Information security risk management in the South African small, medium and micro enterprise environment
- Authors: Van Niekerk, Liesel
- Date: 2008-07-07T09:33:28Z
- Subjects: Small business , Risk management , Computer security management , Information technology security measures
- Type: Thesis
- Identifier: uj:10248 , http://hdl.handle.net/10210/761
- Description: The small, medium and micro enterprise (SMME) environment of South Africa contributes 42% to the national gross domestic product. This is a high number for a largely under-regulated environment. The corporate governance and IT governance standards that apply to South African companies are not feasible for SMMEs, and neither are they enforced, although 80% of failures of SMMEs are attributable to lack of enterprise management skill. The first objective of this dissertation is to examine the South African SMME, and in so doing determine whether local regulatory standards can be used for this unique enterprise formation. The second objective of this dissertation is to determine whether international methodologies for information security risk management, as an inclusive of IT governance, may be used in the unique local SMME formation. The result of these two objectives creates a gap in a typical information security risk management methodology that is suitable for the South African regulatory and economic environment for SMMEs. A model has been created as a possible answer for filling the gap. The dissertation includes the Peculium Model, which answers the regulatory and economic requirements that resulted from the second objective. The Model allows the small enterprise a simple but effective method for managing risks to its information assets, with the control of corporate governance and IT governance included in its framework. The Model answers the methods for identifying and assessing risk in a tradition-based but feasible new qualitative technique. , Labuschagne, L., Prof.
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A data protection methodology to preserve critical information from the possible threat of information loss
- Authors: Schwartzel, Taryn
- Date: 2011-10-03T07:34:13Z
- Subjects: Data protection , Business communication - Security measures , Business - Computer network resources - Security measures , Computer security management , Electronic commerce - Security measures
- Type: Thesis
- Identifier: uj:7224 , http://hdl.handle.net/10210/3861
- Description: M.Tech. , Information is a company’s greatest asset that is continually under threat from human error, technological failure, natural disasters and other external factors. These threats need to be identified and quantified and their relevant protection techniques need to be deployed. This research will allow businesses to ascertain which of these data protection strategies to embrace and deploy, thereby highlighting the balance between cost and value for their business needs. Every commercial enterprise should understand the business value of their data and realise that protecting this data is of utmost importance. However, company data often resides on different mediums, in different locations and implementing a data protection strategy is not always cost effective in terms of the cost of storage mediums and protection methods. The challenges that businesses face is trying to distinguish between mission-critical data from other business data, excluding any non-business or invaluable data that resides on their systems. Thus a cost-effective data protection strategy can be implemented according to the different values of business data. This research provides a model to enable an organisation to: · Utilise the model as a framework or guideline in determining a strategy for protection, storage, retrieval and preservation of business critical data. · Define the data protection strategy to meet the organisation’s business requirements. · Define a cost effective data protection solution that encompasses protection, storage, retrieval and preservation of business critical data. · Make strategic decisions based on an array of best practices to ensure mission-critical data is protected accordingly. iii · Draw a conclusion between the costs of implementing these solutions against the real business value of the data that it protects.
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