Browsing Research Articles (Computer Science) by Type "Postprint Article"

Browsing Research Articles (Computer Science) by Type "Postprint Article"

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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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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, ...
  • 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 ...
  • FM+AM’09 : workshop on formal methods and agile methods 
    Gruner, Stefan (Springer, 2010-12)
    This workshop aimed at bringing two orthogonal viewpoints about development methods in software engineering together.We were seeking new contributions towards making formal software development faster, and rapid software ...
  • A fraud management system architecture for next-generation networks 
    Bihina Bella, M.A. (Madeleine Adrienne); Eloff, Jan H.P.; Olivier, Martin S. (Elsevier, 2009)
    This paper proposes an original architecture for a fraud management system (FMS) for convergent. Nextgeneration networks (NGNs), which are based on the Internet protocol (IP). The architecture has the potential to satisfy ...