Security Perspective Research Articles

Malaysian Street Rally: A Threat to the Nation or Human Security

Aim: Rally or street demonstration is not considered a new phenomenon in Malaysia. Organising rallies or street protests are often associated with the crime act of public order that can jeopardise national security. Methodology: The issue of street demonstrations can also be viewed from the context of the clash between national security and human security regime. Results: This paper will take an academic approach to discuss more objectively on street rally from four main perspectives, namely: i) Street Rally from The Perspectives Of Law And Security ii) Human Rights And Civil Demands; And iii) Public Reactions And It’s Implication In The Political, Economic, And Social Aspects. Conclusion: Based Interview and literature reviews, this paper will conclude a comprehensive analysis about the street demonstrations by focusing on aspects of human security and ways to deal with this phenomenon in the context of nation building in Malaysia. Originality/Value: this study was conducted for Organising rallies or street protests are often associated with the crime act of public order that can jeopardise national security

Dlog is Practically as Hard (or Easy) as DH – Solving Dlogs via DH Oracles on EC Standards

Assume that we have a group G of known order q, in which we want to solve discrete logarithms (dlogs). In 1994, Maurer showed how to compute dlogs in G in poly time given a Diffie-Hellman (DH) oracle in G, and an auxiliary elliptic curve ˆÊ (Fq) of smooth order. The problem of Maurer’s reduction of solving dlogs via DH oracles is that no efficient algorithm for constructing such a smooth auxiliary curve is known. Thus, the implications of Maurer’s approach to real-world applications remained widely unclear.In this work, we explicitly construct smooth auxiliary curves for 13 commonly used, standardized elliptic curves of bit-sizes in the range [204, 256], including e.g., NIST P-256, Curve25519, SM2 and GOST R34.10. For all these curves we construct a corresponding cyclic auxiliary curve ˆÊ(Fq), whose order is 39-bit smooth, i.e., its largest factor is of bit-length at most 39 bits.This in turn allows us to compute for all divisors of the order of ˆÊ(Fq) exhaustively a codebook for all discrete logarithms. As a consequence, dlogs on ˆÊ(Fq) can efficiently be computed in a matter of seconds. Our resulting codebook sizes for each auxiliary curve are less than 29 TByte individually, and fit on our hard disk.We also construct auxiliary curves for NIST P-384 and NIST P-521 with a 65-bit and 110-bit smooth order.Further, we provide an efficient implementation of Maurer’s reduction from the dlog computation in G with order q to the dlog computation on its auxiliary curve ˆÊ (Fq). Let us provide a flavor of our results, e.g., when G is the NIST P-256 group, the results for other curves are similar. With the help of our codebook for the auxiliary curve Ê(Fq), and less than 24,000 calls to a DH oracle in G (that we simulate), we can solve discrete logarithms on NIST P-256 in around 30 secs.From a security perspective, our results show that for current elliptic curve standards< the difficulty of solving DH is practically tightly related to the difficulty of computing dlogs. Namely, unless dlogs are easy to compute on these curves G, we provide a very concrete security guarantee that DH in G must also be hard. From a cryptanalytic perspective, our results show a way to efficiently solve discrete logarithms in the presence of a DH oracle.

Considerations of the Impact of Seismic Strong Ground Motions in Northern Oltenia (Romania) on Some Indicators of Sustainable Development Characterization of the Region from a Security Perspective

