Detection of Malicious Data Using Hybrid of Classification and Clustering Algorithms Under Data Mining
In today era modern infrastructures and technologies are more prone to various types of accesses. A method that is commonly used for launching these types of attack is popularly known as malware i.e. viruses, Trojan horses and worms, which, when propagate can cause a great damage to commercial companies, private users and governments. The another reason that enhance malware to infect and spread very rapidly is high-speed Internet connections as it has become more popular now-a-days, therefore it is very important to eradicate and detect new (benign) malware in a prompt manner.