Automated Security Management by Mohammed Noraden Alsaleh, Ehab Al-Shaer, Adel El-Atawy

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By Mohammed Noraden Alsaleh, Ehab Al-Shaer, Adel El-Atawy (auth.), Ehab Al-Shaer, Xinming Ou, Geoffrey Xie (eds.)

In this contributed quantity, major overseas researchers discover configuration modeling and checking, vulnerability and probability evaluate, configuration research, and diagnostics and discovery. The authors equip readers to appreciate automatic safety administration structures and methods that raise total community assurability and usefulness. those continuously altering networks protect opposed to cyber assaults by way of integrating 1000's of defense units resembling firewalls, IPSec gateways, IDS/IPS, authentication servers, authorization/RBAC servers, and crypto platforms. computerized defense administration provides a couple of issues within the quarter of configuration automation. Early within the booklet, the bankruptcy authors introduce modeling and validation of configurations in accordance with high-level requisites and speak about tips to deal with the protection threat due to configuration settings of community structures. Later chapters delve into the idea that of configuration research and why it is necessary in making sure the safety and performance of a effectively configured process. The publication concludes with how one can determine difficulties whilst issues get it wrong and extra. quite a lot of theoretical and useful content material make this quantity invaluable for researchers and pros who paintings with community systems.

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Among the five cases, two of them are manually-created cases with long attack sequences, which enables us to evaluate how well the model checker detects 34 M. Zhao and P. 1 Experiment Result. In this table, (AP) means after prune. The Runtime (FALSE) row displays the analysis time for the vulnerable version of each cases. Runtime (TRUE) row displays the analysis time of the safe version. If an experiment runs longer than 2 h or out of memory, the result would be N/A Num. of tags Num. of malicious processes Num.

06 GHz CPU and 2 GB memory. 1. 1. First, our preprocessing algorithm effectively reduces the number of state variables and state transitions, particularly for the randomly generated cases. Second, even for large-scale cases, it is efficient to prove a property to be false and to find a counter-example by bounded model checking. However, proving a property to be true is very time-consuming, and we didn’t even get a result with cases having 20 or more tags in the time span of the experiment. Nevertheless, we can use bounded model checking to partially prove a configuration’s safety by setting a large bound k, because the longer an attack sequence is, the harder it can be found and exploited by malicious processes.

P; Lsp [ ftg/g. • Delegate capability. p; q; t C /. It means that process p sends the capability t C to process q. q; Liq / 2 OLi . Lip à Liq /. q; Ip [ Iq /g, for the capability delegation could be used as a implicit information channel. So the receiver q will be automatically tainted. • Grant capability. As we have discussed in Sect. 2, a central tag registry will grant capability to a process that has the right token i . i; t C / 2 IC . t C 2 6 C sp /. p; C spC [ ft C g/g. • Indirect declassify.

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