Malware detection employed by visualization and deep neural network

A Pinhero, ML Anupama, P Vinod, CA Visaggio… - Computers & …, 2021 - Elsevier
With the fast growth of malware's volume circulating in the wild, to obtain a timely and correct
classification is increasingly difficult. Traditional approaches to automatic classification suffer …

Drishti: an integrated indoor/outdoor blind navigation system and service

L Ran, S Helal, S Moore - Second IEEE annual conference on …, 2004 - ieeexplore.ieee.org
There are many navigation systems for visually impaired people but few can provide
dynamic interactions and adaptability to changes. None of these systems work seamlessly …

Classification of malware families based on runtime behaviors

A Pektaş, T Acarman - Journal of information security and applications, 2017 - Elsevier
Classification of malware samples plays a crucial role in building and maintaining security.
Design of a malware classification system capable of supporting a large set of samples and …

Malware classification based on API calls and behaviour analysis

A Pektaş, T Acarman - IET Information Security, 2018 - Wiley Online Library
This study presents the runtime behaviour‐based classification procedure for Windows
malware. Runtime behaviours are extracted with a particular focus on the determination of a …

Andro-simnet: Android malware family classification using social network analysis

HM Kim, HM Song, JW Seo… - 2018 16th Annual …, 2018 - ieeexplore.ieee.org
While the rapid adaptation of mobile devices changes our daily life more conveniently, the
threat derived from malware is also increased. There are lots of research to detect malware …

Extracting the representative API call patterns of malware families using recurrent neural network

I Kwon, EG Im - Proceedings of the international conference on …, 2017 - dl.acm.org
With thousands of malware samples pouring out every day, how can we reduce malware
analysis time and detect them effectively? Malware family classification provides one of …

Malware function classification using apis in initial behavior

N Kawaguchi, K Omote - 2015 10th Asia Joint Conference on …, 2015 - ieeexplore.ieee.org
Malware proliferation has become a serious threat to the Internet in recent years. Most of the
current malware are subspecies of existing malware that have been automatically generated …

Toward an automatic, online behavioral malware classification system

R Canzanese, M Kam… - 2013 IEEE 7th …, 2013 - ieeexplore.ieee.org
Malware authors are increasingly using specialized toolkits and obfuscation techniques to
modify existing malware and avoid detection by traditional antivirus software. The resulting …

Run-time classification of malicious processes using system call analysis

R Canzanese, S Mancoridis… - 2015 10th International …, 2015 - ieeexplore.ieee.org
This study presents a malware classification system designed to classify malicious
processes at run-time on production hosts. The system monitors process-level system call …

Metamorphic malicious code behavior detection using probabilistic inference methods

C Choi, C Esposito, M Lee, J Choi - Cognitive Systems Research, 2019 - Elsevier
Existing antivirus programs detect malicious code based on fixed signatures; therefore, they
have limitations in detecting metamorphic malicious code that lacks signature information or …