The enterprises are facing constant security threats with the emergence of new mobile computing devices like smartphones, smartwatches, and wearables. The existing digital forensic enabled security solutions are not able ...
RDF data management has received a lot of attention in the past decade due to the
widespread growth of Semantic Web and Linked Open Data initiatives. RDF data is expressed in the form of triples (as Subject - Predicate - ...
Automatic face recognition in unconstrained environments is a popular and challenging research problem. With the improvements in recognition algorithms, focus has shifted from addressing various covariates individually to ...
The current state of digital forensic investigation is continuously challenged by the rapid technological changes, the increase in the use of digital devices (both the heterogeneity and the count), and the sheer volume of ...
Memory or RAM of a device contains a lot of data.This work focuses on how to ensure security
of our critical data like our passwords or encryption keys stored in the memory which if become
public can pose a big security ...
This project includes learning of big data tools like Apache Storm, elastic search, and data visualisations library like D3. Started with understanding how social media analytics tools work and
done code refactoring, UI/UX ...
This project involves the identification of miRNAs that are differentially expressed across Indolent Vs Progressive and Case Vs Control samples in Chronic Lymphocytic Leukemia (CLL). For
this, we have analysed miRNA ...
An emerging trend in developing regions is to give users access to certain Internet services for
free (or zero-rated) over cellular connections from phones. This can help bring the Internet
to users who otherwise could ...
Sum of submodular function minimization is a combinatorial optimization problem(NP-Hard),
We begin with the Submodular function minimization and extending it to Sum of submodular
function(SOS), there are different ...
Did you know that India is now the home to world's largest number of blind people? 41% of
the blind population are from India. And one of the real security concerns of visually impaired
persons is that whether they get ...
In the era of big data where every individual is a target of intensive data collection, there is a
need to create technological tools that empower individuals to track what happens to their data.
Provenance has been ...
Use of higher order clique potentials in MRF-MAP problems has been limited primarily because of the inefficiencies of the existing algorithmic schemes. A combinatorial algorithm called
Generic Cuts Algorithm was proposed ...
Given a question on a crowd sourced Q&A platform, we tried to gauge the difficulty of the
question. Earlier, we tried various NLP based techniques for this purpose. Now, we tried various
graph models in order to model ...
The following report discusses various facial recognition spoofing techniques in
use today, and compares various algorithms, that have been developed for
detecting the same. Continuing towards the previous semester’s ...
The goal of our BTP is to make realistic looking residential society having 3D models of villas,
apartments including the interior designing of the villas and apartments. Last Semester we
made the autocad files of the ...
Goel, Mansi; Garcia, David (Advisor); Kumaraguru, Ponnurangam (Advisor)(IIIT-Delhi, 2017-11-16)
In online social networks, users may choose to keep a lot of important information in the private
domain. Users may choose to hide their location, gender, interests, and affiliations. With usage
of social networks and ...
The main aim of a scam campaign is to get the maximum monetary benefit with maximum
reach and least infrastructure. This makes Online Social Networks (OSNs) such as Facebook
and Twitter prime targets for such campaigns. ...
Pose estimation is a fundamental problem in computer vision and is prevalent in numerous
applications such as object-detection, tracking etc. Generally, in pose estimation between two
camera views, we have 6 degrees of ...
Enumerating maximal bicliques is essential to analyze several biological networks. For example
bicliques in gene expression data helps us to maps a set of genes to their biological function.
Statistical methods have been ...