Results 51 to 60 of about 2,335 (206)
Energy Science &Engineering, EarlyView.By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali +6 more
wiley +1 more source
The Effect of the Ransomware Dataset Age on the Detection Accuracy of Machine Learning Models
Information, 2023 Several supervised machine learning models have been proposed and used to detect Android ransomware. These models were trained using different datasets from different sources.
Qussai M. Yaseen
doaj +1 more source
Major Cybersecurity Breaches: Shaping Corporate Cybersecurity Policies and Closing the Gaps
Journal of Corporate Accounting &Finance, EarlyView.ABSTRACT As digitalization accelerates, cybercrime has intensified in both scale and impact over the past two decades. This study aims to critically examine major cybersecurity events, assess them through the lens of routine activity theory, examine insight from three other established criminological and organizational theories, and address central ...
Laura K. Rickett, Deborah Smith
wiley +1 more source
Hybrid-Based Analysis Impact on Ransomware Detection for Android Systems
Applied Sciences, 2021 Android ransomware is one of the most threatening attacks that is increasing at an alarming rate. Ransomware attacks usually target Android users by either locking their devices or encrypting their data files and then requesting them to pay money to ...
Rana Almohaini +2 more
doaj +1 more source
Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks
SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi +2 more
wiley +1 more source
Ransomware deployment methods and analysis: views from a predictive model and human responses
Crime Science, 2019 Ransomware incidents have increased dramatically in the past few years. The number of ransomware variants is also increasing, which means signature and heuristic-based detection techniques are becoming harder to achieve, due to the ever changing pattern ...
Gavin Hull, Henna John, Budi Arief
doaj +1 more source
The Age of Ransomware: A Survey on the Evolution, Taxonomy, and Research Directions
IEEE Access, 2023 The proliferation of ransomware has become a significant threat to cybersecurity in recent years, causing significant financial, reputational, and operational damage to individuals and organizations. This paper aims to provide a comprehensive overview of
Salwa Razaulla +6 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
A proposed Adaptive Pre-Encryption Crypto-Ransomware Early Detection Model [PDF]
, 2021 Crypto-ransomware is a malware that uses the system's cryptography functions to encrypt user data. The irreversible effect of crypto-ransomware makes it challenging to survive the attack compared to other malware categories.
Bander Ali Saleh Al-rimy +5 more
core +1 more source
Detecting Ransomware Execution in a Timely Manner
CoRR, 2022 12 Pages, 9 ...
Anthony Melaragno, William Casey
openaire +2 more sources