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| Content Provider | Springer Nature Link |
|---|---|
| Author | Lee, Jeong Kyu Moon, Seo Yeon Park, Jong Hyuk |
| Copyright Year | 2016 |
| Abstract | Recently, indiscriminate ransomware attacks targeting a wide range of victims for monetary gains have become a worldwide social issue. In the early years, ransomware has used e-mails as attack method. The most common spreading method was through spam mail or harmful websites. In addition, social networking sites or smartphone messages are used. Ransomware can encrypt the user’s files and issues a warning message to the user and requests payment through bitcoin, which is a virtual currency that is hard to trace. It is possible to analyze ransomware but this has its limitations as new ransomware is being continuously created and disseminated. In this paper, we propose an enhanced ransomware prevention system based on abnormal behavior analysis and detection in cloud analysis system—CloudRPS. This proposed system can defend against ransomware through more in-depth prevention. It can monitors the network, file, and server in real time. Furthermore, it installs a cloud system to collect and analyze various information from the device and log information to defend against attacks. Finally, the goal of the system is to minimize the possibility of the early intrusion. And it can detect the attack quickly more to prevent at the user’s system in case of the ransomware compromises. |
| Starting Page | 3065 |
| Ending Page | 3084 |
| Page Count | 20 |
| File Format | |
| ISSN | 09208542 |
| Journal | The Journal of Supercomputing |
| Volume Number | 73 |
| Issue Number | 7 |
| e-ISSN | 15730484 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2016-07-25 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Ransomware Abnormal behavior Prevention system Intrusion detection Cloud Programming Languages, Compilers, Interpreters Processor Architectures Computer Science |
| Content Type | Text |
| Resource Type | Article |
| Subject | Theoretical Computer Science Information Systems Hardware and Architecture Software |
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