International Institute of Information Technology, Hyderabad

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: Computer science & Authentication. 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).

Relative toxicity of neem to natural enemies associated with the chickpea ecosystem: a case study

Abstract: Neem products are often perceived as harmless to natural enemies, pollinators and other non-target organisms. For this reason, several integrated pest management (IPM) programmes have adopted neem as one of the prime components. This study revealed toxic effects of neem on soil-inhabiting and aerial natural enemies in chickpea to an extent of 41 and 29% population reduction, respectively, compared with 63 and 51% when using a conventional insecticide (endosulfan). Neem also affected the parasitization of Helicoverpa armigera (Hubner) larvae by Campoletis chlorideae Uchida up to 20%. The natural enemy population started building up from the vegetative phase and reached their peak during the reproductive phase, and there was a gradual decline from pod formation to pre-harvest phases of the crop. Adapting the currently used IPM system in chickpea using neem during the vegetative phase, followed by an application of Helicoverpa nuclear polyhedrosis virus (HNPV) at flowering and need-based application(s) of chitin inhibitors like novaluron or flufenoxuron instead of endosulfan during pod formation would strongly augment natural enemy populations. This paper discusses the relative toxicity of neem and other IPM components on soil-inhabiting and aerial natural enemies in the chickpea ecosystem.

Large scale visual localization in urban environments

Abstract: This paper introduces a vision based localization method for large scale urban environments. The method is based upon Bag-of-Words image retrieval techniques and handles problems that arise in urban environments due to repetitive scene structure and the presence of dynamic objects like vehicles. The localization system was experimentally verified it localization experiments along a 5km long path in an urban environment.

Discovering Fuzzy Periodic-Frequent Patterns in Quantitative Temporal Databases

Abstract: Periodic-frequent pattern mining is a challenging problem of great importance in many applications. Most previous works focused on finding these patterns in binary temporal databases and did not take into account the quantities of items within the data. This paper proposes a novel model of fuzzy periodic-frequent pattern (FPFP) that may exist in a quantitative temporal database (QTD). Finding FPFPs in QTD is a non-trivial and challenging task due to its huge search space. A novel pruning technique, called improved maximum scalar cardinality, has been introduced to effectively reduce the search space and the computational cost of finding the desired itemsets. This technique facilitates the mining of FPFPs in real-world very large databases practicable. An efficient algorithm has also been presented to find all FPFPs in a QTD. Experimental results demonstrate that the proposed algorithm is efficient. We also present a case study in which we apply our model to find useful information in air pollution database.

Comments on “ALAM: Anonymous Lightweight Authentication Mechanism for SDN Enabled Smart Homes”

Abstract: Smart home is intended to be able to enhance home automation systems and achieves goals such as reducing operational costs and increasing comfort while providing security to mobile users. However, an attacker may attempt security attacks in smart home environments because he/she can inject, insert, intercept, delete, and modify transmitted messages over an insecure channel. Secure and lightweight authentication protocols are essential to ensure useful services in smart home environments. In 2020, Iqbal et al. presented an anonymous lightweight authentication protocol for software-defined networking (SDN) enabled smart home, called ALAM. They claimed that ALAM protocol could resist security threats, and also provide secure mutual authentication and user anonymity. This comment demonstrates that ALAM protocol is fragile to various attacks, including session key disclosure, impersonation, and man-in-the-middle attacks, and also their scheme cannot provide user anonymity and mutual authentication. We propose the essential security guidelines to overcome the security flaws of ALAM protocol.