By Maurice Herlihy (auth.), Tomasz Janowski, Hrushikesha Mohanty (eds.)
This booklet constitutes the lawsuits of the sixth overseas convention on disbursed Computing and web know-how, ICDCIT 2010, held in Bhubaneswar, India, in February 2010. The 26 papers offered contains 12 lengthy papers, nine brief papers and five prolonged abstracts. They have been rigorously reviewed and chosen from ninety one submissions. additionally the amount comprises four invited talks. the subjects lined are networking, grid computing and net providers, web expertise and allotted computing, software program engineering of secured structures, and societal purposes.
Read or Download Distributed Computing and Internet Technology: 6th International Conference, ICDCIT 2010, Bhubaneswar, India, February 15-17, 2010. Proceedings PDF
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Extra info for Distributed Computing and Internet Technology: 6th International Conference, ICDCIT 2010, Bhubaneswar, India, February 15-17, 2010. Proceedings
Finally, we brieﬂy discuss our recent study for detecting the presence of malwares in systems like embedded systems where we know a priori the software that is loaded in them. 2 Formal Approaches to Virus Characterization Informally, a virus can be deﬁned as any program that propagates itself by infecting a host ﬁle (trusted by the user). The infected host ﬁle when executed, in addition to performing its’ intended job it also selects another program and infects it thereby spreading the infection.
We have collected similar information for the genuine ssh program starting from the time the service is started to the time the user logged in and completed the session. We executed an infected version of nano program and collected the observable information during its execution. We then compared it with its intended behaviour and we easily concluded from the observations made that the version of nano we executed is infected. Moreover we were also able to identify the instructions added due to infection to the program.
Reveal gaping holes in signature-based malware detection techniques employed by several popular, commercial anti-virus softwares. In their technique, a large number of obfuscated versions of known viruses are created and tested on several anti-virus softwares. The results demonstrate that these tools are severely lacking in their ability to detect obfuscated versions of known malware. An algorithm to generate signatures used by diﬀerent anti-virus softwares to detect known malware is also presented.