Security Options Research Articles

Dronica as an option for the security and defense of cities

Dronica as an option for the security and defense of cities

Optimization of Connecting Rod Design Parameters for External Fixation System: A Biomechanical Study

The role of connecting rod in healing process of a fractured bone has always been of significant importance for surgeons. Adding a connecting rod to the fixator would be a secure option for increasing stability without increasing infection rate. The roles of 4 design parameters of the connecting rod (ie, connecting rod diameter, elevation, material, and configuration) were assessed by using finite element models to calculate axial stiffness and interfragmentary strain at the fracture gap. Taguchi method was used to achieve an optimal design set for maximizing stability with regard to connecting rod variables. Also, analysis of variance (ANOVA) approach was employed to determine contribution percentage of each design parameter on outputs. For optimizing connecting rod design parameters, an optimal set of variables consisting of 11 mm, 40 mm, 200 GPa, and Type 3 external fixator were determined by Taguchi for connecting rod diameter, elevation, modulus of elasticity, and configuration, respectively. However, as Type 3 external fixator stability is a little more than Type 2, it would be better if Type 3 external fixator in Taguchi suggestion be replaced by Type 2 external fixator to be as minimally invasive as possible. Furthermore, ANOVA results revealed that the connecting rod configuration is the most important parameter with 95% and 96% effectiveness on the interfragmentary strain and axial stiffness.

Sino-Indian Strategic Balancing in Nepal

This article examines Sino-Indian power balancing in Nepal to explore Kathmandu’s policy options for security. Traditionally, both regional giants have sought to co-opt Nepal in a bid to outflank the other in the Himalayan region. India has exercised greater leverage profiting on ethnic and economic connections. Presently, China’s rise has offered Kathmandu a window of opportunity to substitute the Indian foothold in Nepal. China’s strategic leverage has increased due to the up-gradation of Sino-Nepalese political and economic connections. Nepal’s tilt towards Beijing has led New Delhi to seek reassurances from Kathmandu. Sino-Indian overlapping cultural and competing politico-strategic objectives has increased Kathmandu’s volatility to foreign intervention. The interplay of Sino-Indian regional balancing has constrained policy options for its security. Within this context, the article seeks to analyse the following questions: a.) What are Sino-Indian power ambitions and policy objectives in Nepal? b.) How has China’s expansion of influence impacted on Nepal-India relations and Kathmandu’s policy options for security? The theoretical cushion of neo-classical realism, employing qualitative techniques of content analysis has provided a befitting context to study Nepal’s security challenges. The article argues that Kathmandu’s security drive has to tread on a thin rope of power balancing caught in between India and China. Nepal balances between its tightly knit historic ties with India and the new opportunity dawned in building connections with Beijing. Nepal’s approach marks philosophical approach of Kautilya’s Raja Mandala as an expression of expedient move to win security.

Open Chance and Risk Management Process Supported by a Software Tool for Improving Urban Security

By now the 5-step risk and chance management process according to the generic ISO 31000 standard has been applied to a wide range of domains including organizational risk management, business continuity, safety and IT security management, as well as occupational safety. The paper motivates the context and need for an open, scalable and flexible urban (perceived) security and safety assessment and improvement process, showing that it should be applicable also at local community level. The basic ideas of the process include the division of risk and chance analysis and management (treatment) into defined phases which are addressed iteratively: (1) within a framing context, stakeholders and their objectives are identified; (2) chance events for reaching objectives or, as often more straightforward, risk events opposing objectives are identified; (3) these chances and risks on objectives are quantified in terms of probability and consequences on the identified objectives; (4) they are assessed regarding their context-sensitive societal acceptability; (5) improvement measures are selected and implemented. The process is iterated until all risks on objectives are sufficiently controlled, also the combination of risks. Concerning the methodology, a semi-formal modelling of the static and dynamic requirements of a tailored process based on ISO 31000 is provided, which in addition allows the formulation of minimum consistency and completeness requirements, e.g. for each objective at least one stakeholder and risk should be identified. For the urban domain, a classification of risk assessment techniques regarding their suitability for supporting the process is presented. A further focus is the efficient provision of best practice options for urban security enhancement. Based on the insights gained by the systematic modelling of the risk management process, a software tool was developed to facilitate the application of the process in participatory settings like round table discussions with stakeholders. The paper presents as use case the application of the tool-supported methodology in several discussion rounds within a residential district in a medium sized university town in Germany along with the discussion of the evaluations and findings. Thus, the applicability of the software-supported urban security risk management to the novel urban security domain is demonstrated. In summary, the approach is sufficiently transparent and flexible for fast summaries of round table discussions up to complex iterative decision and participatory scenarios, which have to consider multiple stakeholders and a large variety of possible urban security and safety enhancement options with a given urban context.

