@conference {503, title = {Towards a Threat Model and Security Analysis for Data Cooperatives}, booktitle = {19th International Conference on Security and Cryptography (SECRYPT 2022)}, year = {2022}, abstract = {

Data cooperative (called {\textquotedblleft}data coop{\textquotedblright} for short) is an emerging approach in the area of secure data management. It promises its users a better protection and control of their data, as compared to the traditional way of their handling by the data collectors (such as governments, big data companies, and others). However, for the success of data coops, existing challenges with respect to data management systems need to be adequately addressed. Especially, they concern terms of security and privacy, as well as the power imbalance between providers/owners and collectors of data. Designing a security and privacy model for a data coop requires a systematic threat modeling approach that identifies the security landscape, attack vectors, threats, and vulnerabilities, as well as the respective mitigation strategies. In this paper, we analyze the security of data cooperatives, identify potential security risks and threats, and suggest adequate countermeasures. We also discuss existing challenges that hinder the widespread adoption of data coops.\ 

}, keywords = {Cybersecurity, Data Cooperatives, Secure Data Management, Security and Privacy., Threat Model}, doi = {10.5220/0011328700003283}, author = {Salau, Abiola and Dantu, Ram and Morozov, Kirill and Upadhyay, Kritagya and Badruddoja, Syed} } @conference {565, title = {Trusted AI with Blockchain to Empower Metaverse}, booktitle = {2022 Fourth International Conference on Blockchain Computing and Applications (BCCA)}, year = {2022}, abstract = {

The digital experience emerging in the virtual world is a reality with the advent of the metaverse. Augmented reality(AR), virtual reality(VR), extended reality(XR), and artificial intelligence(AI) algorithms would pave the way for an immersive experience for the users in the virtual space. However, the explosion of these technologies broaches new challenges to threaten the success of metaverse due to security risks. The blockchain technology augmented with AI promises to deliver a trusted metaverse for everyone. Nevertheless, smart contracts fail to produce a cognitive prediction, dissuading users from confiding in the metaverse. We arm smart contracts with intelligence to predict using AI algorithms. Moreover, we deploy the smart contracts on the Ethereum blockchain platform and produce a prediction accuracy of 95\% compared to Python scikit-learn-based predictions. Our results show that the prediction delay can obstruct the growth of metaverse applications to accept blockchain technologies. Furthermore, the limitation of blockchain technology can make integration unreasonable. Therefore, we discuss possible scalability solutions that can be part of our future work to help more metaverse applications adopt blockchain solutions.

}, doi = {10.1109/BCCA55292.2022.9922027}, author = {Badruddoja, Syed and Dantu, Ram and He, Yanyan and Thompson, Mark and Salau, Abiola and Upadhyay, Kritagya} } @article {358, title = {Technologies Shaping Transportation of the Future and Smart Cities}, year = {2018}, abstract = {

Connected vehicles and smart cities are two massively transformational technologies. We are already seeing an impact with the investments in economy and society in the connected vehicles and cities. While the private-sector leads the connected car technology investments, the technological development and smart cities innovation is led by state and local governments.\ 

}, author = {Davis, Jeff and Johnson, Steve and LeVine, Minna and Ram Dantu and Rojas-Levi, Elizabeth} } @article {376, title = {True Matching of Employers{\textquoteright} Needs}, year = {2018}, address = {Miami, Florida}, author = {Ram Dantu and Paul, Aditya} } @conference {268, title = {Towards Insider Threat Detection Using Psychophysiological Signals}, booktitle = {Proceedings of the 7th ACM CCS International Workshop on Managing Insider Security Threats}, year = {2015}, publisher = {ACM}, organization = {ACM}, address = {New York, NY, USA}, keywords = {brain computer interface, electroencephalograph, insider threat detection, physiological indicators}, isbn = {978-1-4503-3824-0}, doi = {10.1145/2808783.2808792}, url = {http://doi.acm.org/10.1145/2808783.2808792}, author = {Hashem, Yassir and Takabi, Hassan and GhasemiGol, Mohammad and Ram Dantu} } @conference {92, title = {Tire-road friction estimation utilizing smartphones}, booktitle = {Information Reuse and Integration (IRI), 2014 IEEE 15th International Conference on}, year = {2014}, month = {08/2014}, abstract = {

Tire-road friction is an important parameter for a number of different safety features present in modern-day vehicles, and the knowledge of this friction may also prove useful to the driver of a vehicle while it is in motion. In particular, this information may help inform a driver of dangerous low-traction situations that he or she may need to be aware of. Furthermore, since a growing number of drivers have access to Bluetooth-enabled smartphones, it is worth exploring how these devices may be leveraged in concert with vehicular CAN-bus networks to provide valuable safety information.

}, keywords = {Acceleration, Bluetooth, bluetooth-enabled smart phones, CAN-bus, controller area networks, dangerous low-traction situations, driver information systems, Estimation, friction, graphical user interfaces, mobile computing, road safety, road vehicles, Roads, Safety, safety information, smart phones, tire-road friction estimation, traction, tyres, vehicle safety features, Vehicles, vehicular CAN-bus networks, vehicular safety, Wheels}, doi = {10.1109/IRI.2014.7051980}, author = {Jaynes, Michael and Ram Dantu} } @article {52, title = {Towards Ubiquitous Computing with Call Prediction}, journal = {SIGMOBILE Mob. Comput. Commun. Rev.}, volume = {15}, year = {2011}, pages = {52{\textendash}64}, abstract = {

With the long-awaited era of the pervasive computing approaches, the handheld devices such as personal mobile phones begin to evolve into ubiquitous computing devices. At this early stage of the evolution, we propose a model of a call predictor based on the naive Bayesian classifier. As an incoming call predictor, our model makes use of the user{\^a}€™s call history to generate a list of numbers/contacts that are the most likely to be the callers within the next hour. On the other hand, when the user wants to make an outgoing call (e.g., user flips open the phone or unlocks the phone, etc.), the outgoing call predictor generates a list of number/contacts to be called. Our model has been evaluated with the real-life call logs and it shows a promising result in accuracy.

