Results 21 to 30 of about 2,335 (206)

Analysis, Detection, and Prevention of Cryptographic Ransomware. [PDF]

, 2020
Cryptographic ransomware encrypts files on a computer system, thereby blocks access to victim’s data, until a ransom is paid. The quick return in revenue together with the practical difficulties in accurately tracking cryptocurrencies used by victims to perform the ransom payment, have made ransomware a preferred tool for cybercriminals.
GENÇ, Ziya Alper
openaire   +3 more sources

Majority Voting Approach to Ransomware Detection

CoRR, 2023
17 ...
Simon R. Davies, Richard Macfarlane, William J. Buchanan   +2 more
openaire   +3 more sources

Ransomware Detection Model Based on Adaptive Graph Neural Network Learning

Applied Sciences
Ransomware is a type of malicious software that encrypts or locks user files and demands a high ransom. It has become a major threat to cyberspace security, especially as it continues to be developed and updated at exponential rates. Ransomware detection
Jun Li, Gengyu Yang, Yanhua Shao
doaj   +2 more sources

An intelligent ransomware based cyberthreat detection model using multi head attention-based recurrent neural networks with optimization algorithm in IoT environment [PDF]

Scientific Reports
The rapid growth of the Internet of Things (IoT) and its extensive use in many regions, such as smart homes, healthcare, and vehicles, have made IoT security increasingly critical.
Sarah A. Alzakari, Mohammed Aljebreen, Nazir Ahmad, Asma A. Alhashmi, Sultan Alahmari, Othman Alrusaini, Ali M. Al-Sharafi, Wafa Sulaiman Almukadi   +7 more
doaj   +2 more sources

Enhancing ransomware defense: deep learning-based detection and family-wise classification of evolving threats [PDF]

PeerJ Computer Science
Ransomware is a type of malware that locks access to or encrypts its victim’s files for a ransom to be paid to get back locked or encrypted data. With the invention of obfuscation techniques, it became difficult to detect its new variants.
Amjad Hussain, Ayesha Saadia, Musaed Alhussein, Ammara Gul, Khursheed Aurangzeb   +4 more
doaj   +3 more sources

Ransomware Detection Dynamics: Insights and Implications

CoRR
The rise of ransomware attacks has necessitated the development of effective strategies for identifying and mitigating these threats. This research investigates the utilization of a feature selection algorithm for distinguishing ransomware-related and benign transactions in both Bitcoin (BTC) and United States Dollar (USD).
Nkongolo, Mike
openaire   +3 more sources

Adaptive secure malware efficient machine learning algorithm for healthcare data

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Malware software now encrypts the data of Internet of Things (IoT) enabled fog nodes, preventing the victim from accessing it unless they pay a ransom to the attacker. The ransom injunction is constantly accompanied by a deadline. These days, ransomware attacks are too common on IoT healthcare devices.
Mazin Abed Mohammed, Abdullah Lakhan, Dilovan Asaad Zebari, Karrar Hameed Abdulkareem, Jan Nedoma, Radek Martinek, Usman Tariq, Majed Alhaisoni, Prayag Tiwari   +8 more
wiley   +1 more source

User privacy prevention model using supervised federated learning‐based block chain approach for internet of Medical Things

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan, Mohammad Kamrul Hasan, Shayla Islam, Salwani Abdullah, Shailesh Khapre, Dalbir Singh, Abdulaziz A. Alsulami, Ali Alqahtani   +7 more
wiley   +1 more source

Personal HealthCare of Things: A novel paradigm and futuristic approach

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract This study provides an investigative approach and offers a complete review of research on Internet of Medical Things (IoMT), describing the progress in general and highlighting the research issues, trends, and future aspects of IoMT. Exploring a research strategy for IoMT systems is vital as the need for IoT in healthcare grows. By aggregating
Surbhi Gupta, Mohammad Shabaz, Ankur Gupta, Abdullah Alqahtani, Shtwai Alsubai, Isaac Ofori   +5 more
wiley   +1 more source

Utilizing Cyber Threat Hunting Techniques to Find Ransomware Attacks: A Survey of the State of the Art

IEEE Access, 2022
Ransomware is one of the most harmful types of cyber attacks that cause major concerns on a global scale. It makes the victims’ resources unusable by encrypting data or locking systems to extort ransom payments.
Fatimah Aldauiji, Omar Batarfi, Manal Bayousef   +2 more
doaj   +1 more source