Acropolis Institute of Technology & Research

About: Acropolis Institute of Technology & Research is a based out in . It is known for research contribution in the topics: Secure multi-party computation & Cryptography. The organization has 114 authors who have published 169 publications receiving 1145 citations.

An automatic detection of focal EEG signals using new class of time–frequency localized orthogonal wavelet filter banks

Abstract: It is difficult to detect subtle and vital differences in electroencephalogram (EEG) signals simply by visual inspection. Further, the non-stationary nature of EEG signals makes the task more difficult. Determination of epileptic focus is essential for the treatment of pharmacoresistant focal epilepsy. This requires accurate separation of focal and non-focal groups of EEG signals. Hence, an intelligent system that can detect and discriminate focal–class (FC) and non–focal–class (NFC) of EEG signals automatically can aid the clinicians in their diagnosis. In order to facilitate accurate analysis of non-stationary signals, joint time–frequency localized bases are highly desirable. The performance of wavelet bases is found to be effective in analyzing transient and abrupt behavior of EEG signals. Hence, we employ a novel class of orthogonal wavelet filter banks which are localized in time–frequency domain to detect FC and NFC EEG signals automatically. We classify EEG signals as FC and NFC using the proposed wavelet based system. We compute various entropies from the wavelet coefficients of the signals. These entropies are used as discriminating features for the classification of FC and NFC of EEG signals. The features are ranked using Student’s t-test ranking algorithm and then fed to Least Squares-Support Vector Machine (LS–SVM) to classify the signals. Our proposed method achieved the highest classification accuracy of 94.25%. We have obtained 91.95% sensitivity and 96.56% specificity, respectively, using this method. The classification of FC and NFC of EEG signals helps in localization of the affected brain area which needs to undergo surgery.

Security issues in MANET: A review

Abstract: Sometimes the physically distributed computing devices in a network may be interested in computing some function of their private inputs without disclosing these inputs to one another. This type of computation falls under the category of Secure Multiparty Computation (SMC). The solution to SMC problems in Mobile Ad hoc Networks (MANET) can be found with the modification of the data inputs or with some anonymization technique. MANETs are the wireless networks of the mobile computing devices with no support of any fixed infrastructure. The mobile nodes use any of the radio technology like Bluetooth, IEEE 802.11 or Hiperlan for directly communicating with each other. The nodes behave as hosts as well as routers. The security challenges in the MANET arise due to its dynamic topology, vulnerable wireless link and nomadic environment. An identification mechanism is needed between the nodes using identification and the credentials. This security architecture simultaneously leads to privacy problems. Some mechanism is needed which prevents a node to learn the identity or the credentials of other nodes. To provide location privacy in MANET is a nontrivial task. Current routing protocols do not focus much on the security and the privacy issues. These aspects are postponed till further development. An authentication protocol is needed between nodes using some cryptographic technique. In service-oriented MANET the denial of the service must be taken care of so that the availability of the service is maintained. The security requirement of the ad hoc network depends on its application. For example, for a simple business meeting the requirement is mitigated and for the military battlefield it is severe. Thus no general security architecture can be developed for MANET. Specific security architecture is needed for specific application. Much security related work is still pending and will add to the standards as the physical deployment of the MANET will grow. In this paper, an emphasis is made on how SMC solutions can be used for privacy preservation during computation.

Dose-dependent effect of silver nanoparticles (AgNPs) on fertility and survival of Drosophila: An in-vivo study

Abstract: Silver nanoparticles (AgNPs) containing consumer products have been proliferating in the market due to its unique antimicrobial property, however, lack of in-depth knowledge about their potential effect on human health in a longer run is of great concern Therefore, we investigated dose-dependent in vivo effect of AgNPs using Drosophila as a model system Drosophila, a genetically tractable organism with distinct developmental stages, short life cycle and significant homology with human serves as an ideal organism to study nanomaterial-mediated toxicity Our studies suggest that ingestion of AgNPs in Drosophila during adult stage for short and long duration significantly affects egg laying capability along with impaired growth of ovary Additionally, dietary intake of AgNPs from larval stage has more deleterious effects that result in reduced survival, longevity, ovary size and egg laying capability at a further lower dosage Interestingly, the trans-generational effect of AgNPs was also observed without feeding progeny with AgNPs, thereby suggesting its impact from previous generation Our results strongly imply that higher doses of AgNPs and its administration early during development is detrimental to the reproductive health and survival of Drosophila that follows in generations to come without feeding them to AgNPs