Securing software development using developer access control
- Authors: Ongers, Grant
- Date: 2020
- Subjects: Computer software -- Development , Computers -- Access control , Computer security -- Software , Computer networks -- Security measures , Source code (Computer science) , Plug-ins (Computer programs) , Data encryption (Computer science) , Network Access Control , Data Loss Prevention , Google’s BeyondCorp , Confidentiality, Integrity and Availability (CIA) triad
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: http://hdl.handle.net/10962/149022 , vital:38796
- Description: This research is aimed at software development companies and highlights the unique information security concerns in the context of a non-malicious software developer’s work environment; and furthermore explores an application driven solution which focuses specifically on providing developer environments with access control for source code repositories. In order to achieve that, five goals were defined as discussed in section 1.3. The application designed to provide the developer environment with access control to source code repositories was modelled on lessons taken from the principles of Network Access Control (NAC), Data Loss Prevention (DLP), and Google’s BeyondCorp (GBC) for zero-trust end-user computing. The intention of this research is to provide software developers with maximum access to source code without compromising Confidentiality, as per the Confidentiality, Integrity and Availability (CIA) triad. Employing data gleaned from examining the characteristics of DLP, NAC, and Beyond- Corp—proof-of-concept code was developed to regulate access to the developer’s environment and source code. The system required sufficient flexibility to support the diversity of software development environments. In order to achieve this, a modular design was selected. The system comprised a client side agent and a plug-in-ready server component. The client side agent mounts and dismounts encrypted volumes containing source code. Furthermore, it provides the server with information of the client that is demanded by plug-ins. The server side service provided encryption keys to facilitate the mounting of the volumes and, through plug-ins, asked questions of the client agent to determine whether access should be granted. The solution was then tested with integration and system testing. There were plans to have it used by development teams who were then to be surveyed as to their view on the proof of concept but this proved impossible. The conclusion provides a basis by which organisations that develop software can better balance the two corners of the CIA triad most often in conflict: Confidentiality in terms of their source code against the Availability of the same to developers.
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- Date Issued: 2020
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
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- Date Issued: 2013