PROMIS Letter of Interest: Difference between revisions
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that case a system that is not vulnerable to a specific type of malware can extract valuable information |
that case a system that is not vulnerable to a specific type of malware can extract valuable information |
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regarding the mechanisms of the specific attack and pass them to rest of the systems, before these |
regarding the mechanisms of the specific attack and pass them to rest of the systems, before these |
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systems get compromised. The systems, which will participate in a proposed P2P network can thereafter |
systems get compromised. The systems, which will participate in a proposed Peer-to-Peer (P2P) network can thereafter |
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apply automatically some predefined countermeasures in order to avoid the consequences of |
apply automatically some predefined countermeasures in order to avoid the consequences of |
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a forthcoming malware epidemic. Our approach is based on the principles of hygiene: |
a forthcoming malware epidemic. Our approach is based on the principles of hygiene: |
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Based on these principles, to alleviate the effects of rapid malcode we propose a cooperative containment |
Based on these principles, to alleviate the effects of rapid malcode we propose a cooperative containment |
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algorithm called |
algorithm called PROactive Malware Identification System – PROMIS, |
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based on a |
based on a P2P architecture, which provides timely information to the |
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members of a specially crafted P2P group. Members of the group then automatically adjust their security level. |
members of a specially crafted P2P group. Members of the group then automatically adjust their security level. |
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The simulations we performed in conjunction with two early prototypes produced |
The simulations we performed in conjunction with two early prototypes produced |
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positive results. We are planning to build a stable PROMIS system using the |
positive results. We are planning to build a stable PROMIS system using the |
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experience gained from our |
experience gained from our attempts and the experimental results of the |
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simulation. This project aims to: |
simulation. This project aims to: |
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* Conduct research, extending the findings of PROMIS algorithm, discovering innovative methods to identify malware and to protect critical infrastructures |
* Conduct research, extending the findings of the PROMIS algorithm, discovering innovative methods to identify malware and to protect critical infrastructures |
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* Design and build a fully functional PROMIS system running in |
* Design and build a fully functional PROMIS system running in the MS-Windows and GNU/Linux operating systems |
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The project's software deliverables will be available for internal use by the project's partners and in the future could become part of or form the basis of novel products and business solutions. Scientific contributions will be exploited by means of journal articles and conference publications. Licensing and commercial exploitation of research results will be discussed during the proposal preparation phase. |
The project's software deliverables will be available for internal use by the project's partners and in the future could become part of or form the basis of novel products and business solutions. Scientific contributions will be exploited by means of journal articles and conference publications. Licensing and commercial exploitation of research results will be discussed during the proposal preparation phase. |
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Latest revision as of 22:03, 26 September 2007
ACRONYM PROMIS
NAME A PROactive Malware Identification System based on Peer-to-Peer Networks
pdf version here (needs authentication)
Description
STREP proposal (FP7/ICT)
Strategic Objective: ICT-SEC-2007.1.7: Critical Infrastructure Protection (Joint Call between ICT and Security Themes FP7-ICT-SEC-2007-1)
Recent worm epidemics showed that the existing centralized worm containment mechanisms are no longer adequate to protect vulnerable systems. Although the homogeneity of computer systems offers some significant benefits, e.g., portability and the standardisation of software development, highly homogeneous environments make easy for malcode to propagate in less time than any traditional reaction is possible. This has resulted to a shift towards distributed cooperative systems that aim to safeguard and immunise the susceptible population by automatically vaccinating them.
At the same time, there is a more balanced choice of software and hardware in critical infrastructures. In that case a system that is not vulnerable to a specific type of malware can extract valuable information regarding the mechanisms of the specific attack and pass them to rest of the systems, before these systems get compromised. The systems, which will participate in a proposed Peer-to-Peer (P2P) network can thereafter apply automatically some predefined countermeasures in order to avoid the consequences of a forthcoming malware epidemic. Our approach is based on the principles of hygiene: taking the basic precautions to avoid infection when an epidemic is on the rise.
Based on these principles, to alleviate the effects of rapid malcode we propose a cooperative containment algorithm called PROactive Malware Identification System – PROMIS, based on a P2P architecture, which provides timely information to the members of a specially crafted P2P group. Members of the group then automatically adjust their security level.
Theoretical research regarding our approach has already been published in
- Vasileios Vlachos and Diomidis Spinellis. A PRoactive malware identification system based on the computer hygiene principles. Information Management and Computer Security, 15(4):295–312, 2007 [1]
The simulations we performed in conjunction with two early prototypes produced positive results. We are planning to build a stable PROMIS system using the experience gained from our attempts and the experimental results of the simulation. This project aims to:
- Conduct research, extending the findings of the PROMIS algorithm, discovering innovative methods to identify malware and to protect critical infrastructures
- Design and build a fully functional PROMIS system running in the MS-Windows and GNU/Linux operating systems
The project's software deliverables will be available for internal use by the project's partners and in the future could become part of or form the basis of novel products and business solutions. Scientific contributions will be exploited by means of journal articles and conference publications. Licensing and commercial exploitation of research results will be discussed during the proposal preparation phase.
What we need from you
The PROMIS project is a research proposal being submitted for the first time. We plan to carry out the major parts of the write-up using our own resources, although help from partners will be greatly appreciated. We expect our partners to contribute their opinions in areas of their particular expertise and to formally review the proposal before it is being submitted.
Further information and communication
This proposal is initiated by the Software Engineering and Security Group of the Department of Management
Science and Technology of the Athens University of Economics and Business, directed by Diomidis
Spinellis [2].
Our web site: [3]
Contact us by email at bkarak@aueb.gr.