Department of Information Technology

Permanent URI for this collectionhttps://cris.hit.ac.zw/handle/123456789/20

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    Clustering West Nile Virus Spatio-temporal data using ST-DBSCAN
    (Procedia Computer Science, 2018-06-13) Chimwayi, K.B; Anuradha, J
    Spatio-temporal data mining has been the talk of the day due to high availability of spatio-temporal data from varied sources in diverse fields. Through many tracking devices, huge amounts of spatio-temporal data are being generated. In epidemiology, diseases, patterns and trends attached can be explored taking advantage of methods such as spatio-temporal clustering to discover new knowledge. In this paper Spatio-Temporal Density Based Spatial Clustering of Applications with Noise (ST-DBSCAN) is implemented and analysed on a public health dataset. Upon the implementation, results are analysed, loopholes spotted and a fuzzy version of ST-DBSCAN is proposed. The method is successfully applied to find spatio-temporal clusters in Chicago West Nile Virus (WNV) surveillance data for the period 2007 to 2017.The drawbacks in the original ST-DBSCAN are identified and solutions are proposed. ST-DBSCAN is an extension of the original Density Based Spatial Clustering of Applications with Noise (DBSCAN).
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    Securing patient data in the cloud using Attribute Based Encryption
    (International Journal of Scientific & Engineering Research, 2015-03-01) Subburaj, R; Hwata, C; Jekese, G
    Cloud computing has attracted attention worldwide in all industries, including the medical field leading to the rise of electronic healthcare systems. Although it has brought about an improvement in the provision of healthcare in terms of information management, it also poses a lot of security and privacy concerns to the patients. This is due to the fact that personal and highly sensitive data is outsourced to a third party (Cloud Service Provider) for processing and storage. This paper seeks to improve security of cloud-based patient data in healthcare organizations by employing a Ciphertext Policy Attribute Based Encryption (CP-ABE) scheme. The proposed scheme provides data confidentiality and allows the patient to control who accesses her personal health data by encrypting it under a specified access policy alongside with her key. It also provides collusion-resistance, flexible and immediate revocation of users who are no longer allowed to access a patient’s data.
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    Impact of Object Oriented Design Patterns on Software Development
    (International Journal of Scientific & Engineering Research, 2015-02-02) Subburaj, R.; Jekese, G; Hwata, C
    —Software design patterns are a bonanza for building large Object Oriented (OO) software systems. They provide well-tested and proven solutions to recurring problems that developers address. There are several benefits of using patterns. They can speed up the software development process. Design patterns consolidate learning with an aim to make it easier for designers to use well-known and successful designs developed from expert experience. At the same time software design patterns are too abstract and remain an art that has to be mastered over time with experience. This paper seeks to evaluate the advantages and disadvantages of design patterns.
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    Design of Application to Detect Images Embedded with Malicious Programs
    (International Journal of Science and Research (IJSR), 2013-06-14) Shoniwa, Robert T. R; George, Geogen
    In today’s world, malware can be propagated to victim systems in an increasingly diverse number of ways. One of these methods involves the passive distribution of malware by embedding in JPEG images which goes on to highlight that even simple images can be manipulated maliciously by criminals. The aim of this paper is to design an application that partially acts as a steganalysis tool to scan, detect and notify the user of the presence of a payload in either one or a set of selected images.it will then proceed to analyze the payload and verify whether it is a malicious program or not. It will also give a brief summarized file analysis of the detected payload. Ultimately, this will help highlight the need to consider images as a potential attack vector and then also offer a corresponding solution to this problem
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    Cloud Based SecuritySolution For Android Smartphones.
    (International Conference on Circuit, Power and Computing Technologies [ICCPCT], 2015-01-13) Marengereke, Munyaradzi. T
    In this paper, we define SIEM and we discuss Android security monitoring as well as recent research in Android security systems. Then, we propose a cloud based security system for collection, visualization, analysis and correlation of application logs, statistics and determining abnormal application and network behavior on the device. If abnormal behavior is detected an appropriate alert is sent back to the device for remedial action. In the case of abnormal network traffic, then firewall rules to be updated on an implementation of an IPTABLES/ NETFILTER firewall to block unwarranted network traffic. Furthermore a web interface is created to enable visualization of logs and all data collected from the device. So it serves as an intrusion mitigation solution coupled with security information audit web portal. This paper highlights the architecture of the proposed system.
