Digital Library

Search: "[ keyword: Malware ]" (8)
    A Study on the Malicious Web Page Detection Systems using Real-Time Behavior Analysis
    I Cksun Kong , Jae Ik Cho , Tae Shik Son , Jong Sub Moon The KIPS Transactions:PartC, Vol. 19, No. 3, pp. 185-190, Jun. 2012
    10.3745/KIPSTC.2012.19.3.185

    Packed PE File Detection for Malware Forensics
    Seung Won Han , Sang Jin Lee The KIPS Transactions:PartC, Vol. 16, No. 5, pp. 555-562, Oct. 2009
    10.3745/KIPSTC.2009.16.5.555

    A Study on the Cerber-Type Ransomware Detection Model Using Opcode and API Frequency and Correlation Coefficient
    Gye-Hyeok Lee, Min-Chae Hwang, Dong-Yeop Hyun, Young-In Ku, Dong-Young Yoo KIPS Transactions on Computer and Communication Systems, Vol. 11, No. 10, pp. 363-372, Oct. 2022
    https://doi.org/10.3745/KTCCS.2022.11.10.363
    Keywords: Ransomware, Cerber, opcode, API, Malware, Machine-Learning, Detection

    A Study on the Image-Based Malware Classification System that Combines Image Preprocessing and Ensemble Techniques for High Accuracy
    Kim Hae Soo, Kim Mi Hui KIPS Transactions on Computer and Communication Systems, Vol. 11, No. 7, pp. 225-232, Jul. 2022
    https://doi.org/10.3745/KTCCS.2022.11.7.225
    Keywords: Malware, Deep Learning, Image Preprocessing, Ensemble

    Distributed Processing System Design and Implementation for Feature Extraction from Large-Scale Malicious Code
    Hyunjong Lee, Seongyul Euh, Doosung Hwang KIPS Transactions on Computer and Communication Systems, Vol. 8, No. 2, pp. 35-40, Feb. 2019
    https://doi.org/10.3745/KTCCS.2019.8.2.35  
    Keywords: Distributed Processing System, Malware detection, feature extraction, Machine Learning

    Study on DNN Based Android Malware Detection Method for Mobile Environment
    Jinhyun Yu, In Hyuk Seo, Seungjoo Kim KIPS Transactions on Computer and Communication Systems, Vol. 6, No. 3, pp. 159-168, Mar. 2017
    10.3745/KTCCS.2017.6.3.159
    Keywords: Smartphone, Android, Malware Detection, Deep Learning

    A Research of Anomaly Detection Method in MS Office Document
    Sung Hye Cho, Sang Jin Lee KIPS Transactions on Computer and Communication Systems, Vol. 6, No. 2, pp. 87-94, Feb. 2017
    10.3745/KTCCS.2017.6.2.87
    Keywords: MS office, Anomaly Detection, Compound File Binary Format, Forensic

    Feature Selection with PCA based on DNS Query for Malicious Domain Classification
    KIPS Transactions on Computer and Communication Systems, Vol. 1, No. 1, pp. 55-60, Oct. 2012
    10.3745/KTCCS.2012.1.1.55

Forms



Category Search

Publications


Old Journals


Indexing


All publications of KTCCS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.

KTCCS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

Organization


Related Journals