13 papers · ranked by Valyu relevance
Lei Yan, Guanghuai Zhao, Xiaohui Li, Pengxuan Sun + 1 more
The inconsistency in software development standards frequently leads to vulnerabilities that can jeopardize an application’s cryptographic integrity. This situation can result in incomplete or flawed encryption processes. Vulnerabilities may manifest as missing, bypassed, or improperly executed encryption functions or…
Seokwoo Choi, Taejoo Chang, Yongsu Park, Francesco Mercaldo
Despite recent remarkable advances in binary code analysis, malware developers still use complex anti-reversing techniques that make analysis difficult. Packers are used to protect malware, which are (commercial) tools that contain diverse anti-reversing techniques, including code encryption, anti-debugging, and code…
Yuhao Jia, Zhicheng Yu, Zhen Hong, Asadullah Shaikh
Binary code similarity detection plays a crucial role in various applications within binary security, including vulnerability detection, malicious software analysis, etc. However, existing methods suffer from limited differentiation in binary embedding representations across different compilation environments, lacking…
Qiang Hao, Dongdong Xu, Yusen Qin, Ruyin Li + 4 more
'Yunyan You' 'Xiang Wang' 'Zhongrui Wang'] The branch prediction units (BPUs) generally have security vulnerabilities, which can be used by attackers to tamper with the branches, and the existing protection methods cannot defend against these attacks. Therefore, this article proposes a hardware security protection…
GyeongTaek Choi, Seungho Jeon
WebAssembly is a low-level binary format originally designed to enable high-performance applications to run in web browsers. As WebAssembly is increasingly being ported to various environments, the security verification of WebAssembly execution environments is becoming more critical. While a wide variety of WebAssembly…
Jianqing Bu, Qin Liu, Longwei Zhang, Shujie Li + 2 more
'Oldrich Sucharda'] Fly ash and slag powder, as two of the most widely utilized industrial solid waste-based mineral admixtures, have demonstrated through extensive validation that their combined incorporation technology effectively enhances the mechanical properties and microstructural characteristics of concrete.…
Melih Peker, Ozcan Ozturk
Selecting a good set of optimization flags requires extensive effort and expert input. While most of the prior research considers using static, spatial, or dynamic features, some of the latest research directly applied deep neural networks to source code. We combined the static features, spatial features, and deep…
Zhongtao Hu, Yaoheng Yang, Lu Xu, Yao Hao + 1 more
Transcranial focused ultrasound (tFUS) is a promising technique for non-invasive and spatially targeted neuromodulation and treatment of brain diseases. Acoustic lenses were designed to correct the skull-induced beam aberration, but these designs could only generate static focused ultrasound beams inside the brain.…
Zhenliang An, Weike Wang, Wenxin Li, Senyang Li + 2 more
'Arman Roohi'] The growing prevalence of embedded systems in various applications has raised concerns about their vulnerability to malicious code reuse attacks. Current software-based and hardware-assisted security techniques struggle to detect or block these attacks with minor performance and implementation overhead.…
Abdelmonem M. Ibrahim, Doaa A. Fakhry, Fares Al-Shargie, Jan Cornelis
Feature selection is crucial for high-dimensional sensor and biomedical data because it reduces redundancy, improves generalization, and supports interpretable biomarker discovery. In this study, we propose a Binary Chaos-Enhanced Newton-Raphson-Based Optimizer (BCNRBO) for wrapper-based feature selection. The method…
Gang-Cheng Huang, Ko-Chin Chang, Tai-Hung Lai, Valderi R. Q. Leithardt
In this study, we propose a method for successfully evading antivirus detection by encoding malicious shellcode with fountain codes. The Meterpreter framework for Microsoft Windows 32-bit and 64-bit architectures was used to produce the shellcode used in this investigation. The experimental results proved that…
Sesibhushana Rao Bommana, Sreehari Veeramachaneni, Syed Ershad, MB Srinivas
'MB Srinivas'] This paper introduces a framework that combines Deep Learning (DL) models and Dynamic Partial Reconfiguration (DPR) in Field Programmable Gate Arrays (FPGA) to mitigate Side Channel Attacks (SCA). Traditional static defense mechanisms often fail to fully mitigate SCA because they lack the ability to…
Yangyang Liu, Pengyang Zhang, Yu Ru, Delin Wu + 4 more
'Niuniu Yin' 'Fansheng Meng' 'Zhongcheng Liu'] The complex environments and weak infrastructure constructions of hilly mountainous areas complicate the effective path planning for plant protection operations. Therefore, with the aim of improving the current status of complicated tea plant protections in hills and…