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Any node in a mobile ad hoc network (MANET) can act as a host or router at any time and so, the nodes in the MANET are vulnerable to many types of attacks. Sybil attack is one of the harmful attacks in the MANET, which produces fake identities similar to legitimate nodes in the network. It is a serious threat to the MANET when a malicious node uses the fake identities to enter the network illegally.

A MANET is an independent collection of mobile nodes that form a temporary or arbitrary network without any fixed infrastructure. The nodes in the MANET lack centralized administration to manage the network and change their links to other devices frequently.

So for securing a MANET, an approach based on biometric authentication can be used. The multimodal biometric technology has been providing some more potential solutions for the user to be able to devise an authentication in MANETs of high security.

The Sybil detection approach, which is based on the received signal strength indicator (RSSI) variations, permits the node to be able to verify the authenticity of communicating nodes in accordance with their localizations.

As the MANET node suffers from a low level of memory and power of computation, there is a novel technique of feature extraction that is proposed for the multimodal biometrics that makes use of palm prints that are based on a charge-coupled device and fingerprints, along with the features that are fused.

This paper proposes an RSSI-based multimodal biometric solution to detect Sybil attack in MANETs.

The results of the experiment have indicated that this method has achieved a performance which is better compared to that of the other methods.

The paper aims to explore consumer preferences for novel and other quality attributes in processed foods. It focuses on preferences for product origin, certification on food quality and standards and tradeoffs between novelty (fortification and highly processed) and other quality attributes.

In total, 317 consumers were randomly selected at a high-end supermarket and a traditional local market in Dar es Salaam, Tanzania. Stated and revealed preference approaches were used to investigate their preferences for different attributes in processed foods. A hypothetical choice experiment was used to assess consumer preference for six baby food attributes and the tradeoffs between the attributes, while the revealed preference method included questions on consumer's actual processed food purchasing and consumption habits. In addition, consumers were asked a series of hierarchical questions assessing the motivation underpinning their choices for different products attributes.

When making choices for processed food attributes, consumers are reluctant to choose novel technologies and have a strong preference for natural, nutritious, tasty and quality processed food attributes. However, they are willing to forego their preference for naturalness and to overcome their reluctance to trying novel technologies when the novelty is embedded with such quality benefits as nutrition, but not so when the embedded benefit is convenience. They are also willing to trade off their preference for nutrition for a sensory taste. This suggests that micronutrient deficiencies can be reduced among women and children under five by employing the appropriate strategies in processed food formulation. Further, the preference for product origin highlights the opportunity for national brands to fill the gap created by the increasing demand for processed foods in Tanzania.

The study claims a developing country perspective but is only representing consumers in one city in a developing country. However, this study speculates that consumers with representative characteristics in such context are likely to behave the same. Furthermore, although this study controlled for a hypothetical bias, having a hypothetical choice experiment with non-shoppers (non-purchasers) could have triggered the hypothetical bias, making participants concentrate more on non-price than price attributes.

The paper offers a developing country perspective on consumers' preferences for novelty in processed foods and tradeoffs with other quality attributes.

The purpose of this paper is to explore farmer acceptance of a biofortified staple food crop in a developing country prior to its commercialization. The paper focuses on the hypothetical introduction of a high-iron pearl millet variety in Maharashtra, India, where pearl millet is among the most important staple crops.

A choice experiment is used to investigate farmer preferences for and trade-offs among various production and consumption attributes of pearl millet. The key pearl millet attributes studied include days it takes pearl millet to mature, color of the roti (flat bread) the grain produces, the presence of high-iron content (nutritional attribute), and the price of the pearl millet seed. Choice data come from 630 pearl millet-producing households from three purposefully selected districts of Maharashtra. A latent class model is used to investigate the heterogeneity in farmers’ preferences for pearl millet attributes and to profile farmers who are more or less likely to choose high-iron varieties of pearl millet.

The results reveal that there are three distinct segments in the sample, and there is significant heterogeneity in farmer preferences across these segments. High-iron pearl millet is valued the most by larger households that produce mainly for household consumption and currently have lower quality diets. Households that mainly produce for market sales, on the other hand, derive lower benefits from consumption characteristics such as color and nutrition.

