Volume 15, Issue 2, May-June 2024

Reviewing IoT Implementation in Pakistan’s Education Sector: Opportunities and Challenges
Pages: 1-6 (6) | [Full Text] PDF (283K)
Iqra Batool, Rimal Choudhry
Computer Science Department, University of Engineering and Technology, Lahore, Pakistan

Abstract -
The Internet of Things (IoT) is acting as a catalyst for educational change in Pakistan. IoT integration in education has a great impact on diverse stakeholders such as faculty, students, administrators, management, parents, government, policy makers, technology providers, community, society and NGOs. This study aims at reviewing the effects of IoT implications in the education sector of Pakistan. This paper provides comprehensive review related to opportunities of IoT which it gives to educational institutions and all the relevant stakeholders involved. This review paper also sheds the light on challenges that educational institutions, specifically in Pakistan, face when implementing IoT in their daily activities. Moreover, IoT is likely to impact classroom dynamics through the use of smart devices such as those that facilitate the real-time collection and analysis of data, aiding to personal teaching approach that complements the diverse learning needs and paces. On the administrative side, IoT helps in the efficient management of school resources, security, and energy consumption, which leads to cost reductions and improved educational outcomes. The benefits as well as the issues need to be covered together and this creates a balanced view that can guide all the stakeholders who are looking for IoT adoption in the education field.
 Index Terms - IoT in Education, Interactive Learning, Administrative Automation, Digital Divide, Privacy Concerns, Operational Efficiencies, Smart Devices, Resource Management and Cost Reductions
Fake News Detection System form Social Media Using Machine Learning Algorithm
Pages: 7-14 (8) | [Full Text] PDF (398K)
Simuel Ollunga, Achebe Wole
Department of Computer Science, State College of Education, Nigeria

Abstract -
The fake news detection from the collected dataset is an essential goal, which is conventional classification issue with straight forward hypothesis and then they are accumulated all into one place for users to see follow what is happening around them and their country, that’s where Web Aggregators comes into place. The suggested system collects information from various sites for user to access it in one place. Information processing is also done to for some individual parties. A system is required to be build that can distinguish between the actual & fake news. As developing a model to find out whether the given info which is vital is not an easy thing to do. This is mainly because any such algorithm’s training will require lots of computations. To accomplish this daunting task, we decided to use machine learning algorithm ,some classifiers and feature extraction. We begin by extracting features from passed on news. We will train a model using those extracted features. Our different types of classifiers will then be able toredict if a the given news is fake or not. The propose model will be compared with some results from a standard data set. We will keep on enhanced propose model untill it becomes good enough to work with real world data.
 Index Terms - Fake News Detection System, Machine Learning Algorithm, Dataset, Social Media and Comparision
Security Implications with IoT in Cloud Computing
Pages: 15-21 (7) | [Full Text] PDF (261K)
Ahmad Raza, Adnan Jamil, Muhammad Junaid
Computer Science Department, University of Engineering and Technology, Lahore, Pakistan

Abstract -
In light of the rapid expansion of IoT deployments and the increasing reliance on cloud services, understanding and addressing the security implications of IoT cloud integration have become paramount. The shift towards centralized storage and processing of IoT data in cloud environments offers scalability and flexibility but also exposes sensitive information to potential threats. Thus, it becomes imperative to analyze the security posture of IoT cloud architectures comprehensively. This paper explores how IoT devices and cloud systems work together, showing the weaknesses and ways attackers could target them.. Through a detailed examination of security challenges such as data breaches, unauthorized access, and inadequate encryption, the paper provides insights into the multifaceted nature of IoT cloud security. Moreover, it underscores the importance of proactive measures such as robust encryption protocols, access controls, and continuous monitoring to safeguard IoT deployments against evolving cyber threats. This paper aims to help stakeholders and practitioners make better decisions and take effective security measures to protect IoT ecosystems by enhancing their understanding of IoT cloud security dynamics.
 Index Terms - Cyber Threats, Hypervisors, IoT, Cloud Security, Isolation and Security
Securing Trust in the IoT: An Exploration of Reliability in Connected Systems
Pages: 22-27 (6) | [Full Text] PDF (287K)
Sana Parveen, Shazia Saeed
Department of Computer Science, University of Engineering and Technology, Lahore

Abstract -
The Internet of Things (IoT) represents a revolutionary paradigm to transform human society into an intelligent, convenient, and efficient entity, offers significant economic and environmental benefits. However, ensuring reliability stands out as a primary challenge that must be effectively addressed to realize the transformative potential of IoT fully. This article adopts a layered approach to the IoT architecture, identifying and examining reliability challenges associated with specific enabling technologies at each layer. Through a systematic synthesis and review of existing literature on IoT reliability, this article categorizes and reflects on reliability models and solutions across four crucial layers: perception, communication, support, and application. Despite the wealth of research conducted in this field, IoT reliability remains in its early stages of exploration. The article highlights challenging research problems and opportunities, shedding light on current underexplored aspects and anticipating future complexities and dynamics in evolving IoT systems.
 Index Terms - Reliability, Cloud Computing, Communication Reliability, Internet of Things (IoT) and Perception
A Study of Improving Lung Cancer Detection Using IoT Technology: A Review
Pages: 28-35 (8) | [Full Text] PDF (486K)
Aamir Abbas, Tooba Noreen
MSc Data Science, University of Engineering and Technology, Lahore

Abstract -
Cancer is becoming an alarming threat for the whole world, all types of cancers are dangerous but lung cancer is reaching its peak position because of having a low survival rate as compared to its death ratio. The main aim of this review is to identify various IOT technologies for the proper diagnosis of lung cancer along with which technology is performing better for lungs cancer identification nodules. Luckily, with advancement in healthcare industry there are various procedures, strategies, tools that are becoming very beneficial for reversing the survival and death proportions of lung cancer. In this review, a study is conducted for improving the diagnosis of the lung cancer by using IOT technology, death and survival rate of the patients from the lung cancer is included statistically, review paper comprised of previous studies for understanding numerous technologies, systems, limitations and future works deeply for the diagnosis of the lung cancer properly. A comprehension about MRI, CT scan, x-ray is also performed with the analysis of which technology is better for the lung cancer detection.
 Index Terms - IoT technology, CT Scan, MRI, X-Ray, Internet of Things, Lung Cancer and Detection of Lung Cancer
IoT Based System for Elders and People with Disabilities
Pages: 36-41 (6) | [Full Text] PDF (579K)
Sana Tariq, Esha Mehmood, Rabiya Sarwar
Department of Computer Science, University of Engineering and Technology, LHR

Abstract -
The Internet of Things (IoT) has developed rapidly, with a large number of enabling technologies being proposed. This has opened new doors for everyone, particularly for disabled individuals and the elderly, who can greatly benefit from modern technology in their daily lives, ultimately improving their overall quality of life. Various IoT applications have been developed across several domains, tailored to address specific challenges faced by individuals, including health issues, mental health, physical disorders, and sensory impairments such as hearing, smell, and vision impairments, among others. In this paper, we aim to address the challenges faced by older and disabled individuals, identifying their needs and reviewing IoT systems that can assist them in living independently. Finally, we discuss the challenges that need to consider for the IoT-based systems to make more reliable systems.
 Index Terms - Disable People, Challenges, IoT-Based System and Technology