Visible to the public Biblio

Filters: Author is Vouk, Mladen A.  [Clear All Filters]
2015-10-11
Kim, Donghoon, Schaffer, Henry E., Vouk, Mladen A..  2015.  About PaaS Security. 3rd International IBM Cloud Academy Conference (ICACON 2015).

Platform as a Service (PaaS) provides middleware resources to cloud customers. As demand for PaaS services increases, so do concerns about the security of PaaS. This paper discusses principal PaaS security and integrity requirements, and vulnerabilities and the corresponding countermeasures. We consider three core cloud elements: multi-tenancy, isolation, and virtualization and how they relate to PaaS services and security trends and concerns such as user and resource isolation, side-channel vulnerabilities in multi-tenant environments, and protection of sensitive data

2014-09-17
Venkatakrishnan, Roopak, Vouk, Mladen A..  2014.  Diversity-based Detection of Security Anomalies. Proceedings of the 2014 Symposium and Bootcamp on the Science of Security. :29:1–29:2.

Detecting and preventing attacks before they compromise a system can be done using acceptance testing, redundancy based mechanisms, and using external consistency checking such external monitoring and watchdog processes. Diversity-based adjudication, is a step towards an oracle that uses knowable behavior of a healthy system. That approach, under best circumstances, is able to detect even zero-day attacks. In this approach we use functionally equivalent but in some way diverse components and we compare their output vectors and reactions for a given input vector. This paper discusses practical relevance of this approach in the context of recent web-service attacks.

Yu, Xianqing, Ning, Peng, Vouk, Mladen A..  2014.  Securing Hadoop in Cloud. Proceedings of the 2014 Symposium and Bootcamp on the Science of Security. :26:1–26:2.

Hadoop is a map-reduce implementation that rapidly processes data in parallel. Cloud provides reliability, flexibility, scalability, elasticity and cost saving to customers. Moving Hadoop into Cloud can be beneficial to Hadoop users. However, Hadoop has two vulnerabilities that can dramatically impact its security in a Cloud. The vulnerabilities are its overloaded authentication key, and the lack of fine-grained access control at the data access level. We propose and develop a security enhancement for Cloud-based Hadoop.