A Framework for Supporting Ransomware Detection and Prevention Based on Hybrid Analysis

Alfredo Cuzzocrea; Francesco Mercaldo; Fabio Martinelli

doi:10.1007/978-3-030-86970-0_2

Conference Papers Year : 2021

A Framework for Supporting Ransomware Detection and Prevention Based on Hybrid Analysis

(1, 2) , (3) ,

1
2
3

Alfredo Cuzzocrea

Function : Author

Istituto di Calcolo e Reti ad Alte Prestazioni [Rende]

Department of Algorithms, Computation, Image and Geometry

Francesco Mercaldo

Function : Author

University of Sannio [Benevento]

Fabio Martinelli

Function : Author

Domains

Computer Science [cs]

Maira Nassau : Connect in order to contact the contributor

https://hal.univ-lorraine.fr/hal-03352387

Submitted on : Thursday, September 23, 2021-10:42:57 AM

Last modification on : Monday, September 11, 2023-5:41:19 PM

Dates and versions

hal-03352387 , version 1 (23-09-2021)

Identifiers

HAL Id : hal-03352387 , version 1
DOI : 10.1007/978-3-030-86970-0_2

Cite

Alfredo Cuzzocrea, Francesco Mercaldo, Fabio Martinelli. A Framework for Supporting Ransomware Detection and Prevention Based on Hybrid Analysis. ICCSA 2021: Computational Science and Its Applications –, Sep 2021, Cagliari, Italy. pp.16-27, ⟨10.1007/978-3-030-86970-0_2⟩. ⟨hal-03352387⟩

Export

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

CNRS INRIA UNIV-LORRAINE LORIA LORIA-ALGO LUE-UL IMPACT-DIGITRUST ANR

46 View

0 Download

A Framework for Supporting Ransomware Detection and Prevention Based on Hybrid Analysis

Domains

Dates and versions

Identifiers

Cite

Export

Collections

Altmetric

Share