Browsing Research Articles (Computer Science) by Title

Browsing Research Articles (Computer Science) by Title

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  • Digital behavioral-fingerprint for user attribution in digital forensics : are we there yet? 
    Ikuesan, Adeyemi Richard; Venter, H.S. (Hein) (Elsevier, 2019-09)
    The need for a reliable and complementary identifier mechanism in a digital forensic analysis is the focus of this study. Mouse dynamics have been applied in information security studies, particularly, continuous authentication ...
  • Digital forensic application requirements specification process 
    Omeleze, Stacey; Venter, H.S. (Hein) (Taylor and Francis, 2019)
    The requirement to identify the cause of an incident, following the trail of events preceding an incident, as well as proving the consistency of the potential evidence recovered from the alleged incident, ultimately demand ...
  • A digital forensic readiness architecture for online examinations 
    Kigwana, Ivans; Venter, H.S. (Hein) (Computer Society of South Africa, 2018-07-10)
    Some institutions provide online courses to students to ease the courses’ workload. Online courses can also be convenient because the online course content management software conducts marking of tests and examinations. However, ...
  • Digital forensic readiness framework for ransomware investigation 
    Singh, Avinash; Ikuesan, Adeyemi Richard; Venter, H.S. (Hein) (Springer, 2019)
    Over the years there has been a significant increase in the exploitation of the security vulnerabilities of Windows operating systems, the most severe threat being malicious software (malware). Ransomware, a variant of ...
  • Digital forensic science : a manifesto 
    Olivier, Martin S. (Computer Society of South Africa, 2016-12)
    Most members of the public probably had a rather vague notion of forensic science until various TV shows — starting with CSI — carried an image of a forensic utopia into our living rooms on a weekly basis. In general we ...
  • Digital forensics and the big data deluge — some concerns based on Ramsey theory 
    Olivier, Martin S. (Springer, 2020-08)
    Constructions of science that slowly change over time are deemed to be the basis of the reliability with which scientific knowledge is regarded. A potential paradigm shift based on big data is looming – many researchers ...
  • Digital forensics supported by machine learning for the detection of online sexual predatory chats 
    Ngejane, C.H. (Hombakazi); Eloff, Jan H.P.; Sefara, T.J.; Marivate, Vukosi (Elsevier, 2021-03)
    Chat-logs are informative digital footprints available on Social Media Platforms (SMPs). With the rise of cybercrimes targeting children, chat-logs can be used to discover and flag harmful behaviour for the attention of ...
  • Discriminatory Gleason grade group signatures of prostate cancer : an application of machine learning methods 
    Mokoatle, Mpho; Mapiye, Darlington; Marivate, Vukosi; Hayes, Vanessa M.; Bornman, Maria S. (Riana) (Public Library of Science, 2022-06-09)
    One of the most precise methods to detect prostate cancer is by evaluation of a stained biopsy by a pathologist under a microscope. Regions of the tissue are assessed and graded according to the observed histological ...
  • Diverging deep learning cognitive computing techniques into cyber forensics 
    Karie, Nickson M.; Kebande, Victor Rigworo; Venter, H.S. (Hein) (Elsevier, 2019)
    More than ever before, the world is nowadays experiencing increased cyber-attacks in all areas of our daily lives. This situation has made combating cybercrimes a daily struggle for both individuals and organisations. ...
  • Diversity rate of change measurement for particle swarm optimisers 
    Bosman, Phlippie; Engelbrecht, Andries P. (Springer, 2014)
    The diversity of a particle swarm can reflect the swarm's explorative/exploitative behaviour at a given time step. This paper pro- poses a diversity rate of change measure to quantify the rate at which particle swarms ...
