@article {364, title = {The Future is Connected: How Can it be Cyber Secure?}, year = {2018}, author = {Davis, Jeff and Khalfan, Shaun and Tiene, Rick and Ram Dantu} } @conference {281, title = {Feedback Control for Resiliency in Face of an Attack}, booktitle = {Proceedings of the 12th Annual Conference on Cyber and Information Security Research}, year = {2017}, publisher = {ACM}, organization = {ACM}, address = {New York, NY, USA}, abstract = {

Distributed Denial of Service(DDoS) attacks are inevitable. The existing defensive mechanisms are relatively outdated. In this paper, we present a passive mechanism to reduce the impact of an attack on the network. We designed and implemented a robust feedback architecture, to maintain the stability of the network despite attacks. During an attack, the controller of the feedback architecture detects the irregularities in the response time and the necessary changes are made to the configuration to maintain the network in steady state. In this approach first, we model the network using black-box system identification technique. Second, we validate the model with test data by conducting various experiments such as varying the network topology. Last, we test the model with the feedback architecture built in our lab environment. Results show that the feedback architecture provides an average model fit accuracy with positive results.

}, isbn = {978-1-4503-4855-3}, doi = {10.1145/3064814.3064815}, url = {http://doi.acm.org/10.1145/3064814.3064815}, author = {Vempati, Jagannadh and Thompson, Mark and Ram Dantu} } @article {230, title = {Fitts Law Extensions for Multiple Joint Movements}, volume = {96}, year = {2015}, pages = {e61}, doi = {10.1016/j.apmr.2015.08.205}, author = {Gupta, Neeraj and Ram Dantu and Dantu, Siva and Nana, Arvind} } @conference {88, title = {A framework for secured collaboration in mHealth}, booktitle = {Collaboration Technologies and Systems (CTS), 2015 International Conference on}, year = {2015}, month = {06/2015}, abstract = {

We have designed a novel framework of services, protocols and technologies to ensure the secure collaboration in M2M networks, specifically in mobile health. The promise of mobile health to reform preventive self-care opens new doors for remote monitoring to improve health care communication. With cardiopulmonary resuscitation (CPR) as an example, we classify our M2M elements into services, roles, human-computer protocols and technologies through which we require trust, anonymity, scalability, and active detachment. We simulate a scenario in which a patient needs CPR and through the use of widely available technologies (such as a smartphone and secure web sockets) we demonstrate a technological collaboration that facilitates secure emergency mobile health services.

}, keywords = {cardiology, cardiopulmonary resuscitation, Cardiopulmonary resuscitation(CPR), Collaboration, Computers, CPR, health care, health care communication, human computer interaction, human-computer protocol, M2M network, machine to machine(M2M), Medical services, mHealth, Mobile communication, mobile computing, mobile health, Protocols, remote monitoring, Scalability, secure collaboration, secure emergency mobile health services, secured collaboration, security of data, servers, smart phones, smartphone}, doi = {10.1109/CTS.2015.7210450}, author = {Widick, Logan and Talkington, Josh and Bajwa, Garima and Ram Dantu} } @conference {95, title = {Finger Blood Flow Monitoring Using Smart Phones}, booktitle = {Proceedings of the 8th International Conference on Body Area Networks}, year = {2013}, publisher = {ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)}, organization = {ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)}, address = {ICST, Brussels, Belgium, Belgium}, abstract = {

The use of smart phones in healthcare applications is growing steadily. The inbuilt sensors are used to estimate the value of physiological data from human body. With progressive innovation, smart phone based medical applications will continue to be developed at an exponential rate. In this paper, we show that a smart phone can be used to monitor the blood flow in finger, based on the pulse height obtained from the fingertips. This is achieved by using the camera lens and the flash light of the smart phone. The height of the pulse rises along with the surrounding temperature indicating that the blood flow increases when the temperature becomes warmer. This study shows that there is a potential to monitor regulation of body temperature using smart phone.

}, keywords = {finger blood flow, finger pulse, mobile health, smart phone}, isbn = {978-1-936968-89-3}, doi = {10.4108/icst.bodynets.2013.253704}, url = {http://dx.doi.org/10.4108/icst.bodynets.2013.253704}, author = {Thiyagaraja, Shanti and Ram Dantu} } @article {18, title = {Fast Worm Containment Using Feedback Control}, journal = {IEEE Transactions on Dependable and Secure Computing}, volume = {4}, year = {2007}, pages = {119 - 136}, abstract = {

In a computer network, network security is accomplished using elements such as firewalls, hosts, servers, routers, intrusion detection systems, and honey pots. These network elements need to know the nature or anomaly of the worm a priori to detect the attack. Modern viruses such as Code Red, Sapphire, and Nimda spread quickly. Therefore, it is impractical if not impossible for human mediated responses to these fast-spreading viruses. Several epidemic studies show that automatic tracking of resource usage and control provides an effective method to contain the damage. In this paper, we propose a novel security architecture based on the control system theory. In particular, we describe a state-space feedback control model that detects and control the spread of these viruses or worms by measuring the velocity of the number of new connections an infected host makes. The mechanism{\textquoteright}s objective is to slow down a worm{\textquoteright}s spreading velocity by controlling (delaying) the number of new connections made by an infected host. A proportional and integral (PI) controller is used for a continuous control of the feedback loop. The approach proposed here has been verified in a laboratory setup, and we were able to contain the infection so that it affected less than 5 percent of the hosts. We have also implemented a protocol for exchanging control-specific information between the network elements. The results from the simulation and experimental setup combined with the sensitivity analysis demonstrate the applicability and accuracy of the approach.

}, keywords = {communication/networking and information technology, computer networks, Computer systems organization, control engineering computing, general, invasive software, network security, network-level security and protection, PI control, process control systems., proportional-integral controller, special-purpose and application-based systems, state feedback, state-space feedback control, state-space methods, telecommunication security, worm containment}, doi = {10.1109/TDSC.2007.1002}, author = {Ram Dantu and Cangussu, Jo{\~a}o and Patwardhan, Sudeep} } @article {175, title = {Future Threats}, year = {2006}, month = {09/2006}, publisher = {NSF Workshop on Future Topics for Cyber Trust}, author = {Ram Dantu} } @article {6, title = {Forwarding and Control Element Separation (ForCES) Framework}, year = {2004}, month = {04/2004}, publisher = {RFC Editor}, issn = {2070-1721}, author = {Yang, L and Ram Dantu and Anderson, Todd and Gopal, Ram} }