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All Journal JOIV : International Journal on Informatics Visualization
Darus, Mohamad Yusof
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Computer Science & IT

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DDOS Attack Analysis on IoT Device for Smart Home Environment and A Proposed Detection Technique Ibrahim, Mohd Izwan; Darus, Mohamad Yusof
JOIV : International Journal on Informatics Visualization Vol 8, No 4 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.4.2175

Abstract

This study is grounded in a comprehensive review of literature on smart homes and Distributed Denial of Service (DDoS) attacks. To evaluate the defensive capabilities of pfSense and Suricata, a simulated Slowloris DDoS attack was performed on a smart home network, both with and without these security measures. Data was collected for each attack instance, followed by an analysis of the attack's effectiveness and the botnets' responses to refine DDoS assault strategies targeting smart home networks. The results revealed that the network was highly vulnerable without defense mechanisms, collapsing under the attack. In contrast, implementing pfSense and Suricata enabled swift detection and mitigation, neutralizing the attack within 15 seconds. Further testing involved five different scenarios, each assessing the ability of these systems to detect and block DDoS attacks. In all cases, the attacks were identified within 60 seconds. Attackers varied HTTP headers to flood IP-based cameras with packets ranging from 500 to 3000. The findings highlight the significant vulnerability of IoT devices in smart homes to cyber threats. However, deploying pfSense and Suricata proved to be a practical approach for detecting and mitigating DDoS attacks. The research underscores the importance of selecting high-quality hardware, evaluating IoT security features, and adopting proactive security practices to bolster smart home security.
Switching On/Off Air Conditioner and Fan Alternately based on IoT Motion Detection and Room Temperature Abdul Shukora, Nurul Hidayah; Ahmad Baidowi, Zaid Mujaiyid Putra; Mohd Isa, Mohd Rizal; Darus, Mohamad Yusof; Abdullah, Muhammad
JOIV : International Journal on Informatics Visualization Vol 8, No 3-2 (2024): IT for Global Goals: Building a Sustainable Tomorrow
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3-2.2721

Abstract

The Internet of Things (IoT) connects electrical appliances that enable data transfer for communication without human intervention. IoT has evolved, and its implementation has been extended to residential areas. It can be said that all residents use fans as cooling appliances. In Malaysia, having a fan is not sufficient due to its hot temperature throughout the year. Therefore, most of the residents use air conditioners as an additional cooling appliance. Using air conditioners regularly could contribute to high energy consumption. Furthermore, excessive energy consumption occurs when an occupant of a residential building forgets to switch off electrical appliances such as fans and air conditioners. In addition, leaving electrical appliances turning on when nobody is at home just wastes energy. This work aims to develop an IoT-based smart home controlling system for minimizing energy consumption. This system enables automatic control that depends on room temperature and motion detection. Various types of sensors, such as temperature sensor, humidity sensor, and motion sensor, are used to switch on/off the air conditioner and fan. The air conditioner and fan will be alternately switched on and off depending on the ideal room temperature. The testing results show a significant reduction in energy consumption and a promising decrease in the electricity bill. Future works should be focusing on determining the over limit energy consumption. On top of that, this research would be best to try on simulation to get better results.
Co-Authors Abdul Shukora, Nurul Hidayah Ahmad Baidowi, Zaid Mujaiyid Putra Ibrahim, Mohd Izwan Mohd Isa, Mohd Rizal Muhammad Abdullah