Misusability Measure Based Sanitization of Big Data for Privacy Preserving MapReduce Programming

Leakage and misuse of sensitive data is a challenging problem to enterprises. It has become more serious problem with the advent of cloud and big data. The rationale behind this is the increase in outsourcing of data to public cloud and publishing data for wider visibility. Therefore Privacy Preserving Data Publishing (PPDP), Privacy Preserving Data Mining (PPDM) and Privacy Preserving Distributed Data Mining (PPDM) are crucial in the contemporary era. PPDP and PPDM can protect privacy at data and process levels respectively. Therefore, with big data privacy to data became indispensable due to the fact that data is stored and processed in semi-trusted environment. In this paper we proposed a comprehensive methodology for effective sanitization of data based on misusability measure for preserving privacy to get rid of data leakage and misuse. We followed a hybrid approach that caters to the needs of privacy preserving MapReduce programming. We proposed an algorithm known as Misusability Measure-Based Privacy serving Algorithm (MMPP) which considers level of misusability prior to choosing and application of appropriate sanitization on big data. Our empirical study with Amazon EC2 and EMR revealed that the proposed methodology is useful in realizing privacy preserving Map Reduce programming

FOURIER TRANSFORM INFRARED ANALYSIS OF ULVA LACTUCA AND GRACILARIA CORTICATA AND THEIR EFFECT ON ANTIBACTERIAL ACTIVITY

 In the present work, we used two seaweeds Ulva lactuca and Gracilaria corticata, which were collected from Hare Island in the Gulf of Mannar ofTuticorin coast. Ethanol was taken as the solvent for extraction. The crude extract was purified using column chromatography. Antibacterial activityof crude and column purified fractions were tested against Klebsiella, Aeromonas, Staphylococcus, Escherichia and Pseudomonas using well-diffusionmethod. Maximum zone of inhibition (9 mm) was found in the crude extract of G. corticata against Pseudomonas sp. Minimum zone of inhibition (4mm) was found in U. lactuca fraction1 against Escherichia coli. Highest antibacterial activity was obtained in red seaweed, whereas, green seaweedshowed less antibacterial activity. From this study, we can conclude that red seaweeds have more active than green seaweeds. The seaweed powderwas analyzed in Fourier transform infrared spectrometer. It was observed that both seaweed contained phenol and alcohol compounds, which wereresponsible for the antibacterial activity.Keywords: Antibacterial activity, Fourier transform infrared, Seaweeds, Ulva lactuca, Gracilaria corticata.Â

STUDY ON IMMUNOSTIMULATORY PROPERTY OF FEW SEAWEEDS INJECTED INTRAPERITONEALLY

Objective: Three type of seaweed was chosen for the study namely Gracilaria corticata, Ulva lactuca and Stocheospermum marginatum and was extracted with ethanol.Methods: The fishes [Common carp (Cyprinus carpio) (weight 10±5g)] were divided into five groups. They were infected with A. hydrophila (1.6 × 104 CFU/fish). The infected three groups were injected with seaweed extract (0.20 mg) suspended in saline solution. One group was injected only saline control the other one group was injected with ciprofloxacin (0.20 mg) (standard) suspended in saline. The experiment was carried out for 28 d. Every seven days interval the fishes were injected with seaweed extract and blood parameters of RBC, WBC, HB, Ht, MCV, MCH, and MCHC were recorded.Results: The MCHC value of Gracilaria corticata was recorded in 28th day (29.28±1.15) g/l. In Stocheospermum marginatum, the MCHC value was found in (27.19±1.62) g/l on 28th day. The Ulva lactuca had a MCHC value of (26.80±2) g/l on 28th day.Conclusion: From this study, we can understand that the fish injected with seaweed extracts as good Immunostimulants properties. Â