Yubo Du (University of Pittsburgh), Youtao Zhang (University of Pittsburgh), Jun Yang (University of Pittsburgh)

Low-level programming languages like C and C++ offer dynamic memory management capabilities but are vulnerable to Use-After-Free (UAF) vulnerabilities due to improper deallocation handling. These vulnerabilities, arising from accessing memory through dangling pointers, pose significant risks. While various defense mechanisms have been proposed, existing solutions often face challenges such as high performance overhead, excessive memory usage, or inadequate security guarantees, limiting their practicality. Pointer Nullification (PN) has gained attention as a promising UAF mitigation technique by tracking pointers and nullifying them upon buffer deallocation. However, existing PN techniques incur inefficiencies due to precisely associating each pointer with its target buffer, leading to expensive metadata lookups. Moreover, they overlook spatial locality in pointer storage, resulting in a larger number of registrations than necessary. This paper introduces Fast Pointer Nullification (FPN), a new PN-based defense that organizes metadata at the region level to eliminate costly search operations and uses block-based registration to efficiently capture pointer locality. Experiments on SPEC CPU benchmarks and real-world applications demonstrate that FPN provides strong security guarantees while significantly reducing performance and memory overhead compared to prior PN techniques.

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TIPSO-GAN: Malicious Network Traffic Detection Using a Novel Optimized...

Ernest Akpaku (School of Computer Science and Communication Engineering, Jiangsu University), Jinfu Chen (School of Computer Science and Communication Engineering, Jiangsu University), Joshua Ofoeda (University of Professional Studies, Accra)

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CatBack: Universal Backdoor Attacks on Tabular Data via Categorical...

Behrad Tajalli (Radboud University), Stefanos Koffas (Delft University of Technology), Stjepan Picek (Radboud University)

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Position Paper: Towards Ubiquitous and Automated User Privacy Configuration

Song Liao (Texas Tech University), Jingwen Yan (Clemson University), Yichen Liu (University of Illinois Urbana-Champaign), David Kotz (Dartmouth College), Luyi Xing (University of Illinois Urbana-Champaign), Long Cheng (Clemson University)

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