MD-SOAR: Recent submissions
Now showing items 1-20 of 7149
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A Deep Learning Approach to Understanding Cloud Service Level Agreements
(2017-05-24)Educational organizations, like Universities and School Systems, are rapidly adopting Cloud based services to provide Information Technology (IT) infrastructure to their students. These include course offerings, class ... -
Using Deep Neural Networks to Translate Multi-lingual Threat Intelligence
(IEEE, 2018-09-19)The multilingual nature of the Internet increases complications in the cybersecurity community's ongoing efforts to strategically mine threat intelligence from OSINT data on the web. OSINT sources such as social media, ... -
Understanding the Logical and Semantic Structure of Large Documents
(SIAM, 2017-04-27)Up-to-the-minute language understanding approaches are mostly focused on small documents such as newswire articles, blog posts, product reviews and discussion forum en- tries. Understanding and extracting information from ... -
Understanding and representing the semantics of large structured documents
(2018-10-08)Understanding large, structured documents like scholarly articles, requests for proposals or business reports is a complex and difficult task. It involves discovering a document's overall purpose and subject(s), understanding ... -
Thinking, Fast and Slow: Combining Vector Spaces and Knowledge Graphs
Knowledge graphs and vector space models are robust knowledge representation techniques with individual strengths and weaknesses. Vector space models excel at determining similarity between concepts, but are severely ... -
Temperature-dependent coherent carrier transport in quantum cascade lasers
(IOP Publishing and Deutsche Physikalische Gesellschaft, 2011-08-24)The temperature dependence of coherent carrier transport in quantum cascade lasers (QCLs) is studied in this paper. It was found that coherent carrier transport in QCLs decreases as the temperature increases because the ... -
Semantically Rich, Context Aware Access Control for Openstack
(IEEE, 2018-09-01)In an open source cloud computing platform such as OpenStack, operators use Role-Based Access Control (RBAC) model to grant access to cloud resources. However, these user-level role-based access control techniques fail to ... -
Semantic knowledge and privacy in the physical web
(CEUR, 2016-10-18)In the past few years, the Internet of Things has started to become a reality; however, its growth has been hampered by privacy and security concerns. One promising approach is to use Semantic Web technologies to mitigate ... -
Secure Power Trading in Cooperative Relay Network With Asymmetric Cournot Duopoly Model
(2017-05-31)Abstract—In this paper, we consider a source, which communicates to destination, with cooperation of a relay node. An eavesdropper is tapping the second hop, when all the links undergo Rayleigh fading. Relay nodes are the ... -
Secrecy Performance of Threshold-Based Decode-and-Forward Cooperative Cognitive Radio Network
(IET, 2017-02-28)This study evaluates the intercept and outage probability of a decode-and-forward (DF) underlay cognitive radio network. The secondary users are subject to interference limitations from the primary network, with an ... -
Secrecy Performance of Threshold-Based Cognitive Relay Network With Diversity Combining
(IEEE, 2018-10-01)In the spectrum sharing mode, the transmitting power of the secondary user (SU) is optimally controlled, such that no additional interference occurs at the primary user (PU). In this paper, the secrecy outage performance ... -
Secrecy Outage Performance of Cooperative Relay Network With Diversity Combining
(IEEE, 2017-12-01)In this paper, the secrecy outage probability of threshold-based decode-and-forward (DF) cooperative relay network is evaluated. Unlike other works to date, we assume combining of direct and relayed signals both at the ... -
Secrecy Outage of Cooperative Relay Network With and Without Eavesdropper’s Direct Link
(IEEE, 2017-10-23)In this paper, a source communicates to the destination with the cooperation of a relay, in the presence of an eavesdropper. All the links undergo Rayleigh fading and perfect decoding at the relays is not considered. The ... -
Preserving User Privacy and Security in Context-Aware Mobile Platforms
(IGA Global, 2016-10-31)Contemporary smartphones are capable of generating and transmitting large amounts of data about their users. Recent advances in collaborative context modeling combined with a lack of adequate permission model for handling ... -
Personalizing context-aware access control on mobile platforms
(IEEE, 2017-12-14)Context-sensitive access control has been a research topic within mobile computing for more than a decade. Much of the work has focused on modeling context and representing policies. Choosing an appropriate policy for a ... -
The role of diversity in data‐driven analysis of multi‐subject fMRI data: Comparison of approaches based on independence and sparsity using global performance metrics
(Wiley Periodicals, 2018-09-21)Data‐driven methods have been widely used in functional magnetic resonance imaging (fMRI) data analysis. They extract latent factors, generally, through the use of a simple generative model. Independent component analysis ... -
Semantically Rich, Oblivious Access Control Using ABAC for Secure Cloud Storage
(IEEE, 2017-09-11)Securing their critical documents on the cloud from data threats is a major challenge faced by organizations today. Controlling and limiting access to such documents requires a robust and trustworthy access control mechanism. ... -
Participation in TAC KBP 2017: Cold Start TEDL and Low-resource EDL
The JHU HLTCOE participated in the Cold Start and the edl tasks of the 2017 Text Analysis Conference Knowledge Base Population evaluation. For our sixth year of participation in Cold Start we continued our research with ... -
Ontology-Grounded Topic Modeling for Climate Science Research
(AKA Verlag, Berlin, 2018-10-08)In scientific disciplines where research findings have a strong impact on society, reducing the amount of time it takes to understand, synthesize and exploit the research is invaluable. Topic modeling is an effective ... -
On Detecting False Data Injection with Limited Network Information using Statistical Techniques
(IEEE, 2018-02-01)Cyber-attacks poses a serious threat to power system operation. False data injection attack (FDIA) is one such severe threat, if wisely constructed, can cause flawed estimation of power system states, thereby, leading to ...