20 research outputs found
A Qualitative study of the effects of socio—organizational factors on the information security culture of employees in a financial institution
No full textInformation communication technology (ICT) is constantly evolving, it is currently used in virtually every aspect of human life, such as financial transactions. Due to its ongoing development, the internet serves as the basis for all service platforms. Financial institutions are responding to the development of ICT by following suit in an effort to improve services and maintain existing technology. Similarly, worldwide cybercrime has increased, resulting in financial losses. As a result, information security has become a pressing concern for any institution tasked with providing adequate services. Developing complex security methods that address people, processes, and technology is required to strike a balance between the technical and behavioural components of information security. This qualitative study will examine how socio-organizational factors can enhance employees’ attitudes toward information security culture at any financial institution. To fulfil the above aim, a qualitative methodology is utilised. Interviews (prior and main) and document analysis (Review & Analysis of Internal Materials in the banking sector of Nigeria) will be used to collect data. The Quota Sampling method is used in recruiting participants for interviews. With the assistance of academic experts, fellow researchers, and information security professional experts, the interview questions will be pretested. The Thematic analysis will be utilised to deduce occurrences, patterns, and use of concepts. Based on the analysis of data gathered from 38 top management of a financial institution, the study concludes that improving information security culture in any institution requires strong leadership, accountability, education/awareness/training/experience, commitment & trust, monitoring & internal control (audits), process integration, technology, permissible/institutional pressure, societal pressure, personal beliefs, values, and attitudes. The study expands on ’behavioural information security’, a crucial area of study. It bridges the gap in research most especially in Africa as it expands knowledge of information security by critically exploring human factors in the form of employees in the financial sector of a cross-cultural country Nigeria. From a theoretical perspective, the study presents socio-organizational factors that can enhance employees’ attitudes toward information security culture. From a practical perspective, it is a study which provides guideline for better articulation, formation, and implementation of an organisation’s Information security laws, policies, and procedures as well as to create a framework which can aid top management in recruiting. The usefulness of this thesis is not limited to the financial institution of Nigeria/Africa
Robotics cyber security issues
No full textRobotics is becoming more ubiquitous, and this technology has existed for almost a century and also keeps continuously evolving with better capabilities and advancements in an environment which includes both hardware and software. Nowadays, Robotics come in different shapes with different capabilities. These days, a robot can be small, and simple and still have increased performance and productivity. Additionally, this technology has become an essential component of daily life, and robotics automation usage cases have expanded from household utilities to medical, or space projects, defense, and education. Robotic functionalities are similar to computer systems running by a program that is defined to repeat tasks or operations. Moreover, they experience security problems that are comparable to those that computer systems have had for years. Hence, when robots are compromised, it immediately affects two different areas.: I. Physical elements may raise concern in three key aspects; integrity, confidentiality, and availability of the robot system’s operations and functions. It can also lead to attacks or hacks. I. Virtual security vulnerabilities can be found in provider platforms, misconfigurations, built-in weaknesses in robot systems, and risks in data communications channels. For instance, the WIFI connection may be designed with a poor encryption system. Therefore, both physical and virtual problems in robotics systems are part of cybersecurity in Robotics which is rapidly growing. In this case, the paper focuses on cybersecurity in Robotics and identifies security gaps, vulnerabilities, and risks
Methodologies to develop quantitative risk evaluation metrics
No full textThe goal of this work is to advance a new methodology to measure a severity cost for each host using the Common Vulnerability Scoring System (CVSS) based on base, temporal and environmental metrics by combining related sub-scores to produce a unique severity cost by modeling the problem's parameters in to a mathematical framework. We build our own CVSS Calculator using our equations to simplify the calculations of the vulnerabilities scores and to benchmark with other models. We design and develop a new approach to represent the cost assigned to each host by dividing the scores of the vulnerabilities to two main levels of privileges, user and root, and we classify these levels into operational levels to identify and calculate the severity cost of multi steps vulnerabilities. Finally we implement our framework on a simple network, using Nessus scanner as tool to discover known vulnerabilities and to implement the results to build and represent our cost centric attack graph
