Browsing by Author "Saad Ahmed"

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    IDS for IoT environment using machine learning techniques
    (UMT, Lhr, 2023) Khuram Dildar; Saad Ahmed; Arham Ali
    The Internet of Things (IoT) is a technology that is experiencing rapid growth. It involves connecting billions of smart objects and sensors to the Internet for the purpose of collecting data from the physical environment. However, the presence of security vulnerabilities in IoT-based systems creates a significant threat to smart environment applications. Due to the high volume, variety, and high speed of data generated in the network, traditional techniques for detecting attacks are often inadequate. This leads to a crucial need for robust security mechanisms or intrusion detection systems (IDSs) designed for IoT environments to mitigate security attacks that exploit these vulnerabilities. An IDS is a system that monitors and analyzes data to detect intrusions in the system or network. Our primary objective is to construct an IDS system that uses machine-learning models to detect various types of attacks and adapt to their changing nature. The Decision Tree Algorithm is the chosen method for this system, as it provides 99% accurate results with low false-positive and false-negative rates. We have evaluated the effectiveness of this system using a real-world IoT dataset. It is essential to establish a robust security mechanism or IDS for IoT environments to address security threats effectively. By utilizing machine-learning models such as the Decision Tree Algorithm, the proposed IDS system can detect various types of attacks and adapt to their changing nature. It is hoped that this system will provide a high level of security and be effective in mitigating security attacks that exploit the vulnerabilities of IoT-based systems
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    Reduction in rejection rate of garment at master textile through implementation of six sigma
    (University of Management and Technology, 2014) Umar Farooq; Adeel Ahmad; Saad Ahmed; Iqbal Nisar
    Due to global competition it becomes impossible for an organization to earn profits without reducing the rejection rate of the manufactured products. Rejection rate of any product plays a very important role for customer satisfaction and financial conditions of any company. Rejection rate causes a direct effect on profit margin of a product and decreases the quality of a product. Therefore the companies are struggling to reduce their rejection rate during the process of manufacturing through different quality tools, checking and inspection during different operations and implementing changes and strict quality checks where more defects are produced. High rejection rate of garments due to different number of defects during sewing is the major problem faced by Master textile mills. This project is very important from industry point of view because high rejection rate is creating customer dissatisfaction and financial loss to organization. Reduction in rejection rate is the project in which it is successfully attempted to prompt-out root causes along with a number of factors by adopting Six Sigma methodology. It was decided to implement DMAIC methodology in sewing department where high rejection rate stitched garment was recorded. This research presents a comprehensive study which focuses on the implementation of Six Sigma. The main aim of this study is to introduce DMAIC process of Six Sigma. The problem was identified practically in garments manufacturing industry in research. It was then measured to identify the extent of the problem so that it can be eliminated or reduced. Potential causes of problem was identified in the analyze phase. Finally, a pilot production run was made in order to make sure that the improvements being made does actually work and in control phase the work being doni previous phases properly implemented and sustained for providing the desired results. The statistical work for the project was done using Microsoft Excel 2010 and Smart Draw .After that an optimum solution was suggested along with the areas of improvement which reduced rejection rate and provided a significant financial benefit.