Making complex data simple and compelling
From digital device to digital evidence
Unlock your vehicle's digital evidence potential
Forensic Analysis and Enhancement
Investigating and analyzing financial records
Gain access to the online accounts of deceased loved ones
Clear, precise evidence for a messy world
Expert reports to suit your specific needs
We can locate people anywhere
Stop worrying and learn the truth
Prevent, Detect, Respond To Cyberattacks
First response is crucial. Every minute counts.
The first response is critical to reduce liability
Detection & Removing Spyware Services
Reduce your electronic risk from digital transmittals
Find out who you are really talking to
Experienced, Confidential Services
Swift, professional incident response
Complicated cases require compelling digital facts
Find, recover and document digital evidence
Bring solid evidence before a judge
Cases can be investigated using Social Media
Divorce, custody battles, and other
Win the most important battle of your life
Everything you need
Effective Expert Witness in Court
Evidence shows who is telling the truth
Subpoena power yields strong evidence
Digital evidence can build a strong defense
Go to court with compelling digital evidence
The vast majority of modern mobile malware targets Android devices. This made it necessary to investigate efforts in the analysis of malicious Android programs in recent years. An important task of malware analysis is the classification of malware.
This article presents the work in which are presented in the new methodology classify malicious Android software on their own families. The proposed approach is based on the dynamic analysis and use of indicators. This approach to classify malware with an accuracy of 82%. This is the result of the DroidScribe, the most modern work that is most connected with ours. However, this methodology has the following advantages:
– it is easier to reproduce, because only uses publicly available tools and does not require any modification of environment emulation or Android OS;
– the collected data can be collected on a physical device.
In the future, the authors of the plan to increase the number of indicators that can be achieved in the study. And also there are prerequisites for the sake of learning this online learning to reduce the time needed to update the classifier and, therefore, timely classify new families of malware.
Please enter the result of the calculation above.
Save my name, email, and website in this browser for the next time I comment.
Speak to a Specialist Now
Get Help Now