Results 141 to 150 of about 1,405 (158)

Mobile malware visual analytics and similarities of Attack Toolkits (Malware gene analysis)

2013 International Conference on Collaboration Technologies and Systems (CTS), 2013
We use Normalized Compression Distance (NCD) (owing to its capabilities to perform similarity measure of unstructured data) to enumerate code similarity between malicious Android apps and visualize their clusters. Our classification methods and visual analytics can help the antivirus community to ensure that a variant of a known malware can still be ...
Anand Paturi, Manoj Cherukuri, John Donahue, Srinivas Mukkamala   +3 more
openaire   +1 more source

Navigating and visualizing the malware intelligence space

IEEE Network, 2012
There is now a shift from traditional Cyber Security to Cyber Intelligence. We are only beginning to leverage the intelligence that can be extracted from the thousands of malware samples that are currently being gathered on a daily basis. By automatically creating analysis reports for each of these malware samples, it is possible to improve our ...
F. Massicotte, M. Couture, H. Normandin, M. Letourneau   +3 more
openaire   +1 more source

Neural Visualization of Android Malware Families

2016
Due to the ever increasing amount and severity of attacks aimed at compromising smartphones in general, and Android devices in particular, much effort have been devoted in recent years to deal with such incidents. However, scant attention has been devoted to study the interplay between visualization techniques and Android malware detection.
Alejandro González, Álvaro Herrero, Emilio Corchado   +2 more
openaire   +1 more source

Visual malware detection using local malicious pattern

Journal of Computer Virology and Hacking Techniques, 2018
In recent years, malware authors have had significant developments in offering new generations of malware and have tried to use different methods to make malware detection hard, so detecting malware has become one of the most important challenges for the security of computer systems.
Hashem Hashemi, Ali Hamzeh
openaire   +1 more source

Advanced 3D Visualization of Android Malware Families

2021
The number of attacks aimed at compromising smartphones in general, and Android devices in particular, is acknowledged as one of the main security concerns of these devices. Accordingly, a great effort has been devoted in recent years to deal with such incidents. However, scant attention has been paid to study the application of different visualization
Nuño Basurto, Héctor Quintián, Daniel Urda, José Luis Calvo-Rolle, Álvaro Herrero, Emilio Corchado   +5 more
openaire   +1 more source

Malware Classification using Malware Visualization and Deep Learning

2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), 2023
Prabhpreet Singh, null Priyanshu, Aruna Bhat   +2 more
openaire   +1 more source

Malware Visualization Based on Deep Learning

2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2021
Zhuojun Ren, Ting Bai
openaire   +1 more source

Windows Malware Hunting with InceptionResNetv2 Assisted Malware Visualization Approach

2023
Osho Sharma, Akashdeep Sharma, Arvind Kalia   +2 more
openaire   +1 more source

Visual Malware Classification Using Transfer Learning

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2021
Anavi Khetarpal, Abhishek Mallik
openaire   +1 more source

Classification of Malware Using Visualization Techniques

2021
Divyansh Chauhan, Harjot Singh, Himanshu Hooda, Rahul Gupta   +3 more
openaire   +1 more source