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        <datestamp>2024-03-06T10:36:06Z</datestamp>
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          <dc:title>Access-rights Analysis in the Presence of Subjects</dc:title>
          <dc:creator>Centonze, Paolina</dc:creator>
          <dc:creator>Pistoia, Marco</dc:creator>
          <dc:creator>Tripp, Omer</dc:creator>
          <dc:subject>Static Analysis</dc:subject>
          <dc:subject>Security</dc:subject>
          <dc:subject>Access Control</dc:subject>
          <dc:description>Modern software development and run-time environments, such as Java and the Microsoft .NET Common Language Runtime (CLR), have adopted a declarative form of access control. Permissions are granted to code providers, and during execution, the platform  verifies compatibility between the permissions required by a security-sensitive operation and those granted to the executing code.  While convenient, configuring the access-control policy of a program is not easy. If a code component is not granted sufficient permissions, authorization failures may occur. Thus, security administrators tend to define overly permissive policies, which violate the Principle of Least Privilege (PLP).&#13;
&#13;
A considerable body of research has been devoted to building program-analysis tools for computing the optimal policy for a program. However, Java and the CLR also allow executing code under the authority of a subject (user or service), and no program-analysis solution has addressed the challenges of determining the policy of a program in the presence of subjects.&#13;
&#13;
This paper introduces Subject Access Rights Analysis (SARA), a novel analysis algorithm for statically computing the permissions required by subjects at run time. We have applied SARA to 348 libraries in IBM WebSphere Application Server - a commercial enterprise application server written in Java that consists of &gt;2 million lines of code and is required to support the Java permission- and subject-based security model. SARA detected 263 PLP violations, 219 cases of policies with missing permissions, and 29 bugs that led code to be unnecessarily executed under the authority of a subject. SARA corrected all these vulnerabilities automatically, and additionally synthesized fresh policies for all the libraries, with a false-positive rate of 5% and an average running time of 103 seconds per library. SARA also implements mechanisms for mitigating the risk of false negatives due to reflection and native code; according to a thorough result evaluation based on testing, no false negative was detected. SARA enabled IBM WebSphere Application Server to receive the Common Criteria for Information Technology Security Evaluation Assurance Level 4 certification.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Paolina Centonze and Marco Pistoia and Omer Tripp</dc:contributor>
          <dc:date>2015</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 37, 29th European Conference on Object-Oriented Programming (ECOOP 2015)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ECOOP.2015.222</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-52249</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2015.222</dc:identifier>
          <dc:language>eng</dc:language>
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