Packer identification method based on byte sequences-Reference-Cited by-同舟云学术

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Packer identification method based on byte sequences

Published:2018-11-18 Issue:8 Volume:32 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Jung ByeongHo¹,Bae Seong Il¹,Choi Chang²^ORCID,Im Eul Gyu¹^ORCID

Affiliation:

1. Department of Computer ScienceHanyang University Seoul Republic of Korea

2. IT Research InstituteChosun University Gwangju Republic of Korea

Funder

Civil-Military Technology Cooperation Program

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5082

Reference37 articles.

1. OgielaMR OgielaL.On using cognitive models in cryptography. Paper presented at: IEEE 30th International Conference on Advanced Information Networking and Applications (AINA);2016;Crans‐Montana Switzerland.

2. ASPack.http://www.aspack.com

3. UPack.http://www.wex.cn/dwing

4. Classifying packed programs as malicious software detected;Osaghae EO;Analysis,2016

5. SunL VersteegS BoztaşS YannT.Pattern recognition techniques for the classification of malware packers. Paper presented at: Australasian Conference on Information Security and Privacy;2010;Sydney Australia.

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2. Enhanced Image-Based Malware Multiclass Classification Method with the Ensemble Model and SVM;Open Information Science;2024-01-01

3. A survey on run-time packers and mitigation techniques;International Journal of Information Security;2023-11-01

4. Leveraging Hardware Performance Counters for Efficient Classification of Binary Packers;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01

5. Detecting Malware Activities With MalpMiner: A Dynamic Analysis Approach;IEEE Access;2023

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