<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'The Trojan also employs various obfuscation methods : from the simplest , such as string concatenation and renaming of classes and methods , to implementing functions in native code and embedding SO libraries in C/C++ in the APK file , which requires the use of additional tools or dynamic analysis for deobfuscation , since most tools for static analysis of Android apps support only Dalvik bytecode .' [/INST] [The:O, Trojan:O, also:O, employs:O, various:O, obfuscation:O, methods:O, ::O, from:O, the:O, simplest:O, ,:O, such:O, as:O, string:O, concatenation:O, and:O, renaming:O, of:O, classes:O, and:O, methods:O, ,:O, to:O, implementing:O, functions:O, in:O, native:O, code:O, and:O, embedding:O, SO:O, libraries:O, in:O, C/C++:O, in:O, the:O, APK:O, file:O, ,:O, which:O, requires:O, the:O, use:O, of:O, additional:O, tools:O, or:O, dynamic:O, analysis:O, for:O, deobfuscation:O, ,:O, since:O, most:O, tools:O, for:O, static:O, analysis:O, of:O, Android:O, apps:O, support:O, only:O, Dalvik:O, bytecode:O, .:O] </s>