Publications

Project Acronym: FuzzyBINVIS
Title: Malware Detection Through Fuzzy Binary Visualization and Deep Learning
Affiliation: democritus university of thrace
Pi: Basil Papadopoulos
Research Field: mathematics and computer science

SAGMAD – A Signature Agnostic Malware Detection System Based on Binary Visualisation and Fuzzy Sets
by Saridou, Betty, Rose, Joseph Ryan, Shiaeles, Stavros and Papadopoulos, Basil
Reference:
SAGMAD – A Signature Agnostic Malware Detection System Based on Binary Visualisation and Fuzzy Sets (Saridou, Betty, Rose, Joseph Ryan, Shiaeles, Stavros and Papadopoulos, Basil), In Electronics, volume 11, 2022.
Bibtex Entry:
@article{10.3390-electronics11071044,
 author = {Saridou, Betty and Rose, Joseph Ryan and Shiaeles, Stavros and Papadopoulos, Basil},
 title = {SAGMAD -- A Signature Agnostic Malware Detection System Based on Binary Visualisation and Fuzzy Sets},
 journal = {Electronics},
 volume = {11},
 year = {2022},
 bibyear = {2022},
 number = {7},
 article-number = {1044},
 url = {https://www.mdpi.com/2079-9292/11/7/1044},
 doi = {10.3390/electronics11071044},
}