}, issn = {1559-1662}, doi = {10.1145/1978622.1978628}, url = {http://doi.acm.org/10.1145/1978622.1978628}, author = {Phithakkitnukoon, Santi and Ram Dantu} } @article {51, title = {A Testbed for Large Mobile Social Computing Experiments}, journal = {Int. J. Sen. Netw.}, volume = {8}, year = {2010}, pages = {89{\textendash}97}, abstract = {

We present a testbed for mobile social computing that can be used to perform research in security, privacy and context-awareness policies and mechanisms appropriate for a wide range of applications. We compare several mobile platforms and present the rational for our design choices and reasons we chose Android as the primary smartphone for the testbed. We also discuss some of the experiments that can be conducted using this testbed.

}, keywords = {context awareness, mobile communications, mobile computing, mobile devices, Privacy, Security, sensor information, sensors, smartphones, social computing, testbed, ubiquitous devices}, issn = {1748-1279}, doi = {10.1504/IJSNET.2010.034618}, url = {http://dx.doi.org/10.1504/IJSNET.2010.034618}, author = {Alazzawe, Ahmed and Alazzawe, Anis and Wijesekera, Duminda and Ram Dantu} } @conference {55, title = {A testbed for mobile social computing}, booktitle = {Testbeds and Research Infrastructures for the Development of Networks Communities and Workshops, 2009. TridentCom 2009. 5th International Conference on}, year = {2009}, month = {April}, abstract = {

We present a testbed for mobile social computing that can be used to perform research in security, privacy, and context-awareness policies and mechanisms appropriate for a wide range of applications. We compare several mobile platforms and present the rational for our design choices and reasons we chose Android as the primary smartphone for this testbed. We also discuss some of the possible experiments that can be conducted using the testbed.

}, keywords = {Acoustic sensors, Computer science, Computer security, context-awareness policy, data privacy, Feedback, Global Positioning System, mobile computing, mobile social computing, Performance evaluation, Privacy, privacy policy, security of data, security policy, Social network services, Testing}, doi = {10.1109/TRIDENTCOM.2009.4976250}, author = {Alazzawe, Ahmed and Alazzawe, Anis and Wijesekera, Duminda and Ram Dantu} } @conference {32, title = {Traffic Shaping of Spam Botnets}, booktitle = {2008 5th IEEE Consumer Communications and Networking Conference}, year = {2008}, month = {01/2008}, address = {Las Vegas, NV}, abstract = {

Compromised computers, known as bots, are the major source of spamming. Detecting them can help greatly improve control of unwanted traffic. In this paper, we develop a traffic control mechanism to detect and delay the traffic of suspicious senders and bots. By delaying spammer{\textquoteright}s traffic, it has been reported that 90\% of spam emails can be eliminated. In our proposed mechanism, we group spammers based on their behavior and transmission patterns. These patterns of spammers show high correlation between group members irrespective of geographic location, network ID, content, and kind of receivers. After identification of these botnet groups we applied traffic shaping techniques a pre-filtering analysis to avoid use of automated machines(bots) to spam a particular domain. Thus the source for majority of spam is blocked before reaching email servers. We also identify how randomly the botnets behave and how easy it is to capture a botnet behavior, based on Information theory. To our knowledge, there is no work reported on detecting and mitigating botnets based on their behavior and in particular transmission patterns.

}, keywords = {automated machine, compromised computer, E-mail server, Internet, prefiltering analysis, spam botnets, spammer traffic, spamming, suspicious senders, telecommunication network management, telecommunication traffic, traffic control mechanism, traffic shaping, unsolicited e-mail}, doi = {10.1109/ccnc08.2007.181}, author = {Husna, Husain and Phithakkitnukoon, Santi and Ram Dantu} } @article {196, title = {A Testbed for Research and Development for Securing IP Multimedia Communication Services}, year = {2007}, month = {06/2007}, publisher = {NSF CRI PI Meeting}, address = {Boston, MA}, author = {Ram Dantu} } @article {177, title = {A Testbed for Research and Development For Securing Multimedia Communication Services}, year = {2006}, month = {06/2006}, publisher = {NSF Workshop on Computing Research Infrastructure}, address = {Snowbird, Utah}, author = {Ram Dantu} } @article {178, title = {Top 3 challenges in VoIP Security and Management}, year = {2006}, month = {04/2006}, publisher = {1st IEEE International Workshop on VoIP Security and Management (VoIPMaSE)}, address = {Vancouver, BC, Canada}, author = {Ram Dantu} } @article {183, title = {Technology and Policy in securing Voice over IP}, year = {2005}, month = {06/2005}, publisher = {2nd Workshop on Voice over IP Security}, address = {Washington, DC}, author = {Ram Dantu} } @article {193, title = {To Patch or Not to Patch}, year = {2005}, month = {04/2005}, pages = {48-49}, author = {Ram Dantu} } @article {192, title = {Top Ten Recommendations for PACS Security Implementation}, year = {2005}, month = {03/2005}, author = {Ram Dantu and Oosterwijk, Herman} }