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Study On The Risks Control Based On Survivability To E-govnment System

Posted on:2007-06-12Degree:DoctorType:Dissertation
Country:ChinaCandidate:K ZhuFull Text:PDF
GTID:1116360212983182Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
E-government system is the foundation and platform which realizes E-government' s goals and functions. It has very important significant to accelerate reform and development. With the network technology developing, E-government system is confronted with more and more risks: one side it enhances the E-government system' s risks, the other side network' s development provides an efficient platform to hackers' alliances and the exchange for attacking software, which makes attack complexity linear growth and attackers' knowledge exponential descent. The current theories are difficult to acclimatize themselves to the rising demands from the E-government system's risks control.This literature puts forward a risks —control architecture to E-government system based on survivability. This architecture takes system' s survivability as the kernel, sets up a multi-phase risks control system from attack recognition, attack resistance, attack recovery and attack adaptation.This literature has three innovations, namely: 1.It advances a risks—control architecture to E-government system based on survivability. This architecture is composed of the attack recognition sub-system, the attack resistance sub-system, the attack recovery sub-system and the attack adaptation sub-system. It emphasizes the E-government system' s survivability to risks and adopts an active risks control policy, changing the way that those current risks control theories implement a passive risks control policy. 2. It introduces formal methods in the attack recognition sub-system, attack resistance sub-system, attack recovery sub-system and attack adaptation sub-system. Resorted to formal methods' rigor and precision, it will ensure the availability of these four sub-systems, guarantee the efficiency of risks controlling to the E-government system. 3. It introduces fuzzy theory in the attack recognition sub-system. Furthermore, when constructing the attack recognition sub-system, the fuzzy set " {BELOW,AVERAGE,ABOVE}" substitutes for the fuzzy set " {LOW,MEDIUM,HIGH}" in the exertion of the fuzzy set function, which improve the precision of the attack recognition.The structure of this literature as follows: Firstly, it presents researchbackground, research aims, research significances and methods, as well as this literature' s structure and its innovations. Then it reviews relative risks control theories and models to E-government system and makes some evaluations about these theories. In succession, it constructs the attack recognition sub-system, attack resistance sub-system, attack recovery sub-system and attack adaptation sub-system. And then on the basis of these four sub-systems, it brings forth a risks—control architecture to E-government system based on survivability, following give a case to demonstrate the architecture' s efficiency. Finally, it summarizes this literature.
Keywords/Search Tags:E-government, Survivability, Risks control, Attack recognition, Attack resistance, Attack recovery, Adaptation
PDF Full Text Request
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