A parallel algorithm to calculate the costrank of a network
No full textWe developed analogous parallel algorithms to implement CostRank for distributed memory parallel computers using multi processors. Our intent is to make CostRank calculations for the growing number of hosts in a fast and a scalable way. In the same way we intent to secure large scale networks that require fast and reliable computing to calculate the ranking of enormous graphs with thousands of vertices (states) and millions or arcs (links). In our proposed approach we focus on a parallel CostRank computational architecture on a cluster of PCs networked via Gigabit Ethernet LAN to evaluate the performance and scalability of our implementation. In particular, a partitioning of input data, graph files, and ranking vectors with load balancing technique can improve the runtime and scalability of large-scale parallel computations. An application case study of analogous Cost Rank computation is presented. Applying parallel environment models for one-dimensional sparse matrix partitioning on a modified research page, results in a significant reduction in communication overhead and in per-iteration runtime. We provide an analytical discussion of analogous algorithms performance in terms of I/O and synchronization cost, as well as of memory usage
Achieving sustainability by rectifying challenges in IoT based smart cities
No full textIt has become mandatory for traditional cities to be converted into smart cities for the benefit of giving citizens a better lifestyle. The large amounts of people migrating towards smart cities has increased the requirements of a sustainable smart city with the assistance of cloud-based Internet of Things (IoT) devices such as active sensors and smartphones. When implementing these cloud applications that are IoT-based, there are several challenges including security and privacy of data in the devices, and satisfaction with the smart services provided. Previous research done revealed that the primary challenge was privacy and security, while current research emphasizes on the security of the smart devices, and the awareness and satisfaction of customers with them. In this paper, we used a qualitative and quantitative approach to attain sustainability. Under the qualitative analysis, we proposed a 5-Layer Smart City framework based on IoT, making use of various technologies such as fog computing, Artificial Intelligence, edge computing, Machine Learning, actuators, cloud computing, Deep Learning, sensors, etc. In the quantitative analysis, we carried out a smart city survey to gather knowledge about the citizens’ level of satisfaction and awareness. The study was carried out on a minimal scale because of limited resources and time; however, it still provides a possible solution to the issues encountered
The use of churn prediction to improve customer retention in grocery e-retailing
No full textAs retailers embrace the online shopping experience and technology advances, it is now also vital for retailers to pay attention to customer churn since it has a detrimental impact on the company's corporate development and reputation. To mitigate the negative effects of customer churn on grocery retail businesses, this study will look at how machine learning and deep learning churn prediction models are applied, as well as data analytical findings on customer retention. The implications of customer churn and how it impacts grocery businesses will be the subject of thorough research.Furthermore, an analysis of previously gathered data sets will reveal significant discoveries, customer preferences, and behaviours related to Churn.The study will examine how churn prediction affects a company's profitability, reputation, and operational efficiency.Following the study of the dataset, a thorough framework will be suggested with the main goal of proactive churn control, thereby limiting its effects on the overall growth of the company.This thesis aims to contribute to current efforts to improve corporate company growth by studying customer behavioural patterns most associated with churn and then suggesting solutions to the challenges
Mitigating postnatal depression: a big data self-Help therapy
No full textMother, who gives birth, usually face a mood disorder called postpartum or postnatal depression. It appears immediately after the third week of the
baby's birth. However, during the first year of delivery, women can suffer anytime with this situation, and it could lead to a couple of years after birth. Few
men as a father can face this condition. If it is not monitored immediately, it
triggers severe and permanent disorders such as anger issues, isolation, stress, or
anxiety. A significant increase has been observed in postpartum depression incidents with harmful consequences on children as well as parents regarding their
physical and emotional well-being. This research paper analysed the literature to
evaluate the psychotherapies that can be followed as self-help. We also evaluated
automated psychotherapy systems and meta-analysed mobile applications that
are available online to cope with postpartum depression. We discussed the acceptability of a therapeutic mobile application for reducing depression during
parenting and postpartum period, for the patients themselves. Finally, a combination of cognitive behavioural therapy and interpersonal psychotherapy, an algorithm; we proposed in this paper as a base to develop the mobile application
that can help control and reduce depression during a postpartum situation
