection method as all data sources are not eligible for used in the study. Various filters are applied in this case for selecting appropriate data and information related to cloud security.
Feature selection or dimension reduction
After pre-computing, the next step is related to selection of features from results and decrease the number of random data. A new table is created to store new filtered data related to the cloud security.

Date

Data Source Name

Purpose of Preprocessi ng

Preprocessi ng Method

No. Original Data Records

No. Result Data Records

No. Original Features

No. Result Features

New Data File Name

20/8/2017

Data 2

Clean missing data

Data filtering

1000

1817f3c55a53fa1e748da2fa23f71c5f33d2.pdf

13/3/2018

Data 3

Avoid duplicity

Data reduction

738

000921541.pdf

23/5/2018

Data 4

Feature selected

Data integration

896

IJCNS_2014122416030507.pdf

Experiment designing
Detailed design steps
Experiments are based on the methodology selected in the research. Secondary research methodology is selected in the research. The research has followed a qualitative research method. Thematic analysis is selected for analyzing data and information collected for the research. Themes are created for analyzing data and information.
Implementation
The further step is implementation. After designing, the next part is to implement themes related to the cloud security. Themes are created based on cloud security.

Analysis
Results Estimation
Cloud computing are useful for SMEs in market. Autonomous endeavors are monetarily weak and cannot adopt expense of over the top applications and software. In this way, Cloud computing are maintaining budgetary arrangement. Cloud computing provides securing huge proportion of data over the web. This are a phenomenal methodology given by Cloud computing. Giant proportion of data sources are accessible over internet. Subsequently, organization and limit of data are a great issue for associations in the market (Taha et al. 2014). Subsequently, Cloud computing helps in keeping up data and information over internet. Of course, there are a couple of security challenges in the Cloud computing. Data security is critical security challenges in Cloud computing. Different data and information is secured in the cloud. Several challenges in security are recognized in the Cloud computing (Kaur and Kaur 2015).
The usage of cloud computing are helping in securing data an information of customers. In any case, there are a couple of advanced ambushes over the web. Diverse models are going up against unmistakable kind of security challenges in the cloud (Kulkarni and Khanai 2015). SaaS indicate is defying challenges in data and framework. Basic data of the affiliations are secured completed the Cloud computing databases. In this way, there is tremendous threats and risks of losing data over cloud. Advanced ambushes are undeniable over these progressing years (Casola, De Benedictis and Rak 2015). This can be an exceptional hazard for the Cloud computing. Cloud expert centers are helping in tying down data and information of associations over their servers. Software engineers and programmers are concentrating on this databases over the web (Sharma et al. 2017). Control and organization of data is a sharp perils for affiliations.
SMEs are benefited by use of cloud services in market. Private companies are small and are not able to bear costly software. Along these lines, cloud computing helps in maintaining business plan of companies. This are an awesome methodology given by cloud computing. Tremendous measure of information sources are available over the web (Jyothi and Bhavani 2017). Along these lines, storage and management of data is an incredible risk for companies in the market. Accordingly, cloud storage are helping in storing information and data over the web.
The utilization of cloud computing are helping in putting away information and data of clients. However, there are a few digital attacks over the web. Different models are confronting diverse sort of security challenges in cloud. SaaS demonstrate is confronting challenges in information and system (Khan and Al-Yasiri 2016). Critical information of associations are put away over cloud computing databases. In this manner, there are immense dangers and risk of losing information and data over cloud. Cloud-attacks are unmistakable over ongoing years (Tari 2014). Cloud specialist organizations are helping in anchoring information and data of organizations over their servers. However, programmers and interlopers are focusing on this databases over the web. Control and administration of information is a sharp dangers for associations. Cloud security is an important aspect for companies in the market.
The utilization of a few approaches and standards are documented in ceasing these cloud attacks. Subsequently, data innovation are assuming an incredible job in keeping up hazard over the cloud computing. In cloud computing, information should be exchanged starting with one system then onto the next system much of the time (Kaiya et al. 2016). Consequently, Data flow issues are occurring in cloud computing. The utilization of methodology are helping in recognizing digital attacks in system. A few system attacks including DOS, DDOS and SQL infusion are major attacks in cloud computing system (Modic et al. 2016). Information protection and privacy challenges are happening in classified information and data amid sharing. The verification issue are occurring in the cloud computing related to the information security. The respectability of information is an issue that is making protection need in the cloud computing. A large portion of the occasions because of need in confirmation and protection, unapproved clients are going into the system of the cloud computing.

Results Summary
The IT field are profited by utilization of the cloud computing. The challenges and difficulties in the cloud computing are discussed about in these reports. The past researches in cloud security are discussed about in area. An engaged methodology are utilized so as to examinations writing. The sum total of what online are actually identified with cloud computing security. Distinctive specialized parts of the cloud computing are discussed about in online (Chouhan and Singh 2016). These online have possessed the capacity to distinguish security issues in the cloud computing. Cloud computing is an ongoing idea in the IT field (De Carvalho et al. 2017). The utilization of cloud services in the business association are an extraordinary advantageous for advancement of organization in the market. These examination online contains different contextual investigations of the distinctive associations that are profited because of the cloud computing. Alongside these, the principle focal point of these online are challenges and difficulties in cloud computing identified with security approach.
Outline of the research
Objective

Data Collection

1.1 Data Sources
1.2 Collection of data
1.3 Data Storage

Design and Implementation

2.1 Data pre-computing
2.2 Feature selection or dimension reduction
2.3 Experiment designing
2.3.1 Detailed design steps
2.4 Implementation