Nepal: Internal and External Security Challenges

The post cold war period is marked by a new multi-dimensional strategic environment giving new focus to international relations and security of small states. Though the US is the only superpower, the world surely is moving towards multi-polarity and interdependence where regional powers and international systems have an increasingly powerful role. In such an environment small states are finding themselves even more vulnerable. The world dynamics is changing very quickly and with it security dimensions are also changing which brings security as well as insecurity to the smaller states like Nepal. The Nepali security dynamics cannot remain separate from the world changes and there are internal as well as external changes which are taking place in the country. More importantly with the recent dramatic changes and adaptation of a new constitution an optimistic political tendencies have emerged but with it the emerging internal crisis have emerged. This paper analyzes the new emerging security challenges Nepal is facing in the evolving new world order and at the same time suggests some authenticate credible and viable security options for it. It analyzes the special characteristics of Nepal and its vulnerability to both traditional and new forms of threats. The paper is divided into five sub-headings which include introduction, theoretical understanding, major security challenges, security options for Nepal and conclusion.

Socio -economic Evaluation of an Open Pollinated Sorghum Variety: A Case of Macia Variety in Kenya

A significant proportion of the Kenyan population experiences food insecurity and malnutrition. The most affected are children and expectant mothers who depend on maize meal for food. Maize is a staple food in Kenya with over 90% of the population depending on the crop both for food and cash. However, with the unpredictable global climate change coupled with outbreaks of maize lethal necrosis disease in the high potential maize zones, sorghum is one of the best options for food security. The production of sorghum is hampered by the unavailability of seeds suitable for appropriate agro-ecological and socio-economic needs of small-scale farmers. The farmers are faced by a scenario whereby seed companies supply only hybrid varieties which cannot be recycled meaning farmers have to purchase fresh seeds every planting season. Over the last two years there has been a deliberate effort by farmer groups, through a World Bank supported project (KAPAP) project, to bulk an Open Pollinated Variety (OPV) known as Macia in Siaya County, a variety that is now available to farmers for replanting. The community seed bulking and farmer-farmer sharing of seed has not only increased the number of farmers involved in sorghum production but has enhanced the availability of sorghum seed to other farmers who could hitherto not afford good seed. The objectives of the study were to identify sorghum common interest groups to promote growing of high yielding variety of sorghum and to avail high yielding variety and evaluate its acceptability. The objectives of this study were conduct an evaluation of the suitability of the macia sorghum as an open pollinated variety and some selected socio-economic factors associated with sorghum growing, namely gender, age and incomes.

Software Defined Networking: A review on Architecture, Security and Applications

Throughout the development of the network, the Software Defined Networking(SDN) paradigm introduced the transition of conventional networks by decoupling the forwarding hardware from the network’s control logic. The SDN architecture enables networks to track traffic actively and detect threats to promote network forensics, alteration of security policy, and insertion of security services. We discuss SDN-related technologies in this paper. In particular, we are attempting to cover the key components of SDN: architecture, security, and its implementations hoping that our efforts will help researchers set relevant and practical directions for future SDN research. In a nutshell, this paper highlights the current and future directions for secured SDN.This paper examines the architecture of SDN where we discuss the network-building methods that arise in the case of the network control being removed from the continuity with the purpose of planning. We further explore the need of guarding access, veracity, and confidentiality of the resources and data, coupled with the myriad security options available for SDN. Lastly, we discuss the diversity bestowed by SDN in different sectors.

