Results 31 to 40 of about 2,768,658 (208)
Enhancing File Entropy Analysis to Improve Machine Learning Detection Rate of Ransomware
IEEE Access, 2021 Cybersecurity is the biggest threat in the world. More and more people are used to storing personal data on a computer and transmitting it through the Internet. Cybersecurity will be an important issue that everyone continues to pay attention to.
Chia-Ming Hsu +4 more
doaj +1 more source
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
A Survey on Ransomware Malware and Ransomware Detection Techniques
International Journal for Research in Applied Science and Engineering Technology, 2022 Abstract: is a kind of malignant programming (malware) that takes steps to distribute or hinders admittance to information or a PC framework, for the most part by scrambling it, until the casualty pays a payoff expense to the assailant. As a rule, the payoff request accompanies a cutoff time.
openaire +1 more source
Detecting Android Locker-Ransomware on Chinese Social Networks
IEEE Access, 2019 In recent years, an increasing amount of locker-ransomware has been posing a great threat to the Android platform as well as users' properties. Locker-ransomware blackmails victims for ransom by compulsorily locking the devices.
Dan Su +3 more
doaj +1 more source
Detecting Ransomware with Honeypot Techniques [PDF]
2016 Cybersecurity and Cyberforensics Conference (CCC), 2016 Attacks of Ransomware are increasing, this form of malware bypasses many technical solutions by leveraging social engineering methods. This means established methods of perimeter defence need to be supplemented with additional systems. Honeypots are bogus computer resources deployed by network administrators to act as decoy computers and detect any ...
openaire +2 more sources
Open Repository for the Evaluation of Ransomware Detection Tools
IEEE Access, 2020 Crypto-ransomware is a type of malware that encrypts user files, deletes the original data, and asks for ransom to recover the hijacked documents. Several articles have presented detection techniques for this type of malware; these techniques are applied
Eduardo Berrueta +3 more
doaj +1 more source
Crypto-Ransomware Detection Through a Honeyfile-Based Approach with R-Locker
MathematicsRansomware is a group of malware that aims to make computing resources unavailable, demanding a ransom amount to return control back to users. Ransomware can be classified into two types: crypto-ransomware and locker ransomware. Crypto-ransomware employs
Xiang Fang +4 more
doaj +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
Elastic Shifts: I/O Sequence Patterns of Ransomware and Detection Evasion
IEEE AccessCyber-criminals frequently use crypto-ransomware to gain financial benefit by encrypting victims’ valuable digital assets, such as photos and documents.
Il Hyeon Ju, Huy Kang Kim
doaj +1 more source
ARS： research on proactive defense technology of ransomware based on file behavior
四川大学学报. 自然科学版, 2021 In order to reduce the loss caused by the attack of ransomware, this paper proposed a framework (AntiRansomware System, ARS) based on the family characteristics and the traditional malicious code detection technology.
TIAN Feng +3 more
doaj