Mobile malware threats (e.g., on Android) have recently become a real concern. In this paper, we evaluate the state-of-the-art commercial mobile anti-malware products for Android and test how resistant they are against various common obfuscation techniques (even with known malware). Such an evaluation is important for not only measuring the available defense against mobile malware threats but a...

In recent years, the security threats imposed by email-based malware, modeling the propagation analysis and prevention of email malware becomes a fundamental technique for predicting its potential damages and developing effective countermeasures. Compared to earlier versions of mail malware, modern email malware exhibits two new features. One is reinfection and another one is self-start. In rei...

Malware variants could be defined as malware that have similar malcious behavior. In this paper, a sequence alignment method, the method widely used in Bioinformatics, was used to detect malware variants. This method can find the common parts of Malware’s API call sequences, and these common API call sequences can be used to detect similar behaviors of malware variants. However, when a sequence...

This system detects the mobile malware by analyzing suspicious network activities through the traffic analysis. In our system, the detection algorithms which we are using are works as modules inside the Open Flow controller, and the security rules can be imposed in real time. Here, we are using new behavior-based anomaly detection system which is used for identifying meaningful deviations in a ...

This paper presents a threat to cyber resilience in the form of a conceptual model of a malware rebirthing botnet which can be used in a variety of scenarios. It can be used to collect existing malware and rebirth it with new functionality and signatures that will avoid detection by AV software and hinder analysis. The botnet can then use the customized malware to target an organization with an...

A malware is a program that has a malicious intent. Nowadays, attack from malwares is rising in alarming fashion and thousands of malwares are injected to the Internet. Malware authors use many techniques like obfuscation and packing to avoid detection. A number of techniques for malware detection are available and none of them able to detect all types of malwares. In this paper, a more efficie...

A malware is a program that has a malicious intent. Nowadays, attack from malwares is rising in alarming fashion and thousands of malwares are injected to the Internet. Malware authors use many techniques like obfuscation and packing to avoid detection. A number of techniques for malware detection are available and none of them able to detect all types of malwares. In this paper, a more efficie...

Anti-malware capabilities should be the most heavily weighted criterion when evaluating secure Web gateways (SWGs). Bidirectional protection (blocking inbound malware and analyzing outbound traffic to detect compromised endpoints) is critical. Organizations that need the most advanced security protection should evaluate solutions that use nonsignature-based techniques capable of detecting targe...

A recent report has shown that there are more than 5,000 malicious applications created for Android devices each day. This creates a need for researchers to develop effective and efficient malware classification and detection approaches. To address this need, we introduce DroidClassifier: a systematic framework for classifying network traffic generated by mobile malware. Our approach utilizes n...

Malware detection is one of the challenges to the modern computing world. Web mining is the subset of data mining used to provide solutions for complex problems. Web intelligence is the new hope for the field of computer science to bring solution for the malware detection. Web mining is the method of web intelligence to make web as an intelligent tool to combat malware and phishing websites. Ge...