Browsing Research Articles (Computer Science) by Title

Browsing Research Articles (Computer Science) by Title

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  • Congestion control in wireless sensor networks based on bird flocking behavior 
    Antoniou, Pavlos; Pitsillides, Andreas; Blackwell, Tim; Engelbrecht, Andries P.; Michael, Loizos (Elsevier, 2013)
    This paper proposes that the flocking behavior of birds can guide the design of a robust, scalable and self-adaptive congestion control protocol in the context of wireless sensor networks (WSNs). The proposed approach ...
  • A convergence proof for the particle swarm optimiser 
    Van den Bergh, Frans; Engelbrecht, Andries P. (IOS Pres, 2010)
    The Particle Swarm Optimiser (PSO) is a population based stochastic optimisation algorithm, empirically shown to be efficient and robust. This paper provides a proof to show that the original PSO does not have guaranteed ...
  • Co‐evolved genetic programs for stock market trading 
    Nicholls, Jason Frederick; Engelbrecht, Andries P. (Wiley, 2019-07)
    The profitability of trading rules evolved by three different optimised genetic programs, namely a single population genetic program (GP), a co‐operative co‐evolved GP, and a competitive co‐evolved GP is compared. Profitability ...
  • Critical considerations on angle modulated particle swarm optimisers 
    Leonard, Barend J.; Engelbrecht, Andries P.; Cleghorn, Christopher Wesley (Springer, 2015-12)
    This article investigates various aspects of angle modulated particle swarm optimisers (AMPSO). Previous attempts at improving the algorithm have only been able to produce better results in a handful of test cases. With ...
  • Cross-impact analysis experimentation using two techniques to revise marginal probabilities of interdependent events 
    Mphahlele, M.I.; Olugbara, O.O.; Ojo, S.O.; Kourie, Derrick G. (Operations Research Society of SA, 2011-03)
    Cross-impact analysis relies on decision makers to provide marginal probability estimates of interdependent events. Generally, these have to be revised in order to ensure overall system coherency. This paper describes ...
  • Cyber-security : identity deception detection on social media platforms 
    Van der Walt, Estee; Eloff, Jan H.P.; Grobler, Jacomine (Elsevier, 2018-09)
    Social media platforms allow billions of individuals to share their thoughts, likes and dislikes in real-time, without any censorship. This freedom, however, comes at a cyber-security risk. Cyber threats are more difficult ...
  • Data curation during a pandemic and lessons learned from COVID-19 
    Kraemer, Moritz U.G.; Scarpino, Samuel V.; Marivate, Vukosi; Gutierrez, Bernardo; Xu, Bo; Lee, Graham; Hawkins, Jared B.; Rivers, Caitlin; Pigott, David M.; Katz, Rebecca; Brownstein, John S. (Nature Research, 2021-01)
    Detailed, accurate data related to a disease outbreak enable informed public health decision making. Given the variety of data types available across different regions, global data curation and standardization efforts are ...
  • Database application schema forensics 
    Beyers, Hector Quintus; Olivier, Martin S.; Hancke, Gerhard P. (Computer Society of South Africa, 2014-12)
    The application schema layer of a Database Management System (DBMS) can be modi ed to produce results that do not re ect the data actually stored in the database. For example, table structures may be corrupted by changing ...
  • Deadlock-freeness of hexagonal systolic arrays 
    Gruner, Stefan; Steyn, T.J. (Elsevier, 2010-07)
    With the re-emergence of parallel computation for technical applications in these days also the classical concept of systolic arrays is becoming important again. However, for the sake of their operational safety, the ...
  • Decision-maker’s preference-driven dynamic multi-objective optimization 
    Adekoya, Adekunle Rotimi; Helbig, Marde (MDPI, 2023-10)
    Dynamic multi-objective optimization problems (DMOPs) are optimization problems where elements of the problems, such as the objective functions and/or constraints, change with time. These problems are characterized by two ...
  • Deep learning diagnostics of gray leaf spot in maize under mixed disease field conditions 
    Craze, Hamish A.; Pillay, Nelishia; Joubert, Fourie; Berger, David Kenneth (MDPI, 2022-07-26)
    Maize yields worldwide are limited by foliar diseases that could be fungal, oomycete, bacterial, or viral in origin. Correct disease identification is critical for farmers to apply the correct control measures, such as ...
  • Degrees of stochasticity in particle swarm optimization 
    Oldewage, E.T.; Engelbrecht, A.P.; Cleghorn, Christopher Wesley (Springer, 2019-12)
    This paper illustrates the importance of independent, component-wise stochastic scaling values, from both a theoretical and empirical perspective. It is shown that a swarm employing scalar stochasticity in the particle ...
  • Denoising diffusion post-processing for low-light image enhancement 
    Panagiotou, Savvas; Bosman, Anna (Elsevier, 2024-12)
    Low-light image enhancement (LLIE) techniques attempt to increase the visibility of images captured in low-light scenarios. However, as a result of enhancement, a variety of image degradations such as noise and color bias ...
  • Design of a hybrid command and control mobile botnet 
    Pieterse, Heloise; Olivier, Martin S. (Journal of Information Warfare, 2013)
    The increasing popularity and improvement in capabilities offered by smartphones caught the attention of botnet developers. Now the threat of botnets is moving towards the mobile environment. This study presents the design ...
  • Detecting manipulated smartphone data on Android and iOS devices 
    Pieterse, Heloise; Olivier, Martin S.; Van Heerden, Renier (Springer, 2019-01-25)
    Ever improving technology allows smartphones to become an integral part of people’s lives. The reliance on and ubiquitous use of smartphones render these devices rich sources of data. This data becomes increasingly important ...
  • Detecting zero-day intrusion attacks using semi-supervised machine learning approaches 
    Mbona, Innocent; Eloff, Jan H.P. (Institute of Electrical and Electronics Engineers, 2022-06-29)
    Recently, network intrusion attacks, particularly new unknown attacks referred to as zero-day attacks, have become a global phenomenon. Zero-day network intrusion attacks constitute a frequent cybersecurity threat, as they ...
  • Differential evolution for dynamic environments with unknown numbers of optima 
    Du Plessis, M.C. (Mathys Cornelius); Engelbrecht, Andries P. (Springer, 2013-01)
    This paper investigates optimization in dynamic environments where the numbers of optima are unknown or fluctuating. The authors present a novel algorithm, Dynamic Population DifferentialEvolution (DynPopDE),which is ...
  • 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, ...