Gender and Social Seed Networks for Climate Change Adaptation: Evidence from Bean, Finger Millet, and Sorghum Seed Systems in East Africa

In many East African countries, women and men have different levels of access to formal markets for agricultural inputs, including seed, reflecting a combination of gender norms and resource constraints. As a result, women and men may have different levels of participation in—and reliance upon—informal seed systems for sourcing preferred planting material and accessing new crop varieties over time. We use network analysis to explore differences in seed networks accessed by women and men for three major food security crops—beans, finger millet, and sorghum—in Kenya, Tanzania, and Uganda. Drawing on data from an original survey of 1001 rural farm households across five study sites, we find that women, on average, have fewer connections to experts and farmers’ groups than men but are relatively better connected in farmer-to-farmer social networks across different farming systems. We further find women’s and men’s networks are clustered by gender (i.e., women’s networks include more women, and men’s networks include more men)—and that men’s networks are more likely to exchange improved seed. Women’s networks, though sometimes larger, are less likely to exchange improved varieties that might help farmers adapt to climate change. Women farmers across contexts may also be more reliant on farmer-to-farmer networks than men due to their relative isolation from other seed and information sources. Findings emphasize the need for careful attention to the different implications of seed policies, market interventions, and other seed system reforms to support gender-equitable food security options for women and men in sub-Saharan Africa.

(In)secure Acoustic Mobile Authentication

Acoustic fingerprinting aims to identify a mobile device based on its internal microphone(s) and speaker(s) which are unique due to manufacturing imperfection. This paper seeks a thorough understanding of the (in)security of exploring acoustic fingerprints for achieving distributed mobile authentication. Our contributions are threefold. First, we present a new acoustic fingerprint-emulation attack and demonstrate that it is a common vulnerability of acoustic mobile authentication systems. Second, we propose a dynamic challenge-response defense to secure acoustic mobile authentication systems against the acoustic fingerprint-emulation attack. Finally, we thoroughly investigate existing acoustic fingerprinting schemes and identify the best option for accurate, secure, and deployable acoustic mobile authentication systems.

Looking Beyond a Nuclear-Armed Iran: The Major Implications of Nuclear Iran for the Middle East

Iran has pursued nuclear weapons for over four decades. The basic reasons for this quest have remained unchanged in the face of the most crippling sanctions. Almost three and a half years after Trump’s withdrawal from the Iran Nuclear Pact (JCPOA), Tehran officially announced that it has enriched uranium up to 60%, very close to the 90% suitable for nuclear weapons. Iran is highly likely to be the world’s next nuclear state. A nuclear-armed Iran will be emboldened to accelerate its aggressive activities in the region and act against its neighbors with little fear of retribution. Moreover, Iran’s network of proxies would adopt a more confrontational approach towards Israel. Besides, Iran’s politics of threat can have serious socioeconomic consequences for Israel.Iran’s possession of nuclear weapons could arguably set off a cascade effect, encouraging other major regional powers to move in the same direction. The West, particularly the United States, would seek to offset this risk by providing a “defenceumbrella”. HhhhjkhggHowever, some might be reluctant to be openly protected by the United Statesor would find the umbrella questionable and choose nuclear option for both security concerns and prestige.

A Review of Mobile Applications Available in the App and Google Play Stores Used During the COVID-19 Outbreak.

PurposeThe objective of this paper was to review the functionalities and effectiveness of the free mobile health applications available in the Google Play and App stores used in Saudi Arabia, Italy, Singapore, the United Kingdom, USA, and India during the COVID-19 outbreak.MethodsThis study adopted a systematic search strategy to identify the free mobile applications available in the App and Google Play stores related to the COVID-19 outbreak. According to the PRISMA flowchart of the search, only 12 applications met the inclusion criterion.ResultsThe 12 mobile applications that met the inclusion criterion were: Mawid, Tabaud, Tawakkalna, Sehha, Aarogya setu, TraceTogether, COVID safe, Immuni, COVID symptom study, COVID watch, NHS COVID-19, and PathCheck. The following features and functionalities of the apps were described: app overview (price, ratings, android, iOS, developer/owner, country, status), health tools (user status-risk assessment, self-assessment, E-pass integration, test results reporting, online consultation, contact tracing), learning options (personalized notes, educational resources, COVID-19 information), communication tools (query resolution, appointments, social network, notifications), app design (data visualization, program plan), networking tools (location mapping – GPS, connectivity with other devices), and safety and security options (alerts, data protection). Also, the effectiveness of the apps was analyzed.ConclusionThe analysis revealed that various applications have been developed for different functions like contact tracing, awareness building, appointment booking, online consultation, etc. However, only a few applications have integrated various functions and features such as self-assessment, consultation, support and access to information. Also, most of the apps are focused on contact tracing, while very few are dedicated to raising awareness and sharing information about the COVID-19 pandemic. Likewise, the majority of applications rely on GPS and Bluetooth technologies for relevant functions. No apps were identified that had built-in social media features. It is suggested to design and develop an integrated mobile health application with most of the features and functionalities analyzed in this study.

