Identifying parasitic malware as outliers by code clustering.
Saved in:
| Title: | Identifying parasitic malware as outliers by code clustering. |
|---|---|
| Authors: | Li, Hongcheng1,2, liangb@ruc.edu.cnlizhiwuyi@ruc.edu.cnowenlee@ruc.edu.cn, Huang, Jianjun1,2, hjj@ruc.edu.cn, Liang, Bin1,2, liangb@ruc.edu.cn, Shi, Wenchang1,2, baishilei@ruc.edu.cnwenchang@ruc.edu.cn, Wu, Yifang1,2, lizhiwuyi@ruc.edu.cn, Bai, Shilei1,2, baishilei@ruc.edu.cn |
| Source: | Journal of Computer Security; 2020, Vol. 28 Issue 2, p157-189, 33p |
| Database: | Applied Science & Technology Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 142299479 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Identifying parasitic malware as outliers by code clustering. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Li%2C+Hongcheng%22">Li, Hongcheng</searchLink><relatesTo>1,2</relatesTo>, <i>liangb@ruc.edu.cnlizhiwuyi@ruc.edu.cnowenlee@ruc.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Huang%2C+Jianjun%22">Huang, Jianjun</searchLink><relatesTo>1,2</relatesTo>, <i>hjj@ruc.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Liang%2C+Bin%22">Liang, Bin</searchLink><relatesTo>1,2</relatesTo>, <i>liangb@ruc.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Shi%2C+Wenchang%22">Shi, Wenchang</searchLink><relatesTo>1,2</relatesTo>, <i>baishilei@ruc.edu.cnwenchang@ruc.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Wu%2C+Yifang%22">Wu, Yifang</searchLink><relatesTo>1,2</relatesTo>, <i>lizhiwuyi@ruc.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Bai%2C+Shilei%22">Bai, Shilei</searchLink><relatesTo>1,2</relatesTo>, <i>baishilei@ruc.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Computer+Security%22">Journal of Computer Security</searchLink>; 2020, Vol. 28 Issue 2, p157-189, 33p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=142299479 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3233/JCS-191313 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 33 StartPage: 157 Titles: – TitleFull: Identifying parasitic malware as outliers by code clustering. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Hongcheng – PersonEntity: Name: NameFull: Huang, Jianjun – PersonEntity: Name: NameFull: Liang, Bin – PersonEntity: Name: NameFull: Shi, Wenchang – PersonEntity: Name: NameFull: Wu, Yifang – PersonEntity: Name: NameFull: Bai, Shilei IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 0926227X Numbering: – Type: volume Value: 28 – Type: issue Value: 2 Titles: – TitleFull: Journal of Computer Security Type: main |
| ResultId | 1 |