Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Gangadhara Reddy Sirigireddy

dblp:252/4111 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Privacy and data protection · 50% Systems and software security · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Privacy and data protection
data masking
0.412019
pFilter: Retrofitting Legacy Applications for Data Privacy · CCS 2019
Systems and software security › application security
legacy code security
0.412019
pFilter: Retrofitting Legacy Applications for Data Privacy · CCS 2019

Methods — techniques the papers use, named apart from their topics

dynamic masking · 0.4context-based locality searching · 0.4
YearPublicationVenuePosition
2019 pFilter: Retrofitting Legacy Applications for Data Privacy
abstract
Enterprise needs to process customer data for providing tailored services to them, however, the data often includes sensitive and personally identifiable information. This leads to a difficult situation wherein the enterprise has to balance the necessity to process the sensitive data with the requirement to safeguard its privacy. The problem is more prominent in legacy applications with almost no privacy controls in place. A well-studied technique to retrofit legacy application is to mask sensitive content before it is rendered on the screen using path based methods. In this work we show the gap in the existing state of art and describe a dynamic system which utilizes a context to perform locality based searching and masking of sensitive content.
Manish Shukla 0001, Kumar Vidhani, Gangadhara Reddy Sirigireddy, Vijayanand Banahatti, Sachin Lodha
CCS3