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1609.03020
Cited By
Automated Dynamic Analysis of Ransomware: Benefits, Limitations and use for Detection
10 September 2016
D. Sgandurra
Luis Muñoz-González
Rabih Mohsen
Emil C. Lupu
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Papers citing
"Automated Dynamic Analysis of Ransomware: Benefits, Limitations and use for Detection"
32 / 32 papers shown
A Comprehensive Analysis of Machine Learning Based File Trap Selection Methods to Detect Crypto Ransomware
Mohan Anand Putrevu
Hrushikesh Chunduri
Venkata Sai Charan Putrevu
Sandeep K Shukla
182
3
0
13 Sep 2024
WannaLaugh: A Configurable Ransomware Emulator -- Learning to Mimic Malicious Storage Traces
Annual Haifa Experimental Systems Conference (AHES), 2024
Dionysios Diamantopolous
Roman Pletka
Slavisa Sarafijanovic
A. L. N. Reddy
Haris Pozidis
235
5
0
12 Mar 2024
Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks
Ehsan Nowroozi
Imran Haider
R. Taheri
Mauro Conti
AAML
286
38
0
05 Mar 2024
Cross-temporal Detection of Novel Ransomware Campaigns: A Multi-Modal Alert Approach
International Conference on Computing, Networking and Communications (ICNC), 2023
Sathvik Murli
Dhruv Nandakumar
P. Kushwaha
Cheng Wang
Christopher Redino
Abdul Rahman
Shalini Israni
Tarun Singh
Edward Bowen
214
2
0
01 Sep 2023
A Comparative Performance Analysis of Explainable Machine Learning Models With And Without RFECV Feature Selection Technique Towards Ransomware Classification
Rawshan Ara Mowri
Madhuri Siddula
Kaushik Roy
AAML
92
6
0
09 Dec 2022
Ransomware Classification and Detection With Machine Learning Algorithms
Computing and Communication Workshop and Conference (CC), 2022
Mohammad Masum
Md Jobair Hossain Faruk
Hossain Shahriar
Kai Qian
D. Lo
M. I. Adnan
216
83
0
02 Jul 2022
Leveraging Machine Learning for Ransomware Detection
Nanda Rani
S. Dhavale
80
11
0
04 Jun 2022
Crypto-ransomware detection using machine learning models in file-sharing network scenario with encrypted traffic
Expert systems with applications (ESWA), 2022
Eduardo Berrueta
D. Morató
E. Magaña
M. Izal
166
46
0
15 Feb 2022
A Survey on Ransomware: Evolution, Taxonomy, and Defense Solutions
ACM Computing Surveys (CSUR), 2021
Harun Oz
Ahmet Aris
A. Levi
A. S. Uluagac
326
251
0
11 Feb 2021
Avaddon ransomware: an in-depth analysis and decryption of infected systems
Computers & security (CS), 2021
Javier Yuste
S. Pastrana
80
26
0
09 Feb 2021
Peeler: Profiling Kernel-Level Events to Detect Ransomware
European Symposium on Research in Computer Security (ESORICS), 2021
Muhammad Ejaz Ahmed
Hyoungshick Kim
S. Çamtepe
Surya Nepal
191
34
0
29 Jan 2021
Review on the Security Threats of Internet of Things
International Journal of Computer Applications (IJCA), 2020
Prajoy Podder
Hossain Mondal
Subrato Bharati
Pinto Kumar
238
26
0
12 Jan 2021
RanStop: A Hardware-assisted Runtime Crypto-Ransomware Detection Technique
Nitin Pundir
M. Tehranipoor
Fahim Rahman
73
17
0
24 Nov 2020
Toward A Network-Assisted Approach for Effective Ransomware Detection
Tianrou Xia
Yuanyi Sun
Sencun Zhu
Z. Rasheed
Khurram Hassan-Shafique
61
2
0
28 Aug 2020
Ransomware in Windows and Android Platforms
Abdulrahman Alzahrani
A. Alshehri
Hani Alshahrani
Huirong Fu
AAML
69
7
0
12 May 2020
Towards a Resilient Machine Learning Classifier -- a Case Study of Ransomware Detection
Chih-Yuan Yang
R. Sahita
AAML
91
4
0
13 Mar 2020
Volenti non fit injuria: Ransomware and its Victims
Amir Atapour-Abarghouei
Stephen Bonner
A. Mcgough
207
6
0
19 Nov 2019
Neurlux: Dynamic Malware Analysis Without Feature Engineering
Asia-Pacific Computer Systems Architecture Conference (APCSAC), 2019
Chani Jindal
Christopher Salls
H. Aghakhani
Keith Long
Christopher Kruegel
Giovanni Vigna
300
71
0
24 Oct 2019
Ransomware Analysis using Feature Engineering and Deep Neural Networks
Arslan Ashraf
Abdul Aziz
Umme Zahoora
Muttukrishnan Rajarajan
Asifullah Khan
309
14
0
01 Oct 2019
A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation
Amir Atapour-Abarghouei
Stephen Bonner
A. Mcgough
202
8
0
19 Aug 2019
Portable, Data-Driven Malware Detection using Language Processing and Machine Learning Techniques on Behavioral Analysis Reports
E. Karbab
M. Debbabi
90
73
0
26 Dec 2018
Towards resilient machine learning for ransomware detection
Li-Wei Chen
Chih-Yuan Yang
Anindya Paul
R. Sahita
AAML
195
22
0
21 Dec 2018
Mitigation of Adversarial Attacks through Embedded Feature Selection
Ziyi Bao
Luis Muñoz-González
Emil C. Lupu
AAML
169
1
0
16 Aug 2018
Know Abnormal, Find Evil: Frequent Pattern Mining for Ransomware Threat Hunting and Intelligence
Sajad Homayoun
Ali Dehghantanha
Marzieh Ahmadzadeh
S. Hashemi
R. Khayami
126
173
0
06 Aug 2018
Leveraging Support Vector Machine for Opcode Density Based Detection of Crypto-Ransomware
James Baldwin
Ali Dehghantanha
88
55
0
27 Jul 2018
Leveraging Machine Learning Techniques for Windows Ransomware Network Traffic Detection
O. Alhawi
James Baldwin
Ali Dehghantanha
111
147
0
27 Jul 2018
Redundancy Coefficient Gradual Up-weighting-based Mutual Information Feature Selection Technique for Crypto-ransomware Early Detection
Future generations computer systems (FGCS), 2018
B. Al-rimy
M. A. Maarof
Syed Zainudeen Mohd Shaid
130
51
0
22 Jul 2018
The Evolution of Embedding Metadata in Blockchain Transactions
Tooba Faisal
N. Courtois
A. Serguieva
87
17
0
18 Jun 2018
Deep Learning Based Cryptographic Primitive Classification
Gregory D. Hill
X. Bellekens
108
16
0
25 Sep 2017
Machine Learning Approach for Detection of nonTor Traffic
Gregory D. Hill
X. Bellekens
Ephraim Iorkyase
Andrew W. Hamilton
Christos Tachtatzis
Robert C. Atkinson
177
13
0
29 Aug 2017
Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization
Luis Muñoz-González
Battista Biggio
Ambra Demontis
Andrea Paudice
Vasin Wongrassamee
Emil C. Lupu
Fabio Roli
AAML
496
680
0
29 Aug 2017
Software-Defined Networking-based Crypto Ransomware Detection Using HTTP Traffic Characteristics
Krzysztof Cabaj
Marcin Gregorczyk
W. Mazurczyk
151
170
0
24 Nov 2016
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