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In recent years, the number of Internet of Things (IoT) devices has expanded fast, transforming various industries such as healthcare, manufacturing, and transportation, and delivering benefits to both individuals and industries. However, the increased use of IoT devices has exposed IoT ecosystems to a slew of security risks and digital forensic issues. This thesis investigates the most common IoT security dangers and attacks, as well as students' understanding of them and mitigation techniques, as well as the key issues involved with IoT forensic investigations. In this thesis, a mixed-method approach is used, combining a literature review and a survey investigation. The poll measures students' understanding of IoT security threats, mitigation approaches, and perceptions of the most effective ways to improve IoT security. In addition, the survey underlines the importance of user training and awareness in minimizing IoT dangers, highlighting the most effective strategies, such as stronger regulations and increased device security by manufacturers. The literature review provides a complete overview of the most popular IoT security risks and attacks, including malware, malicious code injection, replay attacks, Man in the Middle (MITM), botnets, and Distributed Denial of Service (DDoS). This paper also emphasizes the definition and process of digital and IoT forensics, the significance of IoT forensics, and various data sources in IoT ecosystems. The key issues of IoT forensics and how they affect the efficiency of digital investigations in the IoT ecosystem are thoroughly investigated. Overall, the findings of this study contribute to ongoing research to improve IoT device security, emphasize the necessity of greater awareness and user training, and address the issues of IoT forensic investigations. 

This report will discuss the importance of network security. Network Security is important because it prevents hackers from gaining access to data and personal information. The issue in society is that users get their data stolen every day and are scared that their information is blasted out to the world. Within this paper I will talk to you about the importance of network security and how it can change your day-to-day life using cyber security. In addition, I will create a survey for computer science majors to see if network security is important. Also, I will send a survey to a DISA employee to get his perspective on this topic and his comments as well. The best method to incorporate both user input and research into this paper is to use user input to back up the research. User input will be a great addition because it gives the readers a real-world opinion on if this topic is valid. 

This report will discuss the impact of COVID-19 on cybersecurity. This report also discusses cyber threats in the home office, the healthcare and public health (HPH) sector in attackers’ sight, and the rise of COVID-themed phishing attacks targeted towards remote workers and internet users. Tips on mitigating cyber risk will also be touched upon. This study utilizes surveys conducted to identify the effects this ongoing pandemic has had on businesses and people. 

This report will discuss and analyze the risks and different challenges which are accompanied when completing remote work and learning. Specifically, this paper will focus on this trends’ effect, during the 2019 Coronavirus pandemic (COVID-19). The different applications that will be included in this research are Slack, Zoom, Skype, Microsoft Teams, Google Meets, Trello, Webex, and Troop Messenger. In recent months, there has been a complete increase in the amount of people worldwide that use these platforms. However, the majority of users do not fully understand security and privacy when using these different platforms. Due to this lack of knowledge, this comes with an increase in attacks. This study will further discuss the different pros and cons of each of the different platforms (mentioned above); the applications that have been breached, how often they were breached, different flaws, vulnerabilities of each system and more. This study coherently uses and assesses its credibility with the assistance of research, a user survey, and past research studies on this topic. 

With the increased use of machine learning models, there is a need to understand how machine learning models can be maliciously targeted. Understanding how these attacks are ‘enacted’ helps in being able to ‘harden’ models so that it is harder for attackers to evade detection. We want to better understand object detection, the underlying algorithms, different perturbation approaches that can be utilized to fool these models. To this end, we document our findings as a review of existing literature and open-source repositories related to Computer Vision and Object Detection. We also look at how Adversarial Patches impact object detection algorithms. Our objective was to replicate existing processes in order to reproduce results to further our research on adversarial patches. 

This research serves as a broad examination of the different threats and attacks against the IoT architecture. This research analyzes the different layers of the IoT architecture and the cyber attacks that threaten them each. Intrusion detection systems provide a means of protection against various attacks. Hence substantiating the proposal of a host-based signature type intrusion detection system utilizing the semi-Markov process for IoT devices in a smart home environment. The semi-Markov chain could potentially prove as an effective means to acutely identify behavioral anomalies associated with nodes within an IoT environment. 

This report discusses Digital Forensics and Cyber-Security and different vulnerabilities that put the users at risk of compromising their sensitive data and making it available to attackers. With the raising of new threats aiming at technology, some people are not aware of hackers stealing their data. This study will discuss what Cyber-Security is and how many people are aware of what it all entails. This study will also recommendations on how to recognize attacks and learn basic terms to help inform the public. The study utilizes surveys of students from Hampton University so the authors can make the proper analysis and recommendations regarding the issue.