Analysis

3.1 Results Estimation
3.2 Results Summary

References
Chauhan, P. and Bansal, P., 2017. Emphasizing on Various Security Challenges in Cloud Forensic Framework. Indian Journal of Science and Technology, 10(18).
Chen, X., Chen, C., Tao, Y. and Hu, J., 2015. A cloud security assessment system based on classifying and grading. IEEE Cloud Computing, 2(2), pp.58-67.
Chouhan, P. and Singh, R., 2016. Security attacks on cloud computing with possible solution. International Journal of Advanced Research in Computer Science and Software Engineering, 6(1).
Cook, A., Robinson, M., Ferrag, M.A., Maglaras, L.A., He, Y., Jones, K. and Janicke, H., 2018. Internet of Cloud: Security and Privacy Challenges. In Cloud Computing for Optimization: Foundations, Applications, and Challenges (pp. 271-301). Springer, Cham.
De Carvalho, C.A.B., de Castro Andrade, R.M., de Castro, M.F., Coutinho, E.F. and Agoulmine, N., 2017. State of the art and challenges of security SLA for cloud computing. Computers & Electrical Engineering, 59, pp.141-152.
Guo, C. and Zheng, X., 2015. The Research of Data Security Mechanism Based on Cloud Computing. International Journal of Security and Its Applications, 9(3), pp.363-370.
Joseph, A.O., Kathrine, J.W. and Vijayan, R., 2014. Cloud security mechanisms for data protection: a survey. International Journal of Multimedia and Ubiquitous Engineering, 9(9), pp.81-90.
Jyothi, C. and Bhavani, P., 2017. Study on Security Controversies and Techniques in Cloud Computing. International Journal of Research, 4(14), pp.5568-5572.
Kaur, M. and Singh, H., 2015. A review of cloud computing security challenges. International Journal of Advances in Engineering & Technology, 8(3), p.397.
Khan, N. and Al-Yasiri, A., 2016. Identifying cloud security threats to strengthen cloud computing adoption framework. Procedia Computer Science, 94, pp.485-490.
Khattak, H.A.K., Abbass, H., Naeem, A., Saleem, K. and Iqbal, W., 2015, October. Security concerns of cloud-based healthcare systems: A perspective of moving from single-cloud to a multi-cloud infrastructure. In E-health Networking, Application & Services (HealthCom), 2015 17th International Conference on (pp. 61-67). IEEE.
Tari, Z., 2014. Security and Privacy in Cloud Computing. IEEE Cloud Computing, 1(1), pp.54-57.
Tirthani, N. and Ganesan, R., 2014. Data Security in Cloud Architecture Based on Diffie Hellman and Elliptical Curve Cryptography. IACR Cryptology ePrint Archive, 2014, p.49.
Washizaki, H., Fukumoto, S., Yamamoto, M., Yoshizawa, M., Fukazawa, Y., Kato, T., Ogata, S., Kaiya, H., Fernandez, E.B., Kanuka, H. and Kondo, Y., 2016, June. A metamodel for security and privacy knowledge in cloud services. In 2016 IEEE World Congress on Services (SERVICES) (pp. 142-143). IEEE.
Yu, W., Yu, P., Wang, J., Wei, C., Gong, L., Li, W., Cui, B., Tadepalli, H.K. and Will, B., 2018, May. Protecting Your Own Private Key in Cloud: Security, Scalability and Performance. In 2018 IEEE Conference on Communications and Network Security (CNS) (pp. 1-2). IEEE.
Massonet, P., Luna, J., Pannetrat, A. and Trapero, R., 2015, March. Idea: Optimising multi-cloud deployments with security controls as constraints. In International Symposium on Engineering Secure Software and Systems (pp. 102-110). Springer, Cham.
Modic, J., Trapero, R., Taha, A., Luna, J., Stopar, M. and Suri, N., 2016. Novel efficient techniques for real-time cloud security assessment. Computers & Security, 62, pp.1-18.
Raza, N., Rashid, I. and Awan, F.A., 2017. Security and management framework for an organization operating in cloud environment. Annals of Telecommunications, 72(5-6), pp.325-333.
Rittinghouse, J.W. and Ransome, J.F., 2016. Cloud computing: implementation, management, and security. CRC press.
Ryoo, J., Rizvi, S., Aiken, W. and Kissell, J., 2014. Cloud security auditing: challenges and emerging approaches. IEEE Security & Privacy, (1), pp.1-1.
Taha, A., Trapero, R., Luna, J. and Suri, N., 2014, September. AHP-based quantitative approach for assessing and comparing cloud security. In Trust, Security and Privacy in Computing and Communications (TrustCom), 2014 IEEE 13th International Conference on (pp. 284-291). IEEE.
Kaur, R. and Kaur, J., 2015, March. Cloud computing security challenges and its solution: A review. In Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on (pp. 1198-1200). IEEE.
Kulkarni, P. and Khanai, R., 2015, April. Addressing mobile Cloud Computing security challenges: A survey. In Communications and Signal Computing (ICCSP), 2015 International Conference on (pp. 1463-1467). IEEE.
Casola, V., De Benedictis, A. and Rak, M., 2015, August. Security monitoring in the cloud: an SLA-based approach. In Availability, Reliability and Security (ARES), 2015 10th International Conference on (pp. 749-755). IEEE.
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