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Route Optimization for Sailing Vessels using Artificial Intelligence Techniques 5

Route Optimization for Sailing Vessels using Artificial Inte...

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5th International Conference on Computational Intelligence and Intelligent Systems, CIIS 2022

作者： Anderson, John M. Sithungu, Siphesihle P. Ehlers, Elizabeth M. Academy of Computer Science and Software Engineering University of Johannesburg South Africa

ISBN: (纸本)9781450397612

Sailing is not a new concept. The use of artificial intelligence (AI) within the field of sailing however is a relatively new concept. AI is being applied to a variety of different aspects within the field of sailing such as AI plotting unmanned vessels across the globe as well as in the optimization of racing vessels in a variety of prestigious regatta. This paper aims to explore the application of AI to the route creation and plotting aspect of AI in sailing, the objective being to create a system that efficiently assists sailors with their route creation within a complex environment. The approach used is through the creation of a model that uses an adapted A∗(star) search algorithm where the weightings of the heuristic values used better represent the costs associated with the complex environment the algorithm operates in. The environment devised in this paper is a combination of geographical and meteorological data and coordinates to create a semi-dynamic environment in which the system operates. The resulting system successfully creates optimized routes within the semi-dynamic environment devised by the system. © 2022 ACM.

关键词： Artificial intelligence

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Actor-Oriented Self-Organizing Maps: A novel distributed design for Self-Organizing Systems 22

Actor-Oriented Self-Organizing Maps: A novel distributed des...

引用

10th International Conference on computer and Communications Management, ICCCM 2022

作者： Thomas, Penelope Clara Coulter, Duncan Anthony Academy of Computer Science and Software Engineering University of Johannesburg South Africa

ISBN: (纸本)9781450396349

This paper explores the implementation of a distributed model of the Self-Organizing Map (SOM) and its subsequent validation through the implementation of a proof-of-concept prototype using the Typed-Akka tool kit. This work is a part of an on-going study into the intersection of the actor-model and SOMs following on from previous work on lattice initialization. A comprehensive software architecture model is given using various UML diagrams, specifically the behavioral and finite state-oriented aspects of the design are given using activity and state diagrams respectively. A parameter-study was conducted that focused specifically on the neighborhood definition function in the context of an actor-oriented SOM. © 2022 ACM.

关键词： Self organizing maps

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Towards an active cyber defence framework for smmes in developing countries 22

Towards an active cyber defence framework for smmes in devel...

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22nd European Conference on Cyber Warfare and Security, ECCWS 2023

作者： Ntingi, Nombeko Toit, Jaco Du Solms, Sebastian Von Academy of Computer Science and Software Engineering University of Johannesburg South Africa

ISBN: (纸本)9781914587702

Small, medium, and micro enterprises (SMMEs) are obliged to adopt digital technologies to render services to their clients and remain competitive. The COVID-19 global crisis has accelerated the cyberfication of systems and services. The move to digital platforms has afforded SMMEs opportunities to offer their services to a broader geographical area. However, this has also presented opportunities for cybercriminals to invade the digital infrastructure. Adopting digital transformation has put SMMEs in a vulnerable position since they need to manage their cybersecurity while lacking the necessary skills and ICT infrastructure. The inability of SMMEs to defend themselves against cyberattacks compels them to outsource their security needs to external security service providers. These external security service providers offer security services based on a hierarchical operating model. Essential security services are offered at a lower level. If the paying clients require advanced security services, they may be provided as an add-on to the contractual agreement resulting in additional cost. This paper explores the active cyber defence (ACD) approach to enhance cybersecurity defence while minimising service costs. Therefore, the primary objective and outcome of this paper are to identify some of the essential drivers that will contribute towards developing the active cyber defence framework for SMMEs in developing countries. For purposes of clarity, essential drivers are the gaps highlighted during the literature review and will be referred to as "essential drivers" throughout the paper. The essential drivers, together with suggested recommendations, will be consolidated. The essential drivers were drawn from existing literature by going through peer-reviewed academic papers and company whitepapers. To achieve the primary objective, we need to establish whether SMMEs are utilising the services of external security service providers. The external security service providers wi

关键词： Developing countries

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SupervisedImmuneNet: Training Artificial Immune Networks using a Supervised Learning Approach for Improved Multi-Class Classification 6

SupervisedImmuneNet: Training Artificial Immune Networks usi...