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    Anti-forensic: Design and Implementation of an Android Forensic Analyzer
    (International Journal of Innovative Research in Science, Engineering and Technology, 2015-04-01) Mambodza, Walter. T.; Nagoor, M, A R
    In incident response the Computer Emergency Response Team (CERT) or Computer Incident Response Team (CIRT) investigates an incidence in order to have a detailed description on how a crime was conducted, who was responsible and ways of making sure that the incident will not happen in future. In order for an investigation to commence there is need for someone to report the incident. The forensic expert or investigator quarantines the crime scene, takes a photograph of the area and seizes the evidence in a forensically sound manner whilst preserving the integrity of data. The evidence media is taken to the forensic lab or workstation where an investigation is conducted. In most cases the investigator is qualified and skilled to perform the operation. The investigation process consists of two sub processes which are Data Collection and Data Analysis. Data collection is the process of acquiring the data that will assist in the investigation process for example through the use of Incident Response Toolkit. Data Analysis is the process of examining the collected data by using various forensic tools that follow the Association Chief of Police Officers (ACPO) principles in order to obtain results. The goals of information security are to protect the confidentiality, integrity and availability of data. Hackers compromise the information security and use anti- forensic techniques to make it difficult for investigators to detect and prove the existence and involvement in the crime. The aim of this paper is to design and implement an application that will provide a solution to some of the anti-forensic data hiding techniques.
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    Android Mobile Forensic Analyzer for Stegno Data
    (International Conference on Circuits, Power and Computing Technologies, 2015-01-30) Mambodza, Walter. T.; Nagoor, Meeran A.R
    The advancement of technology has led to better and improved service in mobile communication networks. Smartphones are being used by people for social networking, conducting business transactions as well as committing crime. Anti-Forensic compromises the availability of evidence to the forensic process causing problems to the investigator. The aim of this paper is to provide a solution to the anti-forensic technique of steganography by designing and implementation of an application that will scan, hash and analyze for any hidden information on an image, video or audio file on an android device and collect data for digital profiling or investigation.
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    A Survey on Applications of Internet of Things in Healthcare Domain
    (Research Journal of Pharmacy and Technology, 2017-08-05) Mugauri, Calvin; Aravind., K; Deshmukh, Apurva; Fulrani, Vhansure; Kavitha., B. R
    Internet of Things (IoT) in healthcare has gained tremendous appreciation as it has already improved the lives of millions of people worldwide. With the use of sensing devices, collecting data from different environments, devices, and equipment is now possible and appropriate decisions can be taken. Collected data is transferred over the network or internet and is able to be stored on the cloud or physical servers for analysis and future references. IoT has revolutionized the healthcare such that patients can be treated and monitored at the comfort of their homes without visiting the hospital.
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    Credit Scoring Techniques:A Survey
    (International Journal of Science and Research (IJSR), 2012-01-01) Mpofu, Thabiso Peter; Mukosera, Macdonald
    : Credit scoring is a numerical expression of the credit worthiness of an individual. A Value with a specific creditworthiness associated is assigned to an individual. Overall objective is to determine the creditworthiness of an individual. Ability of an individual to repay is determined in the credit scoring process. The credit scoring process looks at specific criteria such as income, credit history and many others. All this is done with the intent to reduce the overall default rate thereby decreasing the overall risk of financial institutions such as banks and micro lending institutions. Several credit scoring methodologies have been proposed and implemented and are varied from statistical based methods to Artificial Intelligence based techniques.
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    Artificial Immune Systems:A Predictive Model for credit scoring
    (International Journal of Scientific & Engineering Research, 2014-08-01) Mpofu, Thabiso Peter; Reddy, G Venkata Rami
    With the advent of the global financial crisis which hit the global economy, credit scoring has become of the essence. The global financial crisis also known as the “credit crunch” was largely attributed to the issuance of credit to individuals with no capacity to return the money. Credit scoring has become a very important task in the credit industry. Various credit scoring methods such in areas as artificial neural networks (ANNs), statistical based methods and decision trees have been proposed to increase the accuracy of credit scoring models. The proposed Artificial Immune Systems (AIS) are an artificial intelligence technique modelled on natural immune system processes have been used to solve various kinds of real life processes with success. In this paper we compare the performance of current classifiers used in credit rating against Artificial Immune Systems. Artificial Immune Systems have various algorithms used to implement them. The algorithm under consideration is the negative selection algorithm. Artificial Immune Systems (AIS) are found to be produce competitive results very close to traditional artificial intelligent systems such as Neural Network