The main limitation of the study is that it uses a stated preference choice experiment method, which suffers from hypothetical bias. At the time of implementing this study biofortified high-iron pearl millet varieties were not yet developed, therefore the authors could not have implemented revealed preference elicitation methods with real products and payment.

The method used (stated preference choice experiment method) is commonly used to value non-market goods such as environmental goods and products that are not yet in the market. It’s application to agriculture and in developing countries is increasing. As far as the authors know this is the first choice experiment implemented to investigate farmer/consumer preferences for biofortified crops. The study presents valuable information for development and delivery of biofortified crops for reducing micronutrient deficiencies.

Biofortification of staple crops is a promising strategy to alleviate micronutrient deficiencies in rural populations of the developing world. The possibility to sell biofortified crops at “a good market price” plays a vital role for the acceptance by smallholder farmers. This study is therefore focused on non-farming consumers' willingness to pay (WTP) for biofortified crops.

Specifically, we elicited non-farming consumers' WTP a premium for the improved iron content (+30% iron) in a 1kg finger millet bag using a 2nd price Vickrey auction with six auction rounds and one health- and one process-related information treatment. Due to multiple bids per subject, premiums were analyzed using a linear mixed-effects model, controlling for market feedback and auction round.

Despite more than half of the respondents being skeptical toward new crop varieties, the acceptance rate was very high (98% with a WTP above zero). The average premium amounted to 27% and could be significantly increased with the provision of health-related information. In contrast, information about the breeding method was ineffective. The WTP was significantly higher for higher income and lower for higher age, education and skepticism toward new crop varieties and increased with increasing rounds.

Our results suggest that non-farming consumers are willing to pay “a good market price” for iron-biofortified finger millet. Our analysis also confirms the importance of health-related information for raising consumers' WTP. This information supports the further development and introduction of biofortified crops to alleviate micronutrient malnutrition.

This study adds to the still limited literature on consumers' WTP for iron-biofortified crops in India, focusing on non-farming consumers to assess the price such crops can achieve on the market.

Biofortification is a promising strategy for addressing malnutrition and food insecurity by enriching staple crops with nutrients. However, farmers’ adoption is crucial for their success. This study aims to shed light on Ethiopian farmers' intentions to adopt biofortified orange-fleshed sweet potatoes (OFSP) using the motivation, opportunity and ability (MOA) framework.

This study used data from a cross-sectional survey of 370 sweet potato farmers in Ethiopia. Binary logistic regression analysis was employed to examine the factors influencing farmers' intention to adopt OFSP.

Ability-, motivation- and opportunity-related factors significantly influenced adoption intention. Specifically, knowledge of OFSP benefits, production skills, crop characteristics and access to institutional services positively influences adoption. However, farming experience has a negative effect.

These findings emphasize the importance of educating farmers about OFSP’s high vitamin A content and favourable agronomic features. Additionally, understanding farmers' experiences and enhancing their production skills are crucial for increasing adoption rates. Targeted educational programs and support services can address these gaps and deficiencies.

This study is the first to analyse Ethiopian farmers' adoption of OFSP using an MOA framework. It offers a novel approach to understanding the complex interplay of psychological factors that influence adoption intentions. Furthermore, this study provides valuable insights into the Ethiopian context, filling a gap in the literature. These findings contribute to the development of targeted strategies for promoting biofortified crops in Ethiopia and other similar global contexts.

Potato is a major food staple in Africa, but its production is constrained by poor quality of seed. A recent private–public partnership in Tanzania resulted in introduction of new higher yielding varieties. The purpose of this paper is to examine smallholder farmers’ motivations to invest in the purchase of quality seed of new potato varieties, and if the motivational structure differs by gender.

The paper used means-end chain (MEC) theory combined with goal priming, and laddering interviews on randomly sampled participants (n=45) of an experimental auction conducted among smallholder farmers in Tanzania. The auction was designed to goal-prime respondents on benefits of quality seed. The mental constructs obtained were grouped into attributes, consequences and values, and MECAnalyst software used to generate hierarchical value maps.

