Visible to the public Biblio

Filters: Author is Srivastava, Mani  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
C
Noor, Joseph, Ali-Eldin, Ahmed, Garcia, Luis, Rao, Chirag, Dasari, Venkat R., Ganesan, Deepak, Jalaian, Brian, Shenoy, Prashant, Srivastava, Mani.  2019.  The Case for Robust Adaptation: Autonomic Resource Management is a Vulnerability. MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM). :821–826.
Autonomic resource management for distributed edge computing systems provides an effective means of enabling dynamic placement and adaptation in the face of network changes, load dynamics, and failures. However, adaptation in-and-of-itself offers a side channel by which malicious entities can extract valuable information. An attacker can take advantage of autonomic resource management techniques to fool a system into misallocating resources and crippling applications. Using a few scenarios, we outline how attacks can be launched using partial knowledge of the resource management substrate - with as little as a single compromised node. We argue that any system that provides adaptation must consider resource management as an attack surface. As such, we propose ADAPT2, a framework that incorporates concepts taken from Moving-Target Defense and state estimation techniques to ensure correctness and obfuscate resource management, thereby protecting valuable system and application information from leaking.
V
Liu, Renju, Srivastava, Mani.  2018.  VirtSense: Virtualize Sensing Through ARM TrustZone on Internet-of-Things. Proceedings of the 3rd Workshop on System Software for Trusted Execution. :2–7.
Internet-of-Things (IoTs) are becoming more and more popular in our life. IoT devices are generally designed for sensing or actuation purposes. However, the current sensing system on IoT devices lacks the understanding of sensing needs, which diminishes the sensing flexibility, isolation, and security when multiple sensing applications need to use sensor resources. In this work, we propose VirtSense, an ARM TrustZone based virtual sensing system, to provide each sensing application a virtual sensor instance, which further enables a safe, flexible and isolated sensing environment on the IoT devices. Our preliminary results show that VirtSense: 1) can provide virtual sensor instance for each sensing application so that the sensing needs of each application will be satisfied without affecting others; 2) is able to enforce access control policy even under an untrusted environment.