The present study was carried out at the Thycattussery area in Vembanad lake and assessed the ichthyo-diversity, variability in climatic variables, the exploited status of predominant small-scale sector fisheries (SSFs) and impact of climatic variables upon an existing SSF. Fish, as well as clam specimens collected from the study area, were identified. Diversity indices and dominance curves helped to identify monsoon (June–September) as the diverse season in the wetland. SIMPER (similarity percentage) analysis indicated that Villorita cyprinoides (clam) was the predominant species in the wetland with a mean relative abundance of 16.1%. Canonical correspondence analysis (CCA) of variables with clam production identified calcium hardness and rainfall with axis loadings of –0.56 and 0.50 respectively as the variables predominantly contributing to clam production. Stepwise regression indicated that temperature and rainfall were the determinants of clam production. A decrease in rainfall and an increase in temperature at an annual rate of 0.02 and 0.8%, respectively, decreased the clam production by 5.37%/year in the study area. Further, the generalized linear model (GLM) indicated stagnancy in clam production until 2035 below 400,000 kg per year. The study introduced diversification of livelihood systems using clam culture in climate resilient pen structures (CRPS) as an adaptation strategy.

Fish and water samples were collected from various randomly situated sampling sites in two tropical man‐made lakes, Peechi and Pothundi reservoirs, in South India. The fish samples collected during 2014 to 2015 were taxonomically identified and the fish diversity indices of these reservoirs evaluated. The water samples collected were analysed for such environmental variables as pH, electrical conductivity, dissolved oxygen concentration, alkalinity, hardness, chlorophyll and nutrient concentrations. T‐tests indicated significant difference in both the fish diversity and environmental variables between these two reservoirs. The Pearson correlation test identified electrical conductivity as a highly correlated environmental variable to the ichthyodiversity index in Peechi and Pothundi reservoirs, with coefficients of 0.939 and 0.7012, respectively. Principal co‐ordinate analysis also was conducted on the variables to identify the best combination of variables subjective to the particular sampling site influencing the fish diversity. The analyses explained 72.8% of the total variations for Peechi reservoir, which was represented with eigenvalues of 7.53 and 3.393, respectively, for the first two dimensions. A similar analysis of Pothundi reservoir produced eigenvalues 7.05 and 3.01, respectively, for the first two dimensions, explaining 67.1% of the total inertia. The individual factor maps (IFM‐I and IFM‐II) for Peechi and Pothundi reservoirs identified a high diversity at sampling site 3 in Peechi reservoir, and a similar finding for sites 3 and 7 in Pothundi reservoir, being related to the interactions with other environmental variables, which were greatly influenced by the predominance of macrophytes. The latter is a characteristic of rainfed tropical reservoirs, with special reference to the native fish diversity and environmental variables. The findings of this study suggest management decisions for any aquatic system may be considered after prior assessment of environmental variables and the ichthyodiversity index of the indicated waterbody.

Reproductive study of a fish is an important for fishery resources and conservation management. Their provide information on the basis for early life history and oriented studies. In the present investigation clearly showed that the assessment of size at maturity, fecundity, spawning behaviour and capacity of reproductive in Pterois volitans. The graphical representation shows there is the intimate relationship between the length of the ovary and its relative weight. On the graphical representation, in the month of August every year the high values of gonad weight and fecundity were concluded. The gonad weight (GW) can be expressed as F=9387.9GW+34026 with an r 2 value of 0.5723. It was recorded for significantly different. The GSI values of female P. volitans have also shown similar increasing trend associated with histological changes. A GSI value increase with corresponding histological changes was also noticed in lion fish P. volitans.

The impact of heavy metal accumulation in two important murrel fish species,Channa striataandChanna punctata, was analysed using micronuclei and histology assays.

The rapid development in the field of the Internet of things gives rise to many malicious attacks, since it holds many smart objects whose lack of an efficient security framework. These kinds of security issues bring the entire halt-down situation to all smart objects that are connected to the network. In this work, multichannel Convolutional Neural Network (CNN) is proposed whereas each channel’s CNN works on each type of input parameter. This model has two channels connected in a parallel manner, with one CNN taking an opcode sequence as input and the other CNN running with system calls. These extracted system calls and opcode sequences of elf files were discriminated against using two more deep learning algorithms along with multichannel CNN, namely Recurrent Neural Network (RNN) and CNN, and a few recent existing solutions. The performance analysis of the aforementioned algorithms has been carried out and evaluated using accuracy, precision, recall, F1-measure, and time. The experimental results show that multichannel CNN outperforms the remaining considered techniques by achieving a high accuracy of 99.8% for classifying malicious samples from benign ones. The real-time Internet of Things (IoT) malware samples were collected from the IoT honeyPot (IOTPOT), which emulates different CPU architectures of IoT devices.