My UKSIM paper in CSDL

The paper that I presented in Cambridge is now appear in CSDL index. You can read the complete paper here

However as common as other paper indexed by CSDL, you or your institution need to have access to that online database.

Done with UKSIM, now concentrate on the journal!

Alhamdulillah, I presented my work at UKSIM, and later the same slides was "recycled" for an informal group session at the Computer Laboratory(CL), William Gates Building. Among the persons that I noticed in the CL session was the person in charge (Wei), Rubin and Richard Clayton. (I also noticed a white bearded guy.. I think this professor) I was a little hesitate at first to go there since it is Cambridge, the top university in the world, while my work could be regarded as "premature". Nevertheless since it's informal, and Wei seems interested to see the talk so I took a bus from the nearest bus stop at the hotel and stop at the West Cambridge. A friend, Aeffendi Hashim is also working on his PhD at a building behind the William Gates' building, CAPE. 

Nice experience, especially in the Q & A where I felt like "grilled". But of course, I took the challenge, hope it worth, and helps me shape up my research works.

Paper accepted at UKSIM 2012, Cambridge, UK

My paper was submitted at UKSIM 2012, Cambridge, UK and was accepted
To quote, use to following BibTeX:

@INPROCEEDINGS{Ahma1203:Malware,
AUTHOR="Muhammad Najmi {Ahmad Zabidi}",
TITLE="Malware Analysis with Multiple Features",
BOOKTITLE="UKSim 14th International Conference on Computer Modelling and Simulation,
UKSim2012 (UKSim2012)",
ADDRESS="Cambridge, United Kingdom",
DAYS=28,
MONTH=mar,
YEAR=2012,
KEYWORDS="malware, static analysis, feature selection",
ABSTRACT="Malware analysis process is being categorized into static analysis and
dynamic analysis. Both static and dynamic analysis have their own strengths
and weaknesses. In this paper, we present a tool written in Python
programming language called as pi-ngaji, which could assist the work of
malware analyst to get the static features of malware. pi-ngaji contains
several modules - Application Programming Interface (API) calls extractor,
binary entropy information, anti virtual machine and anti debugger detector
and XOR encrypted strings decryptor. pi-ngaji was developed in order to
assist our work in getting malware features. pi-ngaji is focusing on
ripping Microsoft Windows executable binaries' malicious features."
}