Sajber terorizam kao okidač sve intenzivnije potrebe za bezbednost sistema od opasnosti koja dolazi sa interneta

In a world of increasingly intense cyber content that relies on new technologies, the security of all systems is at risk. This article will present the danger and security options in order to protect not only data but also the entire system connected to the new technologies. Also, the importance of persons dealing with online security issues will be emphasized. The analysis of the content reveals the possibility for prediction that is presented in the paper, and connected with the conclusion that technology will develop more and more, and thus the danger of cyber attacks will be more and more intense. The paper focuses on the essence of the defense against terrorism that is necessary on the Internet. This indicates those defense options that are in line with the roles of those in charge of Internet security as an open field for terrorist cyber attacks.

On the Bit Error Probability and the Spectral Efficiency of Opportunistic Wireless Transmissions in Rician Fading Channels

Opportunistic systems take advantage of the wireless communication channel random behavior, since transmission is made only when fading amplitude is above a threshold value, which is calculated based on a transmission probability. This type of transmission draws attention because improves the system performance, and it is an interesting scheme for primary users in cognitive radio networks or is also an option for physical layer security. In this paper, we analyze the performance of opportunistic transmissions in Rician fading channels considering square-quadrature-amplitude-modulation (S-QAM) and non-square-quadrature-amplitude-modulation (NS-QAM). Exact closed-form expressions and approximations are derived to evaluate the average bit error probability (ABEP). An expression to calculate the mean spectral efficiency (SE) is also derived considering that a target ABEP must be guaranteed. The SE is calculated using the coverage radius obtained for each modulation used in the system. Hence, an algorithm for the radii calculation is also presented, which considers that the parameters of the Rician fading channel change in the cellular area. The results show that opportunistic transmission (OpT) mitigates the fading effects once the ABEP decays exponentially as the signal to noise ratio (SNR) is increased. Additionally, the proposed algorithm, along with the derived expressions, determine the scenarios where the SE is maximized.

Security as a Solution: An Intrusion Detection System Using a Neural Network for IoT Enabled Healthcare Ecosystem

Aim/Purpose: The primary purpose of this study is to provide a cost-effective and artificial intelligence enabled security solution for IoT enabled healthcare ecosystem. It helps to implement, improve, and add new attributes to healthcare services. The paper aims to develop a method based on an artificial neural network technique to predict suspicious devices based on bandwidth usage. Background: COVID has made it mandatory to make medical services available online to every remote place. However, services in the healthcare ecosystem require fast, uninterrupted facilities while securing the data flowing through them. The solution in this paper addresses both the security and uninterrupted services issue. This paper proposes a neural network based solution to detect and disable suspicious devices without interrupting critical and life-saving services. Methodology: This paper is an advancement on our previous research, where we performed manual knowledge-based intrusion detection. In this research, all the experiments were executed in the healthcare domain. The mobility pattern of the devices was divided into six parts, and each one is assigned a dedicated slice. The security module regularly monitored all the clients connected to slices, and machine learning was used to detect and disable the problematic or suspicious devices. We have used MATLAB’s neural network to train the dataset and automatically detect and disable suspicious devices. The different network architectures and different training algorithms (Levenberg–Marquardt and Bayesian Framework) in MATLAB software have attempted to achieve more precise values with different properties. Five iterations of training were executed and compared to get the best result of R=99971. We configured the application to handle the four most applicable use cases. We also performed an experimental application simulation for the assessment and validation of predictions. Contribution: This paper provides a security solution for the IoT enabled healthcare system. The architectures discussed suggest an end-to-end solution on the sliced network. Efficient use of artificial neural networks detects and block suspicious devices. Moreover, the solution can be modified, configured and deployed in many other ecosystems like home automation. Findings: This simulation is a subset of the more extensive simulation previously performed on the sliced network to enhance its security. This paper trained the data using a neural network to make the application intelligent and robust. This enhancement helps detect suspicious devices and isolate them before any harm is caused on the network. The solution works both for an intrusion detection and prevention system by detecting and blocking them from using network resources. The result concludes that using multiple hidden layers and a non-linear transfer function, logsig improved the learning and results. Recommendations for Practitioners: Everything from offices, schools, colleges, and e-consultation is currently happening remotely. It has caused extensive pressure on the network where the data flowing through it has increased multifold. Therefore, it becomes our joint responsibility to provide a cost-effective and sustainable security solution for IoT enabled healthcare services. Practitioners can efficiently use this affordable solution compared to the expensive security options available in the commercial market and deploy it over a sliced network. The solution can be implemented by NGOs and federal governments to provide secure and affordable healthcare monitoring services to patients in remote locations. Recommendation for Researchers: Research can take this solution to the next level by integrating artificial intelligence into all the modules. They can augment this solution by making it compatible with the federal government’s data privacy laws. Authentication and encryption modules can be integrated to enhance it further. Impact on Society: COVID has given massive exposure to the healthcare sector since last year. With everything online, data security and privacy is the next most significant concern. This research can be of great support to those working for the security of health care services. This paper provides “Security as a Solution”, which can enhance the security of an otherwise less secure ecosystem. The healthcare use cases discussed in this paper address the most common security issues in the IoT enabled healthcare ecosystem. Future Research: We can enhance this application by including data privacy modules like authentication and authorisation, data encryption and help to abide by the federal privacy laws. In addition, machine learning and artificial intelligence can be extended to other modules of this application. Moreover, this experiment can be easily applicable to many other domains like e-homes, e-offices and many others. For example, e-homes can have devices like kitchen equipment, rooms, dining, cars, bicycles, and smartwatches. Therefore, one can use this application to monitor these devices and detect any suspicious activity.