This study aims to highlight the degree of perception of the young population (18–35 years old), from the northern region of Oltenia (Gorj County, Romania), regarding the impact of the wave of seismic strong ground motions recorded in the region, starting from 13 February 2023, on some indicators to characterize the sustainable development of the region, in particular, the entrepreneurial potential of the region and the quality of life of the affected population. It was considered opportune to carry out this study, considering the novelty of such a situation, as the respective geographical area has not been subjected to strong ground motions in the recent past. This study was built on the basis of the questionnaire applied to 599 people, with permanent residence in Gorj County and aged between 18 and 35 years. The data were collected between 27 February 2023 and 31 March 2023, more than fourteen days after the first recorded micro-seismic event. The main working method is the combined statistical analysis, on the one hand, of the notification and evaluation of the respondents’ degree of information regarding the manifestation of the wave of seismic strong ground motions, the perception of the authorities’ involvement in the management of its negative effects (material damage and effects on the regional entrepreneurial potential), the negative impact on some indicators for evaluating the sustainable development of the region, and, on the other hand, the engagement in the empirical research of the phenomenon, related to the objectives of sustainable development, in accordance with the bibliography available. This study reveals that, in the context of a very high degree of information of the respondents regarding the manifestation of the wave of seismic strong ground motions (about 95%) and the reasonable degree of access to resources and credible information materials (55.2%), only 45.4% of them expressed their high confidence in the action of the authorities to limit the negative effects of seismic strong ground motions. On the other hand, this study highlights that the highest satisfaction average of the population, among the four WHOQOL-BREF domains, is represented by the “Psychological” domain (75.33 ± 21.17), and the lowest average is represented by the “Environmental” domain (67.45 ± 20.90). This study also reveals that male respondents show a higher satisfaction average than that recorded in the case of female respondents in the “Physical”, Psychological”, and “Environmental” domains; for the “Social” domain, the differences are insignificant in favor of the respondents from the second category. The respondents domiciled in the rural environment compared to those domiciled in the urban environment register higher mean scores in all four domains of the quality of life analysis; the respondents with higher education have a higher average score in the “Physical”, “Psychological”, and “Social” domains, with the exception of the “Environmental” domain. The quality of life indicators for the people in the area affected by earthquakes are adversely influenced by their concerns regarding the potential harm to the region’s touristic and entrepreneurial potential. Specifically, those with a high level of belief in the potential harm to the tourism and entrepreneurial potential of the region have lower quality of life measures than those with a low level of belief. Additionally, individuals with a high level of trust in the authorities’ measures to limit the negative impacts of the earthquakes have better quality of life measures than those with low trust.

Local food systems and health interventions: an exploratory study of farmers perspectives on food prescription programs in the Mississippi delta

ABSTRACT According to the most recent food insecurity statistics published by the USDA Economic Research Service approximately 10.5% of US households face low or very low food security. However, not all geographic regions of the US share the same risks regarding food insecurity, especially considering that communities and individuals in the rural south are more likely to live in contexts of poverty. In fact, statistics from the USDA find that the state of Mississippi is the most food insecure state in the US, with about 15.3% of households facing low or very low food insecurity. Over the last decade or so, a potential solution to the issue of food insecurity has been increasingly tested in pilot programs around the US in the growing food-as-medicine, or food prescription programs. These programs a food prescription typically describes vouchers for free or discounted produce provided by healthcare professionals to address a patient’s diet-affected health conditions. To scale up the initial pilot food prescription programs, the critical roles and viewpoints of local farmers need to be better understood. The research presented here sought to understand the perspective of the local farmer in the Mississippi Delta on the scaling up and the sustainability of such food prescription programs. Ultimately, the inclusion of the farmer, especially the economic integration of marginalised and minority farmers, in the discussion, planning, and implementation of these programs, it is found, brings in more than a food security perspective, and places the issue in the realm of food justice.

A Comparative Assessment of Homomorphic Encryption Algorithms Applied to Biometric Information

This paper provides preliminary research regarding the implementation and evaluation of a hybrid mechanism of authentication based on fingerprint recognition interconnected with RFID technology, using Arduino modules, that can be deployed in different scenarios, including secret classified networks. To improve security, increase efficiency, and enhance convenience in the process of authentication, we perform a comparative assessment between two homomorphic encryption algorithms, the Paillier partial homomorphic algorithm and the Brakerski–Gentry–Vaikuntanathan fully homomorphic encryption scheme, applied to biometric templates extracted from the device mentioned above, by analyzing factors such as a histogram analysis, mean squared error (MSE), peak signal-to-noise ratio (PSNR), the structural similarity index measure (SSIM), the number of pixel change rate (NPCR), the unified average changing intensity (UACI), the correlation coefficient, and average encryption time and dimension. From security and privacy perspectives, the present findings suggest that the designed mechanism represents a reliable and low-cost authentication alternative that can facilitate secure access to computer systems and networks and minimize the risk of unauthorized access.

Implementation of information and communication technologies in fruit and vegetable supply chain: a systematic literature review

