In this paper, we approach the problem of identifying a set of objects in an RFID network. We propose a modified version of Slotted Aloha protocol to reduce the number of transmission collisions. All tags select a slot to transmit their ID by generating a random number. If there is a collision in a slot, the reader broadcasts the next identification request only to tags which collided in that slot. Simulation results show that our approach performs better than Framed Slotted Aloha and query tree based protocols, in terms of number of slots needed to identify all tags, which is a commonly used metric, strictly related to delay

A systematic literature review is presented that surveyed the topic of cloud testing over the period 2012--2017. Cloud testing can refer either to testing cloud-based systems (testing of the cloud) or to leveraging the cloud for testing purposes (testing in the cloud): both approaches (and their combination into testing of the cloud in the cloud) have drawn research interest. An extensive paper search was conducted by both automated query of popular digital libraries and snowballing, which resulted in the final selection of 147 primary studies. Along the survey, a framework has been incrementally derived that classifies cloud testing research among six main areas and their topics. The article includes a detailed analysis of the selected primary studies to identify trends and gaps, as well as an extensive report of the state-of-the-art as it emerges by answering the identified Research Questions. We find that cloud testing is an active research field, although not all topics have received enough attention and conclude by presenting the most relevant open research challenges for each area of the classification framework.

A widely adopted security mechanism is the specification of access control policies by means of the XACML language. In this paper, we propose a framework, called X-CREATE, for the systematic generation of test inputs (XACML requests). Differently from existing tools, XCREATE exploits the XACML Context Schema. In particular, the tool applies a XML-based methodology (XPT) to systematically produce a set of intermediate instances, covering the XACML Context Schema. Moreover, for request generation, X-CREATE applies a procedure for parsing the policy under test and assigning values to the generated intermediate instances. The aim of the proposed framework is twofold: testing of policy evaluation engines and testing of access control policies. The experimental results show that the fault detection effectiveness of X-CREATE is similar or higher than that of existing approaches.

Access control policies are usually specified by the XACML language. However, policy definition could be an error prone process, because of the many constraints and rules that have to be specified. In order to increase the confidence on defined XACML policies, an accurate testing activity could be a valid solution. The typical policy testing is performed by deriving specific test cases, i.e. XACML requests, that are executed by means of a PDP implementation, so to evidence possible security lacks or problems. Thus the fault detection effectiveness of derived test suite is a fundamental property. To evaluate the performance of the applied test strategy and consequently of the test suite, a commonly adopted methodology is using mutation testing. In this paper, we propose two different methodologies for deriving XACML requests, that are defined independently from the policy under test. The proposals exploit the values of the XACML policy for better customizing the generated requests and providing a more effective test suite. The proposed methodologies have been compared in terms of their fault detection effectiveness by the application of mutation testing on a set of real policies.