Farmers invest in quality seed of a new variety to increase yields, hence income, and also to pursue personal life goals (values) or meet psychosocial needs. The structure of mental constructs associated with the decision to invest in quality seed of a new variety differ by gender.

The study focused on only two new varieties, hence not robust to all new potato varieties. Results need to be tested under different socioeconomic contexts. Furthermore, the MEC approach does not allow for control of other variables that likely influence farmer adoption decision-making process. Future studies should be designed to tackle these limitations.

Investment in quality seed of new variety is driven by monetary goals and psychosocial factors, and some of these factors differ between male and female farmers.

This is the first study to explore drivers of farmers’ decision to use quality seed of a new variety using MEC analysis, and role psychosocial factors play.

The purpose of this paper is to reveal the actual consumer demand for traceable pork by investigating consumer preferences for pork with combined levels of traceability information based on differences in individual consumer preferences, in order to support the government in decision making regarding the gradual construction of safe food markets.

Combinations of four types of traceability information, including farming, slaughter and processing, distribution and sales, and government certification, with price were randomly designed. To identify consumer preferences for these attribute combinations of traceable pork, 215 consumers in Wuxi, Jiangsu Province were investigated using a real choice experiment and the mixed logit model.

Significant heterogeneity was observed in consumer preferences for traceable pork. The information of farming, slaughter and processing, distribution and marketing, and government certification could significantly improve consumer utility. Moreover, consumers had the highest preference for government certification information.

Although numerous studies have been performed on consumer preferences for food safety attributes using a real choice experiment, almost none of them focus on Chinese consumers. Therefore, this study is an attempt to fill this gap. The conclusions of this study can serve as a reference for the Chinese government in developing safe food consumption policies. Although Chinese consumers have cried out for improvement of pork safety, they have different preferences for traceability information; thus, the government must promote traceable food step-by-step, using consumer preferences as a starting point.

This paper examines the prices of fishery products (an important source of protein for the poor) and drivers of their inter-regional variations in India, where fishery is a critical sector. By explaining regional price differences, we make an attempt to derive policy implications as to how fish price inflation can be controlled.

The paper is primarily based on secondary data provided by the Ministry of Agriculture, Government of India. In the absence of data on inter-regional trade, appropriate indicators are constructed using the gravity model to capture supply side factors that may influence regional price differences. Pooled regressions are carried out for a representative marine and an aquaculture fish variety separately for the period 2011 to 2017.

After controlling for income levels, it is found that marine fish prices can be reduced by improving intra-state transport infrastructure. For reducing the price of aquacultures, it is shown that it is imperative to reduce the distance between producers and consumers.

The study is limited by the availability of data on interstate trade and consumption of fish and has only used prices of representative fish varieties instead of average marine and aquaculture fish prices.

This paper considers trade and value chain based business theories to explain regional price differences. It analyzes the drivers of relative price differences and suggests measures to control them using a gravity model of trade.

The learning environment is not a vacuum, but rather is rich in social contexts with innumerable points, interests, and beliefs. This takes one of the concepts of “social learning” which is not just a natural occurring phenomenon but also a way of organizing learning and communities of learners. Social Learning (SL) tends to refer to learning that takes place when divergent interests, norms and values of reality meet in an environment that is conducive to learning. This paper helps to determine the impact of SL forms on environmentally sustainable consumption behavior among school children.

After conducting an experimental study among school children, data were analyzed using ANOVA. The total sample size was 760.

SL forms as an intervention influence environmentally sustainable consumption behavior (ESCB) among school children. The findings of this paper suggest that SL techniques such as visuals had been able to positively impact the constructs like knowledge, comprehension, and application. This was very much supported by observations of children, interactions with them and the upfront support provided by school and teachers.

Based on the result, the paper identified that although SL forms influence the ESCB, there is a need to identify the most effective SL forms having impact on ESCB.

This study will help marketers to understand that what type of learning forms can be used to enhance the environmentally sustainable consumption behavior among children.

This paper is completely an original work carried out by the author.