http://repository.iiitd.edu.in/xmlui/handle/123456789/1284 Sat, 11 Apr 2026 13:10:07 GMT 2026-04-11T13:10:07Z http://repository.iiitd.edu.in/xmlui/handle/123456789/1288 An extensive study on state-of-the-art c decompilers Singh, Sejal; Purandare, Rahul (Advisor); Jain, Ridhi (Advisor) C decompilers are often chosen by the developers when they do not have the source code available in order to either debug or understand the code. Previous studies suggest that the C decompilers are not correct; however, the decompiled code is majorly used to understand the code and not generate correct codes. The codes produced by C decompilers are often semantically the same but syntactically very di erent. We plan a study to understand the syntactical di erence between the codes and focus on comprehension of the decompiled code. We use three widely used state-of-the-art open source decompilers: RetDec by Avast and two Radare’s decompiler plugins, R2Dec and R2Ghidra. The study intends to evaluate the structural dissimilarities between the original and the decompiled code and how does that a ects the developers’ performance. We will conduct a study involving developers with programming experience to validate our intuition. We plan to compute the similarity between Abstract Syntax Trees (AST) of various versions of a code. We used LLVM-clang to generate AST’s, constructed the AST’s as a comparator to compare the original code and decompiled code and calculate similarity score. The C codes for the study are taken from GitHub, which are then complied with using four different optimization levels coupled with three di erent compile options resulting in 12 variants for each code. Then these compiled codes are further decompiled using these three decompilers. Recompiling these codes is often a challenge. We manually solved the errors and made them compliable without changing its algorithm. Then with the help of clang LLVM, we generate AST for codes and build an AST comparator to compare the generated AST of source code and decompiled code. We calculated the similarity score based on the number of matches found between the two files. Analyzed the results using graphs and di erent statistical methods. Tue, 01 Jun 2021 00:00:00 GMT http://repository.iiitd.edu.in/xmlui/handle/123456789/1288 2021-06-01T00:00:00Z http://repository.iiitd.edu.in/xmlui/handle/123456789/1287 Classification of agonist and antagonist using machine learning Aggarwal, Bhavay; Ray, Arjun (Advisor) Proteins are essential for carrying out the activities our cells perform. Agonist and Antagonist molecules are essential in dictating cell activities and hence the Identi cation of the action of such complexes will help enhance drug discovery and production. We create a dataset of such proteins and then apply machine learning techniques to classify them. Sat, 01 May 2021 00:00:00 GMT http://repository.iiitd.edu.in/xmlui/handle/123456789/1287 2021-05-01T00:00:00Z http://repository.iiitd.edu.in/xmlui/handle/123456789/1286 Mapping the maze : a study of internet shutdowns across the world Malik, Ritik; Chakravarty, Sambuddho (Advisor); Khan, Aasim (Advisor) The government regimes have frequently used internet shutdowns to curb the freedom of expression and devoice people worldwide. There could be other unintentional reasons, like power failure, device rupture, regional outages, etc. However, like before, we will mainly focus on intentional internet shutdowns. There have been quite a few shutdowns from the time of our last report in Dec 2020. This time too, the reasons stated were to curb the spreading of fake news and better control over riots and protests. We again try to correlate those events with the BGP data, but this time around, with a new and better approach and extending the study to other countries as well. We try to address the following questions: { How do various governments implement these shutdowns? { Are the same techniques implemented across all the ISPs? { Can we correlate historical shutdowns with some publicly available datasets? { Can we predict shutdowns in the future after analyzing the current trend? Tue, 01 Jun 2021 00:00:00 GMT http://repository.iiitd.edu.in/xmlui/handle/123456789/1286 2021-06-01T00:00:00Z