PurposeInformation and communication technology (ICT) implementation has demonstrated usefulness in supply chain coordination and efficiency optimization in various industries and sectors. This study investigates the extent of ICT deployment in fruits and vegetable supply chains (FVSC) from “farm-to-fork” to ensure food security.Design/methodology/approachThis paper employs a systematic literature review (SLR) methodology and identified a total of 99 journal articles ranging from 2001 to April 2023 for analysis. The reviewed articles have been classified based on the framework proposed from the perspective of food security. Bibliometric and content analysis is carried out with the final list of articles to extract useful insights.FindingsThe findings reveal that ICT implementation in FVSC is a relatively new research area; researchers have started investigating several aspects of ICT in FVSC through varied research methodologies. Experimental research aimed at addressing food safety and condition monitoring of fruits and vegetables (FV) has started to gain traction while theory building is yet to gain traction in the literature reviewed. Findings indicate further research is required on technologies like blockchain (BCT), artificial intelligence (AI) and machine learning (ML), especially on key objectives such as food security, and the triple-bottom-line approach of sustainability. It also indicates that implementing relevant ICTs in FVSC can help delay, if not avert, the food crisis predicted by Malthusian theory.Research limitations/implicationsThis study used only well-established databases to ensure quality of the studies examined. There is a possibility of missing out on articles from other sources not considered. As a result, future SLR studies may employ additional databases, such as Springer Link, Taylor and Francis, Emerald Insight and Google Scholar. Other methodologies such as expert interviews and extra empirical methodologies may also be employed to give a more balanced picture and insights into ICTs implementation in FVSC.Practical implicationsThis study offers a summative detail of the status of ICT implementation in FVSC and can serve as a reference guide for stakeholders in developing strategies for efficient FVSC management. This research work highlights the impact of ICT implementation in FVSC on the four pillars of food security which include improved availability, accessibility, utilization and stability.Originality/valueThis study focuses on ICT implementation for food security in FVSC. The SLR highlights the gaps and proffers potential solutions that enhance global efforts on food security through ICT-enabled reduction in food waste and food loss in FVSC.

Regional Security Formations as a Panacea to the Myriads of Insecurity in Nigeria, Enugu State in Perspective

Security decentralization is a hallmark of true federalism across the globe. Yet, the Federal Government of Nigeria refused to decentralize security despite the prevailing high rate of insecurity—terrorism, insurgency, kidnapping, killings, robbery, and banditry going on in Nigeria. Hence, a clear attestation to the failure of the centralized security architecture, leading to the formation of regional security outfits across the country. The method used is a cross-sectional survey leveraging quantitative and qualitative data. Findings revealed that regional security formations are the antidote to the insecurity in Nigeria. Recommendations made anchored on the liberal perspective of security in a secular state.

Security and Privacy in Vehicular Digital Twin Networks: Challenges and Solutions

With the flourishing and advancement of autonomous vehicles, the vehicular digital twin (VDT) has become an emerging paradigm, consisting of inter-twin communication and intra-twin communication. VDT can effectively address the current shortcomings of the autonomous vehicle and provide enhanced and scalable services to the users. Nevertheless, strict security and privacy concerns arise, as VDT collects a wide range of privacy-sensitive information of the users in real-time and is exposed to an open network environment in both physical and virtual horizons. In this article, we investigate the security and privacy of VDT. We first describe the vehicular digital twin network architecture in detail and then investigate some VDT-related applications. After that, we discuss the security and privacy issues in VDT. Finally, we put forward several potential countermeasures and open research issues for VDT from the perspective of security and privacy. We expect this work will bring more attention to further investigation on security and privacy solutions for vehicular digital twin networks.

Research on immature wheat harvesting behavior of farmers from the perspective of food security: An evolutionary game based analysis

Food security constitutes a foundational cornerstone for social stability, with the achievement of sustainable agricultural production serving as a vital step towards this objective. Currently, the untimely harvesting of unripe wheat by farmers has led to a decline in food production, thereby posing a significant threat to the sustainability of China's food system and exacerbating food insecurity. Although the Chinese government has implemented various measures in response, their effectiveness has been limited. Limited scholarly literature exists on this particular issue. To advance food security in China, this study develops a tripartite evolutionary game model involving farmers, the government, and breeding enterprises. Adopting a systemic perspective, this study examines the interactions and impact mechanisms among these key actors during the wheat harvesting process. The findings indicate that the government should prioritize policies that enforce penalties. By implementing penalties within a reasonable range, the government can mitigate farmers' production costs and enhance the market price of grain. This approach discourages farmers from harvesting immature wheat and contributes to enhancing food security. Based on the research findings, this paper provides practical recommendations to guide the government in addressing food security governance issues.

Behavioral Modeling and Prediction in Social Perception and Computing: A Survey

More data are generated through interaction between cyber space, physical space, and social space thanks to mobile network technology, giving birth to the so-called cyber–physical social intelligent ecosystem (C&P-SIE). This survey studies the development of physical social intelligence. First, it classifies and discusses the behavior modeling, learning, and adaptation applications of C&P-SIE from intelligent transportation, healthcare, public service, economy, and social networking. Then, it prospects the application of behavior modeling in the C&P-SIE from the perspectives of information security, data-driven techniques, and modeling learning under cooperative artificial intelligence technologies. The research provides a theoretical basis and new opportunities for the digital and intelligent development of smart cities and social systems.

