Comparing ML-Based Predictions and Static Analyzer Tools for Vulnerability Detection

被引：0
|
作者：
Department of Software Engineering, University of Szeged, Szeged, Hungary [1 ]
机构：
来源：
Lect. Notes Comput. Sci. | 1600年 / 92-105期
关键词：
Number:; ÚNKP-21-5-SZTE-570; Acronym:; MTA; Sponsor: Magyar Tudományos Akadémia; -; NKFIA; Sponsor: Nemzeti Kutatási; Fejlesztési és Innovaciós Alap; Sponsor: Innovációs és Technológiai Minisztérium;
D O I：
22nd International Conference on Computational Science and Its Applications , ICCSA 2022
中图分类号：
学科分类号：
摘要：
Static analysis
引用
收藏
相关论文
共 50 条
  • [21] ML-Based Detection of DDoS Attacks Using Evolutionary Algorithms Optimization
    Talpur, Fauzia
    Korejo, Imtiaz Ali
    Chandio, Aftab Ahmed
    Ghulam, Ali
    Talpur, Mir. Sajjad Hussain
    SENSORS, 2024, 24 (05)
  • [22] Smart Home Networks: Security Perspective and ML-based DDoS Detection
    Al Mtawa, Yaser
    Singh, Harsimranjit
    Haque, Anwar
    Refaey, Ahmed
    2020 IEEE CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE), 2020,
  • [23] An Analysis of ML-Based Outlier Detection from Mobile Phone Trajectories
    Pereira, Francisco Melo
    Sofia, Rute C.
    FUTURE INTERNET, 2023, 15 (01):
  • [24] Enhancing trustworthiness in ML-based network intrusion detection with uncertainty quantification
    Talpini, Jacopo
    Sartori, Fabio
    Savi, Marco
    Journal of Reliable Intelligent Environments, 2024, 10 (04) : 501 - 520
  • [25] Systematically Evaluating the Robustness of ML-based IoT Malware Detection Systems
    Abusnaina, Ahmed
    Anwar, Afsah
    Alshamrani, Sultan
    Alabduljabbar, Abdulrahman
    Jang, Rhongho
    Nyang, DaeHun
    Mohaisen, David
    PROCEEDINGS OF 25TH INTERNATIONAL SYMPOSIUM ON RESEARCH IN ATTACKS, INTRUSIONS AND DEFENSES, RAID 2022, 2022, : 308 - 320
  • [26] MOBIPCR: Efficient, accurate, and strict ML-based mobile malware detection
    Liu, Chuanchang
    Lu, Jianyun
    Feng, Wendi
    Du, Enbo
    Di, Luyang
    Song, Zhen
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2023, 144 : 140 - 150
  • [27] Data Cleansing With Minimum Distortion for ML-Based Equipment Anomaly Detection
    Hsieh, Yun-Che
    Chen, Chieh-Yu
    Liao, Da-Yin
    Lin, Kuan-Chun
    Chang, Shi-Chung
    IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, 2023, 36 (04) : 506 - 514
  • [28] To TTP or not to TTP?: Exploiting TTPs to Improve ML-based Malware Detection
    Sharma, Yashovardhan
    Giunchiglia, Eleonora
    Birnbach, Simon
    Martinovic, Ivan
    2023 IEEE INTERNATIONAL CONFERENCE ON CYBER SECURITY AND RESILIENCE, CSR, 2023, : 8 - 15
  • [29] Feature Selection Framework for Optimizing ML-based Malicious URL Detection
    Shah, Sajjad H.
    Garu, Amit
    Nguyen, Duong N.
    Borowczak, Mike
    2024 CYBER AWARENESS AND RESEARCH SYMPOSIUM, CARS 2024, 2024,
  • [30] Assessing Robustness of ML-Based Program Analysis Tools using Metamorphic Program Transformations
    Applis, Leonhard
    Panichella, Annibale
    van Deursen, Arie
    2021 36TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING ASE 2021, 2021, : 1377 - 1381
12345