A cyber security awareness and education framework for South Africa
- Authors: Kortjan, Noloxolo
- Date: 2013
- Subjects: Computer networks -- Security measures , Computer crimes -- Prevention , Computer security
- Language: English
- Type: Thesis , Masters , MTech
- Identifier: vital:9811 , http://hdl.handle.net/10948/d1014829
- Description: The Internet is becoming increasingly interwoven in the daily life of many individuals, organisations and nations. It has, to a large extent, had a positive effect on the way people communicate. It has also introduced new avenues for business and has offered nations an opportunity to govern online. Nevertheless, although cyberspace offers an endless list of services and opportunities, it is also accompanied by many risks. One of these risks is cybercrime. The Internet has given criminals a platform on which to grow and proliferate. As a result of the abstract nature of the Internet, it is easy for these criminals to go unpunished. Moreover, many who use the Internet are not aware of such threats; therefore they may themselves be at risk, together with businesses and governmental assets and infrastructure. In view of this, there is a need for cyber security awareness and education initiatives that will promote users who are well versed in the risks associated with the Internet. In this context, it is the role of the government to empower all levels of society by providing the necessary knowledge and expertise to act securely online. However, there is currently a definite lack in South Africa (SA) in this regard, as there are currently no government-led cyber security awareness and education initiatives. The primary research objective of this study, therefore, is to propose a cyber security awareness and education framework for SA that will assist in creating a cyber secure culture in SA among all of its users of the Internet.
- Full Text:
- Date Issued: 2013
A framework to mitigate phishing threats
- Authors: Frauenstein, Edwin Donald
- Date: 2013
- Subjects: Computer networks -- Security measures , Mobile computing -- Security measures , Online social networks -- Security measures
- Language: English
- Type: Thesis , Masters , MTech
- Identifier: vital:9832 , http://hdl.handle.net/10948/d1021208
- Description: We live today in the information age with users being able to access and share information freely by using both personal computers and their handheld devices. This, in turn, has been made possible by the Internet. However, this poses security risks as attempts are made to use this same environment in order to compromise the confidentiality, integrity and availability of information. Accordingly, there is an urgent need for users and organisations to protect their information resources from agents posing a security threat. Organisations typically spend large amounts of money as well as dedicating resources to improve their technological defences against general security threats. However, the agents posing these threats are adopting social engineering techniques in order to bypass the technical measures which organisations are putting in place. These social engineering techniques are often effective because they target human behaviour, something which the majority of researchers believe is a far easier alternative than hacking information systems. As such, phishing effectively makes use of a combination of social engineering techniques which involve crafty technical emails and website designs which gain the trust of their victims. Within an organisational context, there are a number of areas which phishers exploit. These areas include human factors, organisational aspects and technological controls. Ironically, these same areas serve simultaneously as security measures against phishing attacks. However, each of these three areas mentioned above are characterised by gaps which arise as a result of human involvement. As a result, the current approach to mitigating phishing threats comprises a single-layer defence model only. However, this study proposes a holistic model which integrates each of these three areas by strengthening the human element in each of these areas by means of a security awareness, training and education programme.
- Full Text:
- Date Issued: 2013
Log analysis aided by latent semantic mapping
- Authors: Buys, Stephanus
- Date: 2013 , 2013-04-14
- Subjects: Latent semantic indexing , Data mining , Computer networks -- Security measures , Computer hackers , Computer security
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: vital:4575 , http://hdl.handle.net/10962/d1002963 , Latent semantic indexing , Data mining , Computer networks -- Security measures , Computer hackers , Computer security
- Description: In an age of zero-day exploits and increased on-line attacks on computing infrastructure, operational security practitioners are becoming increasingly aware of the value of the information captured in log events. Analysis of these events is critical during incident response, forensic investigations related to network breaches, hacking attacks and data leaks. Such analysis has led to the discipline of Security Event Analysis, also known as Log Analysis. There are several challenges when dealing with events, foremost being the increased volumes at which events are often generated and stored. Furthermore, events are often captured as unstructured data, with very little consistency in the formats or contents of the events. In this environment, security analysts and implementers of Log Management (LM) or Security Information and Event Management (SIEM) systems face the daunting task of identifying, classifying and disambiguating massive volumes of events in order for security analysis and automation to proceed. Latent Semantic Mapping (LSM) is a proven paradigm shown to be an effective method of, among other things, enabling word clustering, document clustering, topic clustering and semantic inference. This research is an investigation into the practical application of LSM in the discipline of Security Event Analysis, showing the value of using LSM to assist practitioners in identifying types of events, classifying events as belonging to certain sources or technologies and disambiguating different events from each other. The culmination of this research presents adaptations to traditional natural language processing techniques that resulted in improved efficacy of LSM when dealing with Security Event Analysis. This research provides strong evidence supporting the wider adoption and use of LSM, as well as further investigation into Security Event Analysis assisted by LSM and other natural language or computer-learning processing techniques. , LaTeX with hyperref package , Adobe Acrobat 9.54 Paper Capture Plug-in
- Full Text:
- Date Issued: 2013