Results 11 to 20 of about 2,768,658 (208)

Ransomware early detection: A survey

Computer Networks
In recent years, ransomware attacks have exploded globally, and it has become one of the most significant cyber threats to digital infrastructure. Such attacks have been targeting ranging from individuals to critical infrastructure or large organizations
Mingcan Cen, Xingsheng Qin, Qinghong Jiang   +2 more
exaly   +3 more sources

Behaviour Based Ransomware Detection [PDF]

EPiC Series in Computing, 2019
Ransomware is an ever-increasing threat in the world of cyber security targeting vulnerable users and companies, but what is lacking is an easier way to group, and devise practical and easy solutions which every day users can utilise.In this paper we look at the different characteristics of ransomware, and present preventative techniques to tackle ...
Christopher Jun-Wen Chew, Vimal Kumar 0001   +1 more
openaire   +4 more sources

Ransomware Detection and Classification Strategies [PDF]

2022 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), 2022
9 pages, 2 ...
Aldin Vehabovic, Nasir Ghani, Elias Bou-Harb, Jorge Crichigno, Aysegül Yayimli   +4 more
openaire   +4 more sources

AI-Based Ransomware Detection: A Comprehensive Review

IEEE Access
Ransomware attacks are becoming increasingly sophisticated, thereby rendering conventional detection methods less effective. Recognizing this challenge, this study reviews advanced detection mechanisms and explores the potential of artificial ...
Jannatul Ferdous, Rafiqul Islam, Arash Mahboubi, Md Zahidul Islam   +3 more
doaj   +2 more sources

Cryptographic ransomware encryption detection: Survey [PDF]

Computers & Security, 2023
The ransomware threat has loomed over our digital life since 1989. Criminals use this type of cyber attack to lock or encrypt victims' data, often coercing them to pay exorbitant amounts in ransom. The damage ransomware causes ranges from monetary losses paid for ransom at best to endangering human lives.
Kenan Begovic, Abdulaziz Al-Ali 0001, Qutaibah M. Malluhi   +2 more
openaire   +6 more sources

Blockchain security for ransomware detection [PDF]

CoRR
This manuscript was submitted to the journal TELKOMNIKA (https://www.scopus.com/sourceid/21100256101). Title: "Interpretable machine learning for ransomware detection". Status: Under review. Dataset and code available at Mike Nkongolo Wa Nkongolo (2023). UGRansome dataset. Kaggle. https://www.kaggle.com/dsv/7172543 [Accessed 23 July 2024].
Elodie Ngoie Mutombo, Mike Wa Nkongolo
core   +5 more sources

Majority Voting Approach to Ransomware Detection [PDF]

CoRR, 2023
17 ...
Simon R. Davies, Richard Macfarlane, William J. Buchanan   +2 more
core   +4 more sources

Majority Voting Ransomware Detection System [PDF]

, 2023
Crypto-ransomware remains a significant threat to governments and companies alike, with high-profile cyber security incidents regularly making headlines.
Davies, Simon R., William J. Buchanan, Buchanan, William J., Macfarlane, Rich, Simon R. Davies, Richard Macfarlane   +5 more
core   +1 more source

Ransomware Early Detection Method Based on Deep Learning [PDF]

Jisuanji kexue, 2023
In recent years,ransomware is becoming increasingly prevalent,causing serious economic losses.Since files encrypted by ransomware are difficult to recover,how to timely and accurately detect ransomware is a hot point nowadays.To improve the timeliness ...
LIU Wenjing, GUO Chun, SHEN Guowei, XIE Bo, LYU Xiaodan
doaj   +1 more source

Ransomware Detection Using the Dynamic Analysis and Machine Learning: A Survey and Research Directions

Applied Sciences, 2021
Ransomware is an ill-famed malware that has received recognition because of its lethal and irrevocable effects on its victims. The irreparable loss caused due to ransomware requires the timely detection of these attacks. Several studies including surveys
Umara Urooj, Bander Ali Saleh Al-rimy, Anazida Zainal, Fuad A. Ghaleb, Murad A. Rassam   +4 more
doaj   +1 more source