Results 191 to 200 of about 97,198 (223)

A novel technique for ransomware detection using image based dynamic features and transfer learning to address dataset limitations. [PDF]

Sci Rep
Ferdous J, Islam R, Mahboubi A, Islam MZ.   +3 more
europepmc   +1 more source

Mathematical analysis of the dynamics of cyberattack propagation in IoT networks. [PDF]

PLoS One
AbuHour Y, Damrah S, DarAssi MH, Alqahtani Z, Almuneef A.   +4 more
europepmc   +1 more source

BERT ensemble based MBR framework for android malware detection. [PDF]

Sci Rep
Alsubaei FS, Almazroi AA, Atwa WS, Almazroi AA, Ayub N, Jhanjhi NZ.   +5 more
europepmc   +1 more source

Detecting malicious code variants using convolutional neural network (CNN) with transfer learning. [PDF]

PeerJ Comput Sci
Younas N, Riaz S, Ali S, Khan R, Ali F, Kwak D.   +5 more
europepmc   +1 more source

Designing A Pdf Malware Detection System Using Machine Learning

Salman Abdul Jabbaar Wiharja, Deden Pradeka, Wirmanto Suteddy   +2 more
openalex   +2 more sources

A Cybersecurity NER Method Based on Hard and Easy Labeled Training Data Discrimination. [PDF]

Sensors (Basel)
Ye L, Wu Y, Zhang H, Ge M.
europepmc   +1 more source

A Threat to Cyber Resilience : A Malware Rebirthing Botnet

, 2011
Murray Brand, Craig Valli, Andrew Woodward   +2 more
openalex   +1 more source

GEAAD: generating evasive adversarial attacks against android malware defense. [PDF]

Sci Rep
Ahmad N, Saleem Rana A, Jalil Hadi H, Bashir Hussain F, Chakrabarti P, Alshara MA, Chakrabarti T.   +6 more
europepmc   +1 more source

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Malware

2007
The Trojan horse can be used in cyber-warfare and cyber-terrorism, as recent attacks in the field of industrial espionage have shown. To coordinate methods of defence a categorisation of the threat posed by Trojan horses in the shape of a list of tuples is proposed.
Stefan Kiltz, Andreas Lang, Jana Dittmann   +2 more
openaire   +2 more sources