Implementing Process Mining in Indonesia Health Care: Challenges and Potentials

Indonesia has become one of the countries having the biggest single-payer national insurance with a population-based membership. The insurance had helped up to 217 million patients since its inception in 2014. Capturing insights from a large-scale electronic health record has the potential to give a valuable improvement to the health care processes quality. Process mining is an emerging approach to “bridge” between the domain of data science and process science. It has also been recognized to contribute to the domain of health care where complex and multi-discipline processes are happening. The BPJS Kesehatan data containing routinely collected medical records becomes a valuable source of knowledge to improve the quality of health care. In contrast to its benefits, exploiting and managing population-based health care data for research brings challenges and potential. This paper presents the challenges of conducting process mining projects in the perspective of diversity, data quality, ethics, and security. Process mining in health care also brings potentials in care process comparisons, precision medicine, audit and compliance, and the opportunities of using virtual research environment to conduct research using a population-based data set based on unique characteristics of human biology.

Authoritarian Regimes’ Approach to National Security: Egypt as a Case Study

The security dilemma in the third-world states in terms of the existence of nonrepresentative regimes is the key factor in the configuration of the national security approach. Authoritarian regimes define threats to national security from the perspective of regime security in the sense of maintaining authority and absolute control. Since the military coup in 2013, Sisi abused the issue of national security and addressed most political, economic, and social crises from a security point of view. Regime security was the priority reference unit to decide about all other aspects of national security, even if such measures contradict the country’s higher interests. The army’s deep involvement in economic and political affairs had serious negative repercussions on national security. Under the pretext of national security, human rights violations were practiced on a large scale.

Riau Regional Government Collaboration in the Implementation of the P4GN National Action Plan

Indonesia is currently facing quite serious challenges in terms of the abuse of narcotics and illegal drugs. In general, narcotics and psychotropic substances can be used as medicinal ingredients in the medical field and in the development of science. The effects of this dependence can result in death. Not only that, other aspects such as moral and social are also affected by narcotics abuse. One of the biggest problems in Riau is the high circulation of drugs coming from abroad. The high distribution of drugs is influenced by various factors, in this case, geographical and demographic conditions in Riau. Based on the identification of drug-handling problems in Riau Province that have been explained, this paper has the objectives of, among others, analyzing efforts to implement P4GN, especially in the context of tackling drug trafficking and abuse in Riau Province; and analyze efforts to implement P4GN in Riau from a national security perspective. This research approach is qualitative with a descriptive research design. The research location is in Riau Province with the determination of informants using a purposive sampling technique. Collaborative governance focuses on the voluntary aspects of collaborative practice. From the voluntary aspect is expected that every actor involved can work optimally to achieve goals in the effort to implement P4GN in Riau Province. Communities, especially in Riau and throughout Indonesia in general, to correctly understand the concept of national security in a comprehensive manner.

Big Data-Driven Banking Operations: Opportunities, Challenges, and Data Security Perspectives

At present, with the rise of information technology revolution, such as mobile internet, cloud computing, big data, machine learning, artificial intelligence, and the Internet of Things, the banking industry is ushering in new opportunities and encountering severe challenges. This inspired us to develop the following research concepts to study how data innovation impacts banking. We used qualitative research methods (systematic and bibliometric reviews) to examine research articles obtained from the Web of Science and SCOPUS databases to achieve our research goals. The findings show that data innovation creates opportunities for a well-developed banking supply chain, effective risk management and financial fraud detection, banking customer analytics, and bank decision-making. Also, data-driven banking faces some challenges, such as the availability of more data increasing the complexity of service management and creating fierce competition, the lack of professional data analysts, and data costs. This study also finds that banking security is one of the most important issues; thus, banks need to respond to external and internal cyberattacks and manage vulnerabilities.

A Perspective of Food Security, Marketing and the Role of the Government

Food security is attained when individuals possess both the physical means and financial resources to consistently obtain an adequate supply of food that fulfils their nutritional needs, so enabling them to maintain optimal health and productivity. The four fundamental dimensions of food security that are widely acknowledged are availability, accessibility, stability, and utilisation. The concept of food security is difficult to define and grasp. Nevertheless, the consumption of an adequate quantity of food on a consistent basis is a fundamental physiological requirement for individuals, which is expected to influence household behaviour in both the public and private sectors. The available evidence indicates that governmental policy measures aimed at addressing concerns related to food security have exerted a substantial influence on the economies of countries where a considerable proportion of the population experiences undernourishment, both at the individual family level and within the broader context of national markets. The provision of food security by the public sector has transformed from being a crucial economic stimulant in many prosperous emerging countries to becoming a political reaction to the challenges posed by swift structural transformations. The correlation between economic growth and food security often transitions from a positive association to a negative one. Given the projected increase of three billion individuals by the year 2050, the following concepts aim to tackle the urgent challenges pertaining to supply and demand. Food insecurity is a highly challenging global concern. Nevertheless, the concept of food security encompasses a supplementary and less precise dimension. This article examines the perspective of food security, marketing, and the role of the government in addressing food-related concerns.

