This protection software has evolved considerably in recent years. But Virus developers are typically one step ahead of the software, and new viruses get constantly released that software cannot detect. Detection is the foundation of this software. It’s occasionally possible to repair an infected file once found. If that isn’t possible, the file can get quarantined to prevent the viral code from being executed. The generic virus detection is insufficient for current and emerging viruses, necessitating the regular updating with new virus lists. Check out「Mac 防毒軟體推薦」三款實際使用過的防毒軟體評價 here.
Techniques of virus detection
Antivirus software employs some virus detecting methods. Antivirus software used to rely on signature-based detection to identify harmful software. Antivirus software relies on virus signatures, which are unique strings of data exclusive to recognized infections. These signatures get used by antivirus software to identify viruses that have already been recognized and studied by security specialists. If you’re seeking a way to install antivirus on a Mac, check out「Mac 防毒軟體推薦」三款實際使用過的防毒軟體評價 here.
Signature-based malware is incapable of detecting new malware or versions of current malware. When the definition file gets updated with information on a new virus, signature-based detection can identify it. Since 2011, the quantity of new malware signatures has increased at a rate of roughly 10 million per year, making antivirus software based exclusively on signatures unworkable. False-positive matches are uncommon with signature-based detection.
Heuristic-based detection compares known virus signatures to possible threats using an algorithm. Antivirus software that uses heuristic-based detection can detect both newly identified viruses and viruses that get disguised or updated and published as new viruses. When antivirus software finds a program that behaves similarly to a harmful program and wrongly classifies it as a virus, this strategy can result in false-positive matches.
Antivirus software can also utilize behavior-based detection to look for suspicious activities in an object’s behavior or projected behavior and infer harmful intent based on those observations.
