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Institution

International Institute of Information Technology, Hyderabad

EducationHyderabad, India
About: International Institute of Information Technology, Hyderabad is a education organization based out in Hyderabad, India. It is known for research contribution in the topics: Authentication & Internet security. The organization has 2048 authors who have published 3677 publications receiving 45319 citations. The organization is also known as: IIIT Hyderabad & International Institute of Information Technology (IIIT).


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors investigated three case studies the entrepreneurial encouragement offerings applied at MIT in the United States, IIIT in India, and Utrecht University in the Netherlands and provided insight in how student entrepreneurship encouragement offerings contributed to students choosing a career as an entrepreneur.

118 citations

Journal ArticleDOI
TL;DR: A new lightweight hash-chain-based and forward secure authentication scheme for wireless body area networks in health-care IoT that is secure against various known attacks obliged for WBANs, and it supports more security features compared to related schemes.

118 citations

Journal ArticleDOI
TL;DR: A rigorous literature review to inspect the state-of-the-art development of the schemes that provide information security using blockchain technology and revealed the security goals towards which the research has been directed and helped to identify new avenues for future research using artificial intelligence.
Abstract: Agriculture is a vital area for the sustenance of mankind engulfing manufacturing, security, traceability, and sustainable resource management. With the resources receding expeditiously, it is of utmost significance to innovate techniques that help in the subsistence of agriculture. The growth of Internet of Things (IoT) and Blockchain technology as two rapidly emerging fields can ameliorate the state of food chain today. This paper provides a rigorous literature review to inspect the state-of-the-art development of the schemes that provide information security using blockchain technology. After identifying the core requirements in smart agriculture, a generalized blockchain-based security architecture has been proposed. A detailed cost analysis has been conducted on the studied schemes. A meticulous comparative analysis uncovered the drawbacks in existing research. Furthermore, detailed analysis of the literature has also revealed the security goals towards which the research has been directed and helped to identify new avenues for future research using artificial intelligence.

117 citations

Journal ArticleDOI
TL;DR: This paper proposes a new certificate-based “lightweight access control and key agreement protocol in the IoT environment, called LACKA-IoT,” that utilizes the elliptic curve cryptography (ECC) along with the “collision-resistant one-way cryptographic hash function.”
Abstract: For secure communication between any two neighboring sensing devices on the Internet of Things (IoT) environment, it is essential to design a secure device access control and key agreement protocol, in which the two phases, namely, “node authentication” and “key agreement” are involved. While the node authentication allows two sensing devices to authenticate each other using their own pre-loaded secret credentials in memory, the key agreement phase permits to establish a secret key between them if the mutual authentication is successful. In this paper, we propose a new certificate-based “lightweight access control and key agreement protocol in the IoT environment, called LACKA-IoT,” that utilizes the elliptic curve cryptography (ECC) along with the “collision-resistant one-way cryptographic hash function.” Through a detailed security analysis using the formal security under the “Real-Or-Random (ROR) model,” informal (non-mathematical) security analysis, and formal security verification using the broadly used “Automated Validation of Internet Security Protocols and Applications (AVISPA)” tool, we show that the LACKA-IoT can protect various known attacks that are needed for a secure device access control mechanism in the IoT. Furthermore, through a comparative study of the LACKA-IoT and other relevant schemes, we show that there is a better tradeoff among the security and functionality features and communication and computational costs of the LACKA-IoT as compared to other schemes. Finally, the “practical demonstration using the NS2 simulation” has been carried out on the LACKA-IoT to measure various network parameters.

116 citations

13 Jun 2013
TL;DR: A series of 3-class sentiment classification experiments on a set of 2,624 tweets produced during the run-up to the Irish General Elections in February 2011, achieving the highest accuracy using supervised learning and a feature set consisting of subjectivity-lexicon-based scores, Twitter- specific features and the top 1,000 most dis- criminative words.
Abstract: We perform a series of 3-class sentiment classification experiments on a set of 2,624 tweets produced during the run-up to the Irish General Elections in February 2011. Even though tweets that have been labelled as sarcastic have been omitted from this set, it still represents a difficult test set and the highest accuracy we achieve is 61.6% using supervised learning and a feature set consisting of subjectivity-lexicon-based scores, Twitter- specific features and the top 1,000 most dis- criminative words. This is superior to various naive unsupervised approaches which use subjectivity lexicons to compute an overall sentiment score for a pair.

115 citations


Authors

Showing all 2066 results

NameH-indexPapersCitations
Ravi Shankar6667219326
Joakim Nivre6129517203
Aravind K. Joshi5924916417
Ashok Kumar Das562789166
Malcolm F. White5517210762
B. Yegnanarayana5434012861
Ram Bilas Pachori481828140
C. V. Jawahar454799582
Saurabh Garg402066738
Himanshu Thapliyal362013992
Monika Sharma362384412
Ponnurangam Kumaraguru332696849
Abhijit Mitra332407795
Ramanathan Sowdhamini332564458
Helmut Schiessel321173527
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202310
202229
2021373
2020440
2019367
2018364