2 results listed
Internet of Things has entered our lives as many forms and devices and enabled us to connect even the smallest-size devices to the internet. This progression aided us by deploying sensors on the workspace we need, such as hospitals, buildings, all sort of vehicles, logistics, even automated manufacturing and factories. In terms of quantity, around 8 billion of sensors are connected to IoT systems by 2017. These sensors may be utilized in many ways, such as emergency reporting and data collecting. IoT mesh networks function not only in normal conditions, even in emergency situations such as climate disasters, fire, flood, earthquake, tsunami, war or terrorism-related nuclear, biological or chemical attacks or conventional attacks. Such circumstances cause mass panic and chaos resulting in serious consequences unless contained and controlled. In this study, we propose a conceptual design of a functioning prototype which has the operational ability to provide an auxiliary network connection, as well as detecting Internet of Things devices in the area of disaster, collecting IoT device info and providing a mobile WAN access to the user.
International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES
B.KAYMAZ
T.ERCAN
Nowadays risks related to information security are increasing each passing day. Both public enterprises and private sector are working on information security to provide information security. It is inevitable that the institutions must use the most appropriate methodology and tools for their own needs and legal responsibilities to provide information security. Particularly Personal Data Protection Law, the legal regulations and the development of cybersecurity risks oblige the public institutions and enterprises to establish information security management systems. In this study, methodology and tools covered under the Risk Management / Risk Assessment methodology and tools within the European Union Agency For Network and Information Security (ENISA)’s Threat and Risk Management studies are investigated. In the study, the seventeen methods and thirty one tools which are studied by ENISA on the inventory work are introduced on the basic level. The methods and tools are compared among themselves in different aspects such as the type of risk classification, the reference level, the definition of applicability, the lifecycle, the usage of them licensed.
International Conference on Cyber Security and Computer Science
ICONCS
N.YALÇIN
B.KILIÇ