Sustainability, Digital Security, and Cyber Hygiene During the Covid-19 Pandemic
Yegen, Ceren
The COVID-19 Pandemic has affected and transformed the world since the end of 2019. In the pandemic process, individuals, along with health concerns, also carried concerns about getting true information and news or protecting their digital footprints and cyber security. So much so that the internet is in almost every stage of life. With the pandemic, there has been a transition to sustainable practices such as online shopping, banking, trade, business, and education models. At this point, the concept of cyber hygiene, which provides digital security as well as maintaining it, is important. It is also aimed to stay away from bad and dirty content and to be prepared against cyber attacks. Therefore, cyber hygiene is in a key position in digital security. Therefore, in this study, the concept...
Detection of Malware by Static Analysis Using Machine Learning Methods
Vuran, Nisa | Acı, Mehmet
The increase in cyber-attacks has also started to threaten the use of internet and information technologies. This situation emphasizes the importance of detecting malicious software that is responsible for cyber-attacks. Nowadays, there are studies on the development of machine learning methods for malicious software detection. Malicious software detectors are the primary tools in defense against malicious software. The quality of such a detector is determined by the techniques it uses. Malware analysis methods such as machine learning, deep learning, and static and dynamic analysis are among these techniques. This study presents malware analysis and classification techniques. For malware detection, well-known algorithms for machine learning including such K-Nearest Neighbors, Naive Bayes,...