Гаврилова, Н. Л.2024-10-252024-10-252021Гаврилова, Н. Л. Virus detection algorithm – recognition strategy / Гаврилова Н. Л. // Інженерія програмного забезпечення і передові інформаційні технології (SoftTech-2021) : матеріали І Всеукраїнської науково-практичної конференції молодих вчених та студентів в секції інформатики та програмної інженерії (22–26 листопада 2021 р., Київ). – Київ : КПІ ім. Ігоря Сікорського, ІПІ ФІОТ, 2021. – С. 34-36. – Бібліогр.: 2 назви.https://ela.kpi.ua/handle/123456789/70145Although antivirus software has changed significantly over the past years, classical byte pattern signature matching is still the predominant concept for defining security, but other strategies for finding and detecting malicious software files are also used. It should be noted that malware is a serious problem for all users, from personal to corporate. Most devices today are connected to the Internet over networks. Consequently, malicious code can spread easily and quickly. The efficiency and speed of detecting harm on the network depends on the functions and algorithms for detecting. Hash functions simplify search and indexing in databases and other data storages, and accordingly they can do a good job of comparing any file with the database and test for its goodness. Hash tables is a popular data structure known for its fast response time, rely on a good hash function as an index to quickly find the block of data you need and return the result. It is about the hash recognition strategy that this article will be.envirus detectionhash-sumsArticleС. 34-36004.492.2