Finely Tunable Bitcuboid-Based Encryption With Exception-Free Signed Binarization for JPEG Standard

We propose a finely tunable JPEG format-compliant perceptual encryption (FE) with two novel strategies: (i) bitcuboid-based encryption (BE) and (ii) exception-free signed binarization (ESB). BE is an intra- and inter-bitplane encryption technique that provides finely tunable perceptual degradation by encrypting constrained subspaces (‘bitcubes’) of a cuboid-shaped bit set (‘bitcuboid’). ESB is a binarization technique that redecimalizes encrypted binary sequences into signed decimal coefficients without any exception-handling by shifting the negative binary sequences one-by-one. BE with ESB (BEESB) is applied to the quantized discrete cosine transform (QDCT) domain in JPEG compression. The results of our first experiment show that the BE attains fine tunability, which means scalability of the perceptual degradation level with a single encryption method, by encrypting bitcubes of various types and sizes combinatorially. The results of our second experiment show that the BEESB suppresses the bitrate overheads and that BEESB with one of the most secure options suppresses approximately 0.80-187.58 % more of the bitrate overheads in terms of Bjontegaard delta (BD)-rate compared with conventional methods except for some ones. The results of our third experiment show that BEESB has high resilience against attacks.

Evaluation of Major and Environmentally Driven Genes for Resistance in Pakistani Wheat Landraces and their Prospected Potential against Yellow Rust

Yellow rust is caused by Pst (Puccinia striiformis tritici), the most devastating wheat disease with continuous challenge of emerging virulences breaking vertical resistance worldwide resulting in epidemics. Vertical resistance genes incorporation is sustainable, economical and environment-friendly approach to control rust diseases. Wheat landraces (WLR) acquired vertical resistance through long time exposure of host pathogen survival competition in specific area having unique agronomic traits, genetic base and resistance against biotic and abiotic agents can be exploitable commodity for future food production. Fifty Pakistani WLRs already with known vertical resistance were screened against 7 potential Pakistani Pst races at seedling stage under glasshouse conditions to postulate resistance genes. Resistance magnitude was compared among the landraces. Six genes Yr1, Yr8, Yr9, Yr43, Yr44, and YrTr1 were successfully postulated either singly or in combination along with unidentified genes in 45 landraces. Pakistani Pst races are avirulent to Yr5, Yr10, Yr15, Yr24, Yr32, YrSp and YrTye. Most frequently postulated genes are Yr44 found in 22 genotypes, YrTr1 in 21, Yr9 in 19, Yr43 in 18, Yr8 and Yr1 in 14 wheat landraces. Multiple Yr gene pyramiding was observed in (B-74, B-281, B-530) with the presence of Yr8, Yr9, Yr43, Yr44, and YrTr1 and single gene were postulated from 12 genotypes. WLRs (B-03, B-158, B-160, B-171) reaction was immune showing presence of novel Yr genes. Study provides information regarding yellow rust resistance genes originated independently against localized Pst races with desirable agronomic traits since long and can be option for food security in changing environmental challenges.

