ABSTRACT
The emergence and occurrence of COVID-19 pandemic has affected the lives of many people around the world, implementing different protocols to further prevent the spread of this deadly virus. Overcrowding is one of the common reasons for the spread of any virus or diseases. The researchers aim to create a system that monitors crowd density inside a building or infrastructure to avoid overcrowding. This system primarily utilizes ultrasonic sensors to detect entry and exit of an individual. The feedback will be sent to the user and the data will be used to effectively monitor the number of people inside the building. © 2022 ACM.
ABSTRACT
Most of the people nowadays use internet connection in their home, especially nowadays that most of the companies are forced to adapt to a Work from Home Basis due to the pandemic (Covid 19) to continue their business activities. This study assesses how vulnerable the default setting of SOHO Routers that the public/private telecommunication companies provide to their consumer. Furthermore, the study assesses how limited/outdated the protection of the router that is provided. This study uses a Kali Linux, a Debian-Based Linux used for Digital Forensics and Penetration Testing to test the vulnerability of the routers to network attacks. Network Attacks such as Deauthentication, Dictionary and Bruteforcing Attack, ARP Poisoning, etc. are performed to help identify threats that could compromise the network of the user and provide secure practices and solutions to help mitigate those kinds of attack. © 2021 ACM.