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Ping Luo 0004
Person information
- affiliation: Tsinghua University, Key Laboratory for Information System Security, Beijing, China
- affiliation: Tsinghua University, School of Software, Beijing, China
Other persons with the same name
- Ping Luo — disambiguation page
- Ping Luo 0001
— Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (and 1 more)
- Ping Luo 0002
- Ping Luo 0003
- Ping Luo 0005
- Ping Luo 0006
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2020 – today
- 2024
- [c10]Zhiwei Xu
DSFM: Enhancing Functional Code Clone Detection with Deep Subtree Interactions. ICSE 2024: 221:1-221:12 - 2022
- [j11]Junaid Akram, Danish Vasan, Ping Luo:
Obfuscated code is identifiable by a token-based code clone detection technique. Int. J. Inf. Comput. Secur. 19(3/4): 254-273 (2022) - [c9]Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, Dongmei Zhang:
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries. MSR 2022: 423-434 - [i2]Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, Dongmei Zhang:
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries. CoRR abs/2204.10232 (2022) - 2021
- [j10]Majid Mumtaz, Ping Luo:
An improved cryptanalysis of large RSA decryption exponent with constrained secret key. Int. J. Inf. Comput. Secur. 14(2): 102-117 (2021) - [j9]Gul Jabeen, Xi Yang, Ping Luo:
Vulnerability severity prediction model for software based on Markov chain. Int. J. Inf. Comput. Secur. 15(2/3): 109-140 (2021) - [j8]Junaid Akram, Majid Mumtaz, Gul Jabeen, Ping Luo:
DroidMD: an efficient and scalable Android malware detection approach at source code level. Int. J. Inf. Comput. Secur. 15(2/3): 299-321 (2021) - [j7]Junaid Akram
SQVDT: A scalable quantitative vulnerability detection technique for source code security assessment. Softw. Pract. Exp. 51(2): 294-318 (2021) - [c8]Majid Mumtaz, Ping Luo:
Cryptanalysis of a Special Case of RSA Large Decryption Exponent Using Lattice Basis Reduction Method. ICCCS 2021: 714-720 - 2020
- [j6]Junaid Akram
How to build a vulnerability benchmark to overcome cyber security attacks. IET Inf. Secur. 14(1): 60-71 (2020) - [j5]Majid Mumtaz
Remarks on the cryptanalysis of common prime RSA for IoT constrained low power devices. Inf. Sci. 538: 54-68 (2020) - [j4]Junaid Akram, Zhendong Shi, Majid Mumtaz, Ping Luo:
DroidSD: An Efficient Indexed Based Android Applications Similarity Detection Tool. J. Inf. Sci. Eng. 36(1): 13-29 (2020) - [j3]Junaid Akram
IBFET: Index-based features extraction technique for scalable code clone detection at file level granularity. Softw. Pract. Exp. 50(1): 22-46 (2020) - [c7]Dan Zhang, Ping Luo, Wei Tang, Min Zhou:
OSLDetector: Identifying Open-Source Libraries through Binary Analysis. ASE 2020: 1312-1315 - [i1]Majid Mumtaz, Ping Luo:
Cryptanalysis of RSA: A Special Case of Boneh-Durfee's Attack. IACR Cryptol. ePrint Arch. 2020: 1214 (2020)
2010 – 2019
- 2019
- [j2]Gul Jabeen
An improved software reliability prediction model by using high precision error iterative analysis method. Softw. Test. Verification Reliab. 29(6-7) (2019) - [c6]Majid Mumtaz
An RSA Based Authentication System for Smart IoT Environment. HPCC/SmartCity/DSS 2019: 758-765 - [c5]Junaid Akram
VCIPR: Vulnerable Code is Identifiable When a Patch is Released (Hacker's Perspective). ICST 2019: 402-413 - [c4]Gul Jabeen, Ping Luo, Junaid Akram
An Integrated Software Vulnerability Discovery Model based on Artificial Neural Network. SEKE 2019: 349-458 - [c3]Gul Jabeen, Ping Luo:
A Unified Measurable Software Trustworthy Model Based on Vulnerability Loss Speed Index. TrustCom/BigDataSE 2019: 18-25 - 2018
- [j1]Xi Yang, Gul Jabeen, Ping Luo, Xiaoling Zhu, Mei-Hua Liu
A Unified Measurement Solution of Software Trustworthiness Based on Social-to-Software Framework. J. Comput. Sci. Technol. 33(3): 603-620 (2018) - [c2]Junaid Akram
DroidCC: A Scalable Clone Detection Approach for Android Applications to Detect Similarity at Source Code Level. COMPSAC (1) 2018: 100-105 - [c1]Junaid Akram
DCCD: An Efficient and Scalable Distributed Code Clone Detection Technique for Big Code. SEKE 2018: 354-353
Coauthor Index
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