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6th International Conference on Computational Intelligence and Intelligent Systems, CIIS 2023

作者： Sithungu, Siphesihle Philezwini Ehlers, Elizabeth Marie Academy of Computer Science and Software Engineering University of Johannesburg South Africa

ISBN: (纸本)9798400709067

The most common application of artificial immune networks (AINs) is on unsupervised learning tasks. This is due to the fact that AINs are inspired by the adaptive immune system, which consists of a network of antibodies that self-organises to form a memory of external antigens. The self-organising nature of AINs makes them a natural approach for solving problems involving learning and adapting to patterns or structures present in a dataset to form an abstract representation. Training AINs in this fashion means that the dataset need not have class labels because the typical aim of the learning process is not to perform classification. However, there have been attempts to use AINs for classification tasks by considering the resulting clusters of antibodies as representative of the classes present in a dataset. This has also been done when applying AINs to the task of recognising handwritten characters. However, in all the approaches found in the literature, the common method was to leave the task of discovering classes to the AINs. Doing so is contrary to how other models are trained to do classification tasks where data samples are provided along with their class labels to guide the learning process. Therefore, this paper presents a novel supervised learning approach to training AINs for multi-class classification. The proposed approach was tested on the MNIST handwritten digits dataset and achieved a classification accuracy of 99.45%. © 2023 ACM.

关键词： Antibodies

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The identification of information sources to aid with Critical Information Infrastructure Protection

The identification of information sources to aid with Critic...

引用

2013 Annual Conference on Information Security for South Africa, ISSA 2013

作者： Mouton, Jean Ellefsen, Ian Academy of Computer Science and Software Engineering University of Johannesburg South Africa

ISBN: (纸本)9781479908080

Providing Critical Information Infrastructure Protection (CIIP) has become an important focus area for countries across the world with the widespread adoption of computer systems and computer networks that handle and transfer large amounts of sensitive information on a daily basis. Most large organisations have their own security teams that provide some form of protection against cyber attacks that are launched by cybercriminals. It is however often the case that smaller stakeholders such as schools, pharmacies and other SMEs might not have the required means to protect themselves against these cyber attacks. The distribution of relevant and focused information is an important part of providing effective protection against cyber attacks. In this paper some of the existing mechanisms and formats in which information related to software security vulnerabilities are provided to the public are discussed and reviewed. Providing focused and relevant information can enable smaller stakeholders such as SMEs that have a limited set of skills and expertise to limit their risk of exposure to cyber attacks. © 2013 IEEE.

关键词： Network security

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Towards a Smartphone User Competency Evolution Model

Towards a Smartphone User Competency Evolution Model

引用

2015 Annual Research Conference of the South African Institute of computer Scientists and Information Technologists, SAICSIT 2015

作者： Louw, Candice Von Solms, Sebastiaan Academy of Computer Science and Software Engineering University of Johannesburg South Africa

ISBN: (纸本)9781450336833

Over the past few years smartphones have evolved from being basic devices that support stock-standard, static Operating Systems (OSs) to powerful devices that are capable of running dynamic, customizable OSs. In turn, these OSs also support the installation of additional, mobile applications (apps) on the fly. With an increase in the number of apps that users may choose to install on their smartphones, the vulnerability of the information stored on the device potentially also increases as a result. This is due to the fact that cyber criminals are able to write apps that can often gain access to not only personal user information, but also sensitive organizational information stored on these smartphone devices. In this paper we have a look at smartphone OS trends over the past 5 years on both a global and a local scale. We subsequently identify Android as the top grossing OS in both scenarios making it the most popular OS in the world. We proceed with an investigation of various aspects relating to smartphone apps including a discussion on some of the official app distribution platforms (referred to as marketplaces), the problems experienced by marketplaces due to malicious apps being distributed and also the current techniques being employed in an attempt to minimize the publication of malicious apps. We continue our discussion on apps by looking at the typical process followed for downloading and also updating an app ' these are in turn used to form a complete user journey map of a generic app marketplace. Finally, we focus our attention to the smartphone user. By introducing the Smartphone User Competency Evolution (SUCE) model as well as the Smartphone Application User Security Competency Evolution (SAUSCE) model, we discuss the significance of determining an individual user's level of understanding and competence relating to the usage of their smartphone and the apps installed on it. We conclude by noting that the SAUSCE model could potentially aid individual us

关键词： Smartphones

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Personally identifiable information leakage through online social networks

Personally identifiable information leakage through online s...

引用

South African Institute for computer Scientists and Information Technologists: A Connected Society, SAICSIT 2013

作者： Louw, Candice Von Solms, Sebastiaan Academy of Computer Science and Software Engineering University of Johannesburg South Africa

ISBN: (纸本)9781450321129

Information sharing on the Internet has become a streamlined process through services such as e-mail, blogs and recently also Online Social Networks (OSNs). The speed of posting information in one central place and the convenience of this information reaching a vast audience at the same time is a great advantage of this style of communication, but at the same time also a danger. The aim of this article is thus to introduce a prototype software model that can analyse not only the Personally Identifiable Information (PII) that users share on OSNs, but with whom they share this. Such analysis will give users a good indication of how their private information is shared based on different settings within their OSN profiles. To successfully develop such a model, familiarity with the concepts of information sharing and PII is firstly investigated. Identifying information leakage within one of the most popular OSNs follows. In combination with our programming knowledge, a prototype model is introduced and an overview of preliminary results is given. Due to the generic nature of the model, we are able to visually introduce and explain the process of information deduction - an aspect of information sharing often overlooked due to its invisible nature. After analysing the information gathered from our model, we conclude that the immense popularity of Facebook on both a global and local scale contribute to its success, but at the same time make its users more prone to leak information and subsequently be the potential targets of cyber criminals. The ease, anonymity and borderless nature of the Internet in combination with the poor default security settings of our investigated OSN all contribute to the lucrative industry of cyber crime. Proper user awareness is crucial to preventing the leaking of any information in an online environment, but for many users this still equates to (a) PII in the sky.

