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| Content Provider | ACM Digital Library |
|---|---|
| Author | Kafali, Özgür Petruso, Megan Williams, Laurie Singh, Munindar P. Jones, Jasmine |
| Abstract | Policy design is an important part of software development. As security breaches increase in variety, designing a security policy that addresses all potential breaches becomes a nontrivial task. A complete security policy would specify rules to prevent breaches. Systematically determining which, if any, policy clause has been violated by a reported breach is a means for identifying gaps in a policy. Our research goal is to help analysts measure the gaps between security policies and reported breaches by developing a systematic process based on semantic reasoning. We propose Semaver, a framework for determining coverage of breaches by policies via comparison of individual policy clauses and breach descriptions. We represent a security policy as a set of norms. Norms (commitments, authorizations, and prohibitions) describe expected behaviors of users, and formalize who is accountable to whom and for what. A breach corresponds to a norm violation. We develop a semantic similarity metric for pairwise comparison between the norm that represents a policy clause and the norm that has been violated by a reported breach. We use the US Health Insurance Portability and Accountability Act (HIPAA) as a case study. Our investigation of a subset of the breaches reported by the US Department of Health and Human Services (HHS) reveals the gaps between HIPAA and reported breaches, leading to a coverage of 65%. Additionally, our classification of the 1,577 HHS breaches shows that 44% of the breaches are accidental misuses and 56% are malicious misuses. We find that HIPAA's gaps regarding accidental misuses are significantly larger than its gaps regarding malicious misuses. |
| Starting Page | 530 |
| Ending Page | 540 |
| Page Count | 11 |
| File Format | |
| ISBN | 9781538638682 |
| ISSN | 15581225 |
| DOI | 10.1109/ICSE.2017.55 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-05-20 |
| Access Restriction | Subscribed |
| Subject Keyword | Breach ontology Semantic similarity Social norms Security and privacy breaches |
| Content Type | Text |
| Resource Type | Article |
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