Suchergebnisse - Stack overflow prevention method

Prevention Method for Stack Buffer Overflow Attack in TA Command Calls in OP-TEE

Autoren: Kaito Shiba Hiroki Kuzuno Toshihiro Yamauchi

Quelle: 2023 Eleventh International Symposium on Computing and Networking Workshops (CANDARW). :274-278

Prevention Method for Stack Buffer Overflow Attack in TA Command Calls in OP-TEE.

Autoren: Kuzuno, Hiroki Yamauchi, Toshihiro Shiba, Kaito

Index Begriffe: Trusted execution environment, Stack overflow prevention method, System security, Conference Paper., AM.

URL: https://ousar.lib.okayama-u.ac.jp/68934
https://doi.org/10.1109/candarw60564.2023.00052

Prevention Method for Stack Buffer Overflow Attack in TA Command Calls in OP-TEE

Quelle: Prevention Method for Stack Buffer Overflow Attack in TA Command Calls in OP-TEE. :274-278

Fine-Grained Modeling of ROP Vulnerability Exploitation Process under Stack Overflow Based on Petri Nets.

Autoren: Zhang, Liumei Zhang, Wei Wang, Yichuan et al.

Quelle: Electronics (2079-9292); Dec2023, Vol. 12 Issue 23, p4741, 15p

Schlagwörter: PETRI nets, COMPUTER security vulnerabilities

Understanding developer challenges and trends in web accessibility: a stack overflow analysis.

Autoren: Alghamdi, Asmaa Mansour Aljedaani, Wajdi Jalali, Hamed et al.

Quelle: Universal Access in the Information Society; Jun2025, Vol. 24 Issue 2, p1701-1717, 17p

Schlagwörter: WEB accessibility, UNIVERSAL design, DIGITAL media, VISION disorders, EMPIRICAL research

Evolution and differentiation of the cybersecurity communities in three social question and answer sites: A mixed-methods analysis.

Autoren: Wu, Muting Aranovich, Raul Filkov, Vladimir

Quelle: PLoS ONE; 12/31/2021, Vol. 16 Issue 12, p1-30, 30p

Schlagwörter: INTERNET security, COMMUNITIES, FINANCIAL markets, INTERNET forums, STOCK exchanges, COMPUTER crime prevention

Firma/Körperschaft: REDDIT Inc.

IRePf: An Instruction Reorganization Virtual Platform for Kernel Stack Overflow Detection.

Autoren: Wang, Kunpeng Li, Jingmei Fu, Zhongchuan et al.

Quelle: Security & Communication Networks; 5/13/2022, p1-14, 14p

Schlagwörter: SECURITY management

Investigating the bugs in reinforcement learning programs: Insights from Stack Overflow and GitHub.

Autoren: Song, Jiayin Li, Yike Tian, Yunzhe et al.

Quelle: Automated Software Engineering; Jun2026, Vol. 33 Issue 1, p1-39, 39p

Research on smart contract vulnerability detection method based on domain features of solidity contracts and attention mechanism.

Autoren: Wang, Changjing Jiang, Huiwen Wang, Yuxin et al.

Quelle: Journal of Intelligent & Fuzzy Systems; 2023, Vol. 45 Issue 1, p1513-1525, 13p

Schlagwörter: INDUSTRIAL research, DEEP learning, ACCESS control

A novel machine learning‐based classification approach to prevent flow table overflow attack in Software‐Defined Networking.

Autoren: V, Karthikeyan K, Murugan

Quelle: Concurrency & Computation: Practice & Experience; 1/10/2024, Vol. 36 Issue 1, p1-20, 20p

Schlagwörter: SOFTWARE-defined networking, OPENFLOW (Computer network protocol), ASSOCIATION rule mining, COMPUTER network traffic, DATA structures, END-to-end delay

A Dynamic Control Mechanism of Interrupt Stack Overflow on Real-Time Embedded Monitor (REMON).

Autoren: Nankaku, Shigeki Kawakami, Hiroyuki Koizumi, Hisao et al.

Quelle: Electronics & Communications in Japan; Mar2015, Vol. 98 Issue 3, p57-69, 13p

Schlagwörter: COMPUTER software execution, EMBEDDED computer systems, REAL-time computing, TIME series analysis, CENTRAL processing units

A Data-Driven Framework for Flood Mitigation: Transformer-Based Damage Prediction and Reinforcement Learning for Reservoir Operations.

Autoren: Tofighi, Soheyla Gurbuz, Faruk Mantilla, Ricardo et al.

Quelle: Water (20734441); Oct2025, Vol. 17 Issue 20, p3024, 37p

Schlagwörter: TRANSFORMER models, REINFORCEMENT learning, WATER storage, RISK assessment, HYDRAULIC models, EMPIRICAL research, FLOOD damage prevention

Geografische Kategorien: UNITED States

SeBROP: blind ROP attacks without returns.

Autoren: Zhang, Tianning Cai, Miao Zhang, Diming et al.

Quelle: Frontiers of Computer Science; Aug2022, Vol. 16 Issue 4, p1-18, 18p

Efficient Buffer-Overflow Prevention Technique Using Binary Rewriting

Autoren: Yun Sam Kim Eun Sun Cho

Quelle: The KIPS Transactions:PartC. :323-330

Zugangs-URL: http://society.kisti.re.kr/sv/SV_svpsbs03V.do?method=download&cn1=JAKO200502637288675
http://www.koreascience.or.kr/article/ArticleFullRecord.jsp?cn=JBCRDA_2005_v12Cn3s99_323
http://ktccs.kips.or.kr/digital-library/13696

Staticly Detect Stack Overflow Vulnerabilities with Taint Analysis.

Autoren: Zhang XING Zhang BIN Feng CHAO et al.

Quelle: ITM Web of Conferences; 2016, Vol. 7, p1-5, 5p, 2 Diagrams, 4 Charts

Physiology of Vitamin D—Focusing on Disease Prevention.

Autoren: Wimalawansa, Sunil J.¹ suniljw@hotmail.com

Quelle: Nutrients. Jun2024, Vol. 16 Issue 11, p1666. 31p.

DETECTION AND PREVENTION OF STACK BUFFER OVERFLOW ATTACKS.

Autoren: Kuperman, Benjamin A. Brodley, Carla E. Ozdoganoglu, Hilmi et al.

Quelle: Communications of the ACM. Nov2005, Vol. 48 Issue 11, p51-56. 6p. 1 Diagram.

Schlagwörter: *COMPUTER software, *COMPUTER security, *DATA protection, *COMPUTER storage devices, BUFFER storage (Computer science), ALGEBRAIC stacks

Stack overflow prevention in parallel execution runtime

Pore‐scale simulation of the influence of temperature on particle motion based on LBM‐IBM‐DEM method.

Autoren: Lu, Taijia Xue, Fangling Chen, Yu et al.

Quelle: Hydrological Processes; Sep2023, Vol. 37 Issue 9, p1-19, 19p

Schlagwörter: PARTICLE motion, PARTICLE image velocimetry, POROUS materials, TEMPERATURE effect, GROUNDWATER recharge, ZETA potential

Analysis of Software Developers' Programming Language Preferences and Community Behavior From Big5 Personality Traits.

Autoren: Mukta, Md. Saddam Hossain Antu, Badrun Nessa Azad, Nasreen et al.

Quelle: Software: Practice & Experience; Mar2025, Vol. 55 Issue 3, p473-490, 18p

Schlagwörter: FIVE-factor model of personality, COMPUTER software developers, DEEP learning, SOCIAL influence, PROGRAMMING languages, MACHINE learning, SOCIAL network analysis, COMPUTER programmers