关键词： Social networking (online)

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Jaccard Index in Ensemble Image Segmentation: An Approach 5

Jaccard Index in Ensemble Image Segmentation: An Approach

引用

5th International Conference on Computational Intelligence and Intelligent Systems, CIIS 2022

作者： Ogwok, Daniel Ehlers, Elizabeth Marie Academy of Computer Science and Software Engineering University of Johannesburg South Africa

ISBN: (纸本)9781450397612

Many methods have been applied to image segmentation, including unsupervised, supervised, and even deep learning-based models. Semantic and instance segmentation are the two most widely researched forms of segmentation. It is of value to use multiple methods to segment an image. In this paper, we present an image segmentation ensemble methodology. Multiple image segmentation methods are applied to an image and merged to create one segmentation using the proposed method. The technique uses the Jaccard index algorithm, sometimes called the Jaccard similarity coefficient and commonly known as Intersection over Union (IoU). This resulted in better segmentation results than the respective individual segmentation methods. This experiment was applied to mathematical expression recognition (MER), with the expressions taken from blackboards with varying degrees of noise, and lighting conditions, from different classroom environments. A summary of empirical results from the segmentation of multiple images is presented in the paper. © 2022 ACM.

关键词： Semantics

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Cheat Detection in a Multiplayer First-Person Shooter Using Artificial Intelligence Tools 3

Cheat Detection in a Multiplayer First-Person Shooter Using ...

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3rd International Conference on Computational Intelligence and Intelligent Systems, CIIS 2020

作者： Spijkerman, Ruan Marie Ehlers, Elizabeth Academy of Computer Science and Software Engineering University of Johannesburg South Africa

ISBN: (纸本)9781450388085

The use of cheating software in video games to gain an unfair advantage has required the use of anti-cheat software and deterrents such as account bans. Anti-cheat software is, however, always a step behind the opposition and as such new and innovative solutions are required. This paper considers AI driven tools as one such approach and compared decision trees, SVMs and Naïve Bayes classifiers in an attempt to classify cheating and honest player behaviour. The results of the research highlighted the potential for mouse dynamics as a measure of player behaviour, and decision trees as the most accurate detector of honest player behaviour. © 2020 ACM.

关键词： Decision trees

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A Cyber counterintelligence competence framework: Developing the job roles 22

A Cyber counterintelligence competence framework: Developing...

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22nd European Conference on Cyber Warfare and Security, ECCWS 2023

作者： Sithole, Thenjiwe Toit, Jaco Du Von Solms, Sebastian H. Academy of Computer Science and Software Engineering University of Johannesburg South Africa

ISBN: (纸本)9781914587702

In recent years, there have been intensifying cyber risks and volumes of cyber incidents prompting a significant shift in the cyber threat landscape. Both nation-state and non-state actors are increasingly resolute and innovative in their techniques and operations globally. These intensifying cyber risks and incidents suggest that cyber capability is inversely proportional to cyber risks, threats and attacks. Therefore, this confirms an emergent and critical need to adopt and invest in intelligence strategies, predominantly cyber counterintelligence (CCI), which is a multi-disciplinary and proactive measure to mitigate risks and counter cyber threats and cyber-Attacks. Concurrent with the adoption of CCI is an appreciation that requisite job roles must be defined and developed. Notwithstanding the traction that CCI is gaining, we found no work on a clear categorisation for the CCI job roles in the academic or industry literature surveyed. Furthermore, from a cybersecurity perspective, it is unclear which job roles constitute the CCI field. This paper stems from and expands on the authors prior research on developing a CCI Competence Framework. The proposed CCI Competence Framework consists of four critical elements deemed essential for CCI workforce development. In order of progression, the Framework s elements are: CCI Dimensions (passive-defensive, active-defensive, passive-offensive, active-offensive), CCI Functional Areas (detection, deterrence, deception, neutralisation), CCI Job Roles (associated with each respective Functional Area), and Tasks and Competences (allocated to each job role). Pivoting on prior research on CCI Dimensions and CCI Functional Areas, this paper advances a proposition on associated Job Roles in a manner that is both intelligible and categorised. To this end, the paper advances a five-step process that evaluates and examines Counterintelligence and Cybersecurity Job Roles and functions to derive a combination of new or existing Job Role

关键词： Cybersecurity

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