  • DNA sequence design for DNA computation based on binary particle swarm optimization 
    Ibrahim, Zuwairie; Khalid, Noor Khafifah; Buyamin, Salinda; Ibrahim, Ismail; Mukred, Jameel Abdulla Ahmed; Yusof, Zulkifli Md.; Mohamad, Mohd Saberi; Mokhtar, N.; Saaid, Muhammad Faiz Mohamed; Engelbrecht, Andries P. (ICIC International, 2012-05)
    Deoxyribonucleic Acid (DNA) has certain unique properties such as self- assembly and self-complementary in hybridization, which are important in many DNA- based technologies. DNA computing, for example, uses these ...
  • The effect of deep learning methods on deepfake audio detection for digital investigation 
    Mcuba, Mvelo; Singh, Avinash; Ikuesan, Richard Adeyemi; Venter, H.S. (Hein) (Elsevier, 2023)
    Voice cloning methods have been used in a range of ways, from customized speech interfaces for marketing to video games. Current voice cloning systems are smart enough to learn speech characteristics from a few samples and ...
  • Effek van ’n alternatiewe notasie op die begrip van wiskundige konsepte vir Graad 12 leerders 
    Du Plessis, Susanna H.; Pieterse, Vreda (AOSIS Open Journals, 2017)
    Mathematics is an important cornerstone to most forms of tertiary education and the quality of mathematics education an important determinant for a nation’s economic progress. We propose a study to determine the effect ...
  • Empirical evaluation of a process to increase consensus in group architectural decision making 
    Tofan, Dan; Galster, Matthias; Lytra, Ioanna; Avgeriou, Paris; Zdun, Uwe; Fouche, Mark-Anthony; De Boer, Remco; Solms, Fritz (Elsevier, 2016-04)
    CONTEXT : Many software architectural decisions are group decisions rather than decisions made by individuals. Consensus in a group of decision makers increases the acceptance of a decision among decision makers and their ...
  • Engineering applications of artificial intelligence : a bibliometric analysis of 30 years (1988–2018) 
    Shukla, Amit K.; Janmaijaya, Manvendra; Abraham, Ajith; Muhuri, Pranab K. (Elsevier, 2019-10)
    The Engineering Applications of Artificial Intelligence (EAAI) is a journal of very high repute in the domain of Engineering and Computer Science. This paper gives a broad view of the publications in EAAI from 1988–2018, ...
  • Evaluating usage control deterrents 
    Padayachee, Keshnee; Eloff, Jan H.P. (Computer Society of South Africa, 2012-06)
    This paper explores the effectiveness of usage control deterrents. Usage control enables finer-grained control over the usage of objects than do traditional access control models. Deterrent controls are intended to ...
  • Evolving behavioral specialization in robot teams to solve a collective construction task 
    Nitschke, G.S.; Schut, M.C.; Eiben, A.E. (Elsevier, 2012-02)
    This article comparatively tests three cooperative co-evolution methods for automated controller design in simulated robot teams. Collective Neuro- Evolution (CONE) co-evolves multiple robot controllers using emergent ...
  • Evolving robot sub-behaviour modules using Gene Expression Programming 
    Mwaura, Jonathan; Keedwell, Ed (Springer, 2015-05)
    Many approaches to AI in robotics use a multi-layered approach to determine levels of behaviour from basic operations to goal-directed behaviour, the most well-known of which is the subsumption architecture. In this ...
  • Extending backward polygon beam tracing of glossy scattering surfaces 
    Duvenhage, B.; Bouatouch, K.; Kourie, Derrick G. (Wiley-Blackwell, 2011)
    Backward polygon beam tracing methods, that is beam tracing from the light source (L), are well suited to gather path coherency from specular (S) scattering surfaces. These methods are useful for modelling and efficiently ...
  • Feature selection using Benford’s law to support detection of malicious social media bots 
    Mbona, Innocent; Eloff, Jan H.P. (Elsevier, 2022-01)
    The increased amount of high-dimensional imbalanced data in online social networks challenges existing feature selection methods. Although feature selection methods such as principal component analysis (PCA) are effective ...