By Mohammed Noraden Alsaleh, Ehab Al-Shaer, Adel El-Atawy (auth.), Ehab Al-Shaer, Xinming Ou, Geoffrey Xie (eds.)
In this contributed quantity, prime overseas researchers discover configuration modeling and checking, vulnerability and possibility evaluate, configuration research, and diagnostics and discovery. The authors equip readers to appreciate automatic protection administration platforms and methods that bring up total community assurability and usefulness. those continuously altering networks protect opposed to cyber assaults by way of integrating enormous quantities of defense units resembling firewalls, IPSec gateways, IDS/IPS, authentication servers, authorization/RBAC servers, and crypto platforms. computerized defense administration offers a couple of issues within the region of configuration automation. Early within the ebook, the bankruptcy authors introduce modeling and validation of configurations according to high-level specifications and talk about the right way to deal with the protection possibility due to configuration settings of community structures. Later chapters delve into the concept that of configuration research and why it will be important in making sure the safety and performance of a safely configured procedure. The publication concludes with how one can determine difficulties whilst issues get it wrong and extra. a variety of theoretical and sensible content material make this quantity necessary for researchers and pros who paintings with community systems.
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Liu is that the DIFC system should be properly implemented and configured, so our work is complementary to this proof. Harris et al.  use model checking and random isolation to prove the correctness of DIFC code with unbounded processes. Chaudhuri et al.  and Yang et al.  verify DIFC configuration at system objectlevel. Chaudhuri et al. reduce the safety analysis problem to query satisfiability in Datalog. Yang et al. propose an rigorous formalization of DIFC policies and also prove that the complexity of DIFC policy verification problem is NP-Complete.
However, they operate in hostile environments getting exposed to a wide variety of threats. Accordingly, vulnerability management mechanisms are highly required. We present in this paper a novel approach for increasing the security of mobile devices by efficiently detecting vulnerable configurations. In that context, we propose a modeling for performing vulnerability assessment activities as well as an OVAL-based distributed framework for ensuring safe configurations within the Android platform.
In this section we present a mathematical model that defines and efficiently supports the vulnerability assessment process. Usually, a vulnerability can be understood as a logical combination of properties that if observed in a target system, the security problem associated with such vulnerability is present on that system. rc). Frequently, one property is required by several vulnerability descriptions and naturally one vulnerability description may require several properties. Under this perspective, the set of vulnerability descriptions that constitutes a knowledge base can be compactly represented by using a boolean pattern matrix PM defined as follows: v1 v2 PM D : :: vm p1 a1;1 B a2;1 B B :: @ : p2 a1;2 a2;2 :: : am;1 am;2 0 :: pn a1;n a2;n :: : : 1 C C C ai;j 2 f0; 1g A am;n Each matrix row encodes the properties required to be observed for the vulnerability vi to be present.