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Sisi Shao - IEEE Xplore Author Profile
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Sisi Shao

Publications
2
Citations
0
Publications by Year
20222025
Co-Authors:
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Sisi Shao

Affiliation

School of Internet of Things
Nanjing University of Posts and Telecommunications
Nanjing, China

Publication Topics

Biography

Sisi Shao received the master's degree from the Nanjing University of Posts and Telecommunications (NJUPT), in 2021. She is currently working towards the PhD degree with the School of Internet of Things, NJUPT. Her main research interests include cyberspace security, endogenous safety and mimic defense.(Based on document published on 7 February 2025).
Publications
2
Citations
0
Publications by Year
20222025
Co-Authors:
Show All Co-Authors (14)
Author's Published Works

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An Active Defense Adjudication Method Based on Adaptive Anomaly Sensing for Mimic IoT

Sisi Shao;Tiansheng Gu;Yijun Nie;Zongkai Ji;Fei Wu;Zhongjie Ba;Yimu Ji;Kui Ren;Guozi Sun

IEEE Transactions on Services Computing
Year: 2025 | Volume: 18, Issue: 1 | Journal Article |
Security issues in the Internet of Things (IoT) are inevitable. Uncertain threats, such as known vulnerabilities and backdoors exist within IoT, and traditional passive network security technologies are ineffective against uncertain threats. To address the above issues, we propose an active defense adjudication method based on adaptive anomaly sensing for mimic IoT. The method constructs a mimic I...Show More

An Active Defense Adjudication Method Based on Adaptive Anomaly Sensing for Mimic IoT

Sisi Shao;Tiansheng Gu;Yijun Nie;Zongkai Ji;Fei Wu;Zhongjie Ba;Yimu Ji;Kui Ren;Guozi Sun

Year: 2025 | Volume: 18, Issue: 1 | Journal Article |

FQCSpark: Efficient Spark-based Parallel Compression Algorithm for FASTQ Genome Sequences

Yimu Ji;Hu Fa;Haichang Yao;Sisi Shao;Mengxue Wu;Houzhi Fang;Qiang Liu;Shangdong Liu

2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
Year: 2022 | Conference Paper |
The rapid development of Next-Generation Sequencing (NGS) technologies has posed serious challenges to the storage and transmission of genomic data, and the bioinformatics community urgently needs efficient genome compression algorithms to support genome analysis. The existing acceleration approaches for genome compression algorithms are mostly multithreading and limited to a single machine, which...Show More

FQCSpark: Efficient Spark-based Parallel Compression Algorithm for FASTQ Genome Sequences

Yimu Ji;Hu Fa;Haichang Yao;Sisi Shao;Mengxue Wu;Houzhi Fang;Qiang Liu;Shangdong Liu

Year: 2022 | Conference Paper |

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