Threat of mobile malware is increasing day by day. Since Android is the most popular and maximum sold mobile phone, there is an increasing threat of malware on Android based mobile device. The different antimalware products available in market can detect the malware in its original form. But they cannot detect the malware after applying some form of obfuscation or transformation to the malware....

The web is experiencing an explosive growth in the last years. New technologies are introduced at a very fast-pace with the aim of narrowing the gap between web-based applications and traditional desktop applications. The results are web applications that look and feel almost like desktop applications while retaining the advantages of being originated from the web. However, these advancements c...

With the constantly increasing use of mobile devices, the need for effective malware detection algorithms is constantly growing. The research presented in this paper expands upon previous work that applied machine learning techniques to the area of Android malware detection by examining Java API call data as a method for malware detection. In addition to examining a new feature, a significant a...

According to the Symantec and F-Secure threat reports, mobile malware development in 2013 and 2014 has continued to focus almost exclusively (∼99%) on the Android platform. Malware writers are applying stealthy mutations (obfuscations) to create malware variants, thwarting detection by signature based detectors. In addition, the plethora of more sophisticated detectors making use of static anal...

Malware analysis is a process to perform analysis of malware and how to study the components and behavior of malware. On this paper it will use two methods of malware analysis, static analysis and dynamic analysis. Static analysis is a method of malware analysis which done without running the malware. While dynamic analysis is a method of malware analysis which the malware is running in a secur...

Recently, the attack trends have been changed from fast and widespread malware propagation attacks to more sophisticated “targeted” attacks such as spy/adware, password stealers, ransom-ware, and botenets etc. and the attacks are tried via the automated malwares. In this situation, the malware is the most powerful weapon for the attackers. So, the attackers do not want their malwares to be revi...

Android malware has been on the rise in recent years due to the increasing popularity of Android and the proliferation of third party application markets. Emerging Android malware families are increasingly adopting sophisticated detection avoidance techniques and this calls for more effective approaches for Android malware detection. Hence, in this paper we present and evaluate an n-gram opcode...

Android OS experiences a blazing popularity since the last few years. This predominant platform has established itself not only in the mobile world but also in the Internet of Things (IoT) devices. This popularity, however, comes at the expense of security, as it has become a tempting target of malicious apps. Hence, there is an increasing need for sophisticated, automatic, and portable malware...