Optimal non-uniform finite difference grids for the Black–Scholes equations

In this article, we present optimal non-uniform finite difference grids for the Black–Scholes (BS) equation. The finite difference method is mainly used using a uniform mesh, and it takes considerable time to price several options under the BS equation. The higher the dimension is, the worse the problem becomes. In our proposed method, we obtain an optimal non-uniform grid from a uniform grid by repeatedly removing a grid point having a minimum error based on the numerical solution on the grid including that point. We perform several numerical tests with one-, two- and three-dimensional BS equations. Computational tests are conducted for both cash-or-nothing and equity-linked security (ELS) options. The optimal non-uniform grid is especially useful in the three-dimensional case because the option prices can be efficiently computed with a small number of grid points.

“So if Mr Blue Head here clicks the link...” Risk Thinking in Cyber Security Decision Making

Cyber security decision making is inherently complicated, with nearly every decision having knock-on consequences for an organisation’s vulnerability and exposure. This is further compounded by the fact that decision-making actors are rarely security experts and may have an incomplete understanding of the security that the organisation currently has in place. They must contend with a multitude of possible security options that they may only partially understand. This challenge is met by decision makers’ risk thinking —their strategies for identifying risks, assessing their severity, and prioritising responses. We study the risk thinking strategies employed by teams of participants in an existing dataset derived from a tabletop cyber-physical systems security game. Our analysis identifies four structural patterns of risk thinking and two reasoning strategies: risk-first and opportunity-first . Our work highlights that risk-first approaches (as prescribed by the likes of NIST-800-53 and ISO 27001) are followed neither substantially nor exclusively when it comes to decision making. Instead, our analysis finds that decision making is affected by the plasticity of teams—that is, the ability to readily switch between ideas and practising both risk-first and opportunity-first reasoning.

International River Summit 2019—Part II

International River Summit 2019—Part II

An alternative health crop for South Africa: Purple potato mini tuber production as affected by water and nutrient stress

Food security in South Africa ranks as one of the top ten priorities in the country. Potato is a fundamental staple food crop in South Africa, providing essential nutrition. While there are several cultivars currently in production for the potato market, there is a need to explore cultivars that are available, but not utilised within the country. Pigmented potatoes are not regarded as high value on the South African market;however,yield prospects as well as health-promoting benefits could have a positive contribution on the South African Gross Domestic Product (GDP) and on the population’s health. Potato cultivar (cv.) Salad blue(SB)seems to be a drought-tolerant crop with the ability to produce reasonable yields under severe environmental conditions. In order to promote cv. SB as a possible food security option for South Africa, there is a critical need for empirical information, describing some basic horticultural as well as biochemical information and vitamin C presence. This study investigated the potential of pigmented potato SB tubers as an alternative to high yielding white potato for the South African market.Tubers of Solanum tuberosum cv. BP1 and SB, were used for this research.The high amounts in phenolic compounds in SB can be considered to be health-promoting phytochemicals. Anticarcinogenic, antibacterial, antiviral properties have been reported. A greenhouse, bag trial with virus-free plantlets of BP1 and SB cultivars was conducted using three water and nutrient levels and favourable root zone temperature(100% without heat, 100% heated, 50% heated, 25% heated) all grown in coco peat. Cultivar SB showed nearly two-fold yield compared to the control BP1. Methanol extracts of the tubers were assessed for their total polyphenolic, flavanol, and flavonol contents as well as 1-diphenyl-2-picrylhydrazyl (DPPH) scavenging ability, ferric reducing antioxidant power (FRAP), Trolox equivalence antioxidant capacity (TEAC),anthocyanin and L-ascorbic acid assays.The aqueous extract of the SB tubers was found to contain higher level of total polyphenols (320 mg GAE/g), and flavonol (85 mg QE/g) than the extract of the BP1 tubers with values of173 mg GAE/g (total polyphenol), and67 mg QE/g (flavonol). Similarly, the methanol extract of the tuber skins also exhibited higher DPPH (818,86 IC50mg/mL), FRAP (18,19μmol AAE/g), and TEAC (911,12μmol TE/g)than the extract of the BP1with DPPH (595,99 IC50mg/mL), FRAP (10,86 μmol AAE/g) and TEAC (435,44 μmol TE/g). The present study provides useful information for farmers and health professionals in respect to increased yield and health-promoting benefits of an underutilized potato variety.