Protecting source code against reverse engineering and theft is an important
problem. The goal is to carry out computations using confidential algorithms on
an untrusted party while ensuring confidentiality of algorithms. This problem
has been addressed for Boolean circuits known as circuit privacy'. Circuits corresponding to real-world programs are impractical. Well-known obfuscation techniques are highly practicable, but provide only limited security, e.g., no piracy protection. In this work, we modify source code yielding programs with adjustable performance and security guarantees ranging from indistinguishability obfuscators to (non-secure) ordinary obfuscation. The idea is to artificially generate misleading’ statements. Their results are combined
with the outcome of a confidential statement using encrypted \emph{selector
variables}. Thus, an attacker must `guess’ the encrypted selector variables to
disguise the confidential source code. We evaluated our method using more than
ten programmers as well as pattern mining across open source code repositories
to gain insights of (micro-)coding patterns that are relevant for generating
misleading statements. The evaluation reveals that our approach is effective in
that it successfully preserves source code confidentiality.

生成讲解博客的中文版本

生成AI智能校验的中文版本