Ram Krishnan

Toward Deep Learning Based Access Control

A common trait of current access control approaches is the challenging need to engineer abstract and intuitive access control models. This entails designing access control information in the form...

Machine Learning in Access Control: A Taxonomy and Survey

An increasing body of work has recognized the importance of exploiting machine learning (ML) advancements to address the need for efficient automation in extracting access control attributes,...

Attribute Based Administration of Role Based Access Control : A Detailed Description

Administrative Role Based Access Control (ARBAC) models deal with how to manage user-role assignments (URA), permission-role assignments (PRA), and role-role assignments (RRA). A wide variety of...

A Model for Attribute Based Role-Role Assignment (ARRA)

Administrative Role Based Access Control (ARBAC) models specify how to manage user-role assignments (URA), permission-role assignments (PRA), and role-role assignments (RRA). Many approaches have...

Toward a framework for detecting privacy policy violations in android application code

PVDetector: a detector of privacy-policy violations for Android apps

ParaSDN: An Access Control Model for SDN Applications based on Parameterized Roles and Permissions

AARBAC: Attribute-Based Administration of Role-Based Access Control

RT-based administrative models for community cyber security information sharing

A lattice interpretation of group-centric collaboration with expedient insiders

Towards Secure Information Sharing models for community Cyber Security

Role and attribute based collaborative administration of intra-tenant cloud IaaS

Towards a framework for group-centric secure collaboration

An open NFV and cloud architectural framework for managing application virality behaviour

Access Control Policy Generation from User Stories Using Machine Learning

Online Malware Detection in Cloud Auto-scaling Systems Using Shallow Convolutional Neural Networks

A Unified Attribute-Based Access Control Model Covering DAC, MAC and RBAC

An Autoencoder-Based Image Anonymization Scheme for Privacy Enhanced Deep Learning