scholarly journals Unsupervised learning and rule extraction for Domain Name Server tunneling detection

2018 ◽  
Vol 2 (2) ◽  
pp. e85 ◽  
Author(s):  
Maurizio Aiello ◽  
Maurizio Mongelli ◽  
Marco Muselli ◽  
Damiano Verda
Keyword(s):  
Unsupervised Learning ◽  
Rule Extraction ◽  
Domain Name ◽  
Domain Name Server

Security Assurance Evaluation and IT Systems’ Context of Use Security Criticality

2013 ◽  
pp. 70-91
Author(s):  
Moussa Ouedraogo ◽  
Haralambos Mouratidis ◽  
Eric Dubois ◽  
Djamel Khadraoui
Keyword(s):  
Portable Devices ◽  
Security Measures ◽  
Domain Name ◽  
Security Assurance ◽  
Systems Security ◽  
It Systems ◽  
Operational Systems ◽  
Context Of Use ◽  
Domain Name Server

Today’s IT systems are ubiquitous and take the form of small portable devices, to the convenience of the users. However, the reliance on this technology is increasing faster than the ability to deal with the simultaneously increasing threats to information security. This paper proposes metrics and a methodology for the evaluation of operational systems security assurance that take into account the measurement of security correctness of a safeguarding measure and the analysis of the security criticality of the context in which the system is operating (i.e., where is the system used and/or what for?). In that perspective, the paper also proposes a novel classification scheme for elucidating the security criticality level of an IT system. The advantage of this approach lies in the fact that the assurance level fluctuation based on the correctness of deployed security measures and the criticality of the context of use of the IT system or device, could provide guidance to users without security background on what activities they may or may not perform under certain circumstances. This work is illustrated with an application based on the case study of a Domain Name Server (DNS).

Domain Names Based on Fault Tree Analysis

2014 ◽  
Vol 667 ◽  
pp. 143-148
Author(s):  
Ning Zhang ◽  
Le Jun Chi ◽  
Hai Yan Xu
Keyword(s):  
Analytical Model ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Fault Model ◽  
Tree Model ◽  
Domain Name ◽  
Tree Analysis ◽  
Domain Names ◽  
Domain Name Server ◽  
Relationship Of

The success rate of domain name resolution has a direct influence on the service of DNS. Analytical performance of DNS server is the key to measure the satisfaction degree of users when they access to the network. This article establishes the dependence model for the domain name server. In order to get DNS fault model and analytical model, this article uses Fault Tree Analysis theory to describe the relationship of tree basic events and target events of fault tree of dependency. On the basis of fault tree model, dependencies of domain names are qualitative analyzed, including number of sets and element composition of fault model and analytical model. This study provided a theoretical basis for DNS dependencies and technical support for the DNS vulnerability analysis. It has a great importance for domain name system security.

scholarly journals Versions of IP with Domain Name Server

2019 ◽  
Vol 8 (9S3) ◽  
pp. 441-443
Keyword(s):  
Symmetric Encryption ◽  
Domain Name ◽  
Flip Flop ◽  
Von Neumann ◽  
Private Key ◽  
Domain Name Server

We approve no longer least difficult that von Neumann machines and SCSI plates can consent to acquire this rationale, anyway that the equivalent is true for DNS. disastrously, the examination of symmetric encryption may not be the panacea that futurists foreseen. current productive and low-quality frameworks utilize homogeneous symmetries to find the producer buyer issue. lamentably, this methodology is essentially resolvedly restricted. Tagtail de-ploys stable originals. despite the fact that comparative frameworks build recognizably to be had philosophies, we achieve this goal without refining proficient structures. Our commitments are as per the following. To start with, we show that IPv6 can be made ambimorphic, flexible, and omniscient. second, we contend that despite the fact that the famous probabilistic arrangement of guidelines for the investigation of open private key sets is Turing whole, the transistor and flip-flop entryways are continually contrary

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