Results 71 to 80 of about 2,734 (285)

Code obfuscation against abstraction refinement attacks [PDF]

open access: yes, 2018
Code protection technologies require anti reverse engineering transformations to obfuscate programs in such a way that tools and methods for program analysis become ineffective.
Giacobazzi, Roberto   +2 more
core   +1 more source

Assessment of Genetic Correlations Between Tobacco or Alcohol Use and Neurodegenerative Diseases Using East Asian Genetic Ancestry Genome‐Wide Association Study Results

open access: yesAmerican Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT Alzheimer's disease (AD) and Parkinson's disease (PD) are the most prevalent late‐onset neurodegenerative diseases worldwide. Both are influenced in part by genetic factors and are currently incurable. Tobacco and alcohol, the two most common substances used among the general adult population, are potential AD/PD risk factors and are also ...
Linda Wang   +3 more
wiley   +1 more source

Five Issues of Artificial Intelligence in Science: Sailing the Ship of Theseus

open access: yesAnnals of Neurology, EarlyView.
Artificial intelligence (AI) is becoming part of the working infrastructure of academic medicine. Because grants convert scientific ideas into protected time, infrastructure, and institutional priority, they provide a revealing test case for AI's effects on biomedicine. Five issues are emerging: language, agency, review, doership, and identity.
S. Thomas Carmichael
wiley   +1 more source

Classification of Obfuscation Techniques in LLVM IR: Machine Learning on Vector Representations

open access: yesMachine Learning and Knowledge Extraction
We present a novel methodology for classifying code obfuscation techniques in LLVM IR program embeddings. We apply isolated and layered code obfuscations to C source code using the Tigress obfuscator, compile them to LLVM IR, and convert each IR code ...
Sebastian Raubitzek   +3 more
doaj   +1 more source

Language and Obfuscation Oblivious Source Code Authorship Attribution

open access: yesIEEE Access, 2020
Source Code Authorship Attribution can answer many interesting questions such as: Who wrote the malicious source code? Is the source code plagiarized, and does it infringe on copyright?
Sarim Zafar   +3 more
doaj   +1 more source

An Android Malicious Code Detection Method Based on Improved DCA Algorithm

open access: yesEntropy, 2017
Recently, Android malicious code has increased dramatically and the technology of reinforcement is increasingly powerful. Due to the development of code obfuscation and polymorphic deformation technology, the current Android malicious code static ...
Chundong Wang   +5 more
doaj   +1 more source

Expanded application to plant reproductive tissues of a branched DNA probe‐based in situ hybridization method

open access: yesApplications in Plant Sciences, EarlyView.
Abstract Premise Detecting clear tissue‐ and organ‐specific patterns of gene expression is key to understanding the genetic mechanisms that control plant development. In situ hybridization (ISH) of mRNA is one of the most precise, yet most challenging approaches to gene expression assays.
Brooklyn M. Anaya   +3 more
wiley   +1 more source

OBLIVE: Seamless Code Obfuscation for Java Programs and Android Apps

open access: yes, 2019
Malicious reverse engineering is a problem when a program is delivered to the end users. In fact, an end user might try to understand the internals of the program, in order to elaborate an attack, tamper with the software and alter its behaviour.
Davide Pizzolotto   +5 more
core   +2 more sources

The method of generation program code with indistinguishable functionality

open access: yesБезопасность информационных технологий, 2017
The paper presents an obfuscation problem, in which indistinguishability is considered relatively to programs with distinguishable functionality. The functionality remains undisclosed owing to unknown parameters in the program’s input.
Mikhail Andreevich Styugin
doaj   +1 more source

Deobfuscation, unpacking, and decoding of obfuscated malicious JavaScript for machine learning models detection performance improvement

open access: yesCAAI Transactions on Intelligence Technology, 2020
Obfuscation is rampant in both benign and malicious JavaScript (JS) codes. It generates an obscure and undetectable code that hinders comprehension and analysis. Therefore, accurate detection of JS codes that masquerade as innocuous scripts is vital. The
Samuel Ndichu   +3 more
doaj   +1 more source

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