Results 61 to 70 of about 5,693 (213)
Android Ransomware Detection From Traffic Analysis Using Metaheuristic Feature Selection
IEEE Access, 2022 Among the prevalent cyberattacks on Android devices, a ransomware attack is the most common and damaging. Although there are many solutions for detecting Android ransomware attacks, existing solutions have limited detection accuracy and high ...
Md. Sakir Hossain +7 more
doaj +1 more source
New Risks in Ransomware: Supply Chain Attacks and Cryptocurrency
, 2022 With the first attack dating back to 1989, ransomware is far from a new phenomenon. However, as of late, ransomware attacks have significantly changed in nature, becoming larger, more sophisticated, and more frequent.
Corcoran, Casey +2 more
core
Sensors, 2023 Nowadays, ransomware is considered one of the most critical cyber-malware categories. In recent years various malware detection and classification approaches have been proposed to analyze and explore malicious software precisely.
Iman Almomani +2 more
doaj +1 more source
Dynamics of Targeted Ransomware Negotiation
IEEE Access, 2022 In this paper, we consider how the development of targeted ransomware has affected the dynamics of ransomware negotiations to better understand how to respond to ransomware attacks.
Pierce Ryan +3 more
doaj +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
wiley +1 more source
Security Analysis of Key Acquiring Strategies Used by Cryptographic Ransomware [PDF]
, 2018 peer reviewedTo achieve its goals, ransomware needs to employ strong encryption, which in turn requires access to high-grade encryption keys. Over the evolution of ransomware, various techniques have been observed to accomplish the latter.
GENÇ, Ziya Alper +2 more
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Exploratory study on risk factors for ransomware attacks (full text only available in Dutch)
, 2022 Dit onderzoek heeft als doel het in kaart brengen en kwantificeren van factoren die ransomware-aanvallen beïnvloeden. Een tweede doelstelling is het bieden van inzicht in de mogelijkheden tot bewustwording onder bestuurders van middelgrote en kleine ...
Vos, A. +8 more
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Safeguarding the healthcare sector from ransomware attacks: insights from a literature review [PDF]
PeerJ Computer ScienceCybersecurity integrates a broad spectrum of concerns, addressing numerous cyber threats and malicious factors that pose significant risks to the system’s integrity and functionality.
Amna Shahzadi +7 more
doaj +2 more sources
A Crypto-Steganography Approach for Hiding Ransomware within HEVC Streams in Android IoT Devices
Sensors, 2022 Steganography is a vital security approach that hides any secret content within ordinary data, such as multimedia. This hiding aims to achieve the confidentiality of the IoT secret data; whether it is benign or malicious (e.g., ransomware) and for ...
Iman Almomani +2 more
doaj +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma +4 more
wiley +1 more source