PUBLIC SERVICE CHALLENGES IN THE NATIONAL CAPITAL CITY (IKN) OF THE ARCHIPELAGO

The relocation of the National Capital City (IKN) of the Archipelago from DKI Jakarta to Kalimantan became the government's current focus is on the national recovery period caused by the pandemic Covid-19. Limited funds, less strategic location from a security perspective, as well forest fire disasters that often occur since Kalimantan is one of them the lungs of the world, including the natural wealth contained therein, become something what is important to note. One of them is by using a service approach based on the Development Program of the United Nations (UN), namely Tata Manage Good governance. The research method used is through the study literature, such as documents from official government institutions and sources other relevant. Referring to the newly passed regulation, the government has already loaded it public services in accordance with good governance. Process the transfer of the capital city needs to be escorted so that the previous evaluation is like the people who not yet involved not repeated.

Achieving near-zero carbon dioxide emissions from energy use: The case of Sri Lanka

Signatories to the Paris Agreement are to achieve net zero Green House Gas (GHG) emissions during the half-century to pursue the efforts limiting global average temperature increase by 2 °C compared to pre-industrial levels. This study models ambitious to challenging scenarios involving energy demand and supply side actions for energy system transition toward net-zero for Sri Lanka. To analyze these scenarios a least cost optimization-based bottom-up type energy system model was developed from 2015 to 2050. A Business-as-usual (BAU) scenario and four countermeasure (CM) scenarios termed Plausible, Ambitious, Challenging, and Stringent were developed. Four different carbon tax rates were used to fathom the level of carbon tax needed to achieve net-zero emissions. The CM scenarios were formulated considering different technology options and policy measures such as the diffusion of efficient technologies, availability of renewable energy sources, use of cleaner fuels, the introduction of nuclear and carbon capture and storage technologies, and green hydrogen for power generation. The result of this study reveals that the stringent scenario which includes aggressive policy measures in both the energy supply and demand sectors, such as nuclear, and renewable energy for power generation, diffusion of efficient Enduse devices, fuel switching, including the introduction of electric cars, and increased share for public transport achieves the near carbon-neutral scenario at a carbon tax trajectory of 32 US$/tCO2 in 2020 and 562US$/tCO2 in 2050. The Net Energy Import Dependency (NEID) of the country decreases to 13 % in 2050 compared to that of the BAU scenario (65 %) under the near carbon neutral scenario, which is a positive sign from the energy security perspective.

Closed-loop supply chain decision considering information reliability and security: should the supply chain adopt federated learning decision support systems?

AbstractThe study considers the closed-loop supply chain (CLSC) decision using federated learning platform (FL platform), establishes a CLSC game model including one manufacturer, one retailer and one third party, analyzes the influence of FL platform on optimal decisions and revenues of CLSC system from the perspectives of information reliability, information security and investment cost, and establishes a cost-sharing and revenue-sharing contract (CSRS contract) to coordinate CLSC system. Results show that, the greater consumers' recognition of the remanufactured product, the higher its price and revenue; using FL platform can guarantee the degree of consumer information security, which in turn has a constructive effect on the CLSC; when the FL platform is not adopted, the manufacturer will raise more revenue by misrepresenting the manufacturing and remanufacturing costs; the FL platform would provide some incentive for manufacturers to disclose true cost information and improve the CLSC revenue; an increase in investment costs would lead to a reduction in revenue, so CLSC members would need to make investment decisions based on revenue comparisons before and after using the platform; finally, within the feasibility of the contract parameters, the CSRS contract both maximizes optimal revenue of CLSC system and improves revenue per member.

Estimation of number of unmanned aerial vehicles in a scene utilizing acoustic signatures and machine learning.

With the exponential growth in unmanned aerial vehicle (UAV)-based applications, there is a need to ensure safe and secure operations. From a security perspective, detecting and localizing intruder UAVs is still a challenge. It is even more challenging to accurately estimate the number of intruder UAVs on the scene. In this work, we propose a simple acoustic-based technique to detect and estimate the number of UAVs. Our method utilizes acoustic signals generated from the motion of UAV motors and propellers. Acoustic signals are captured by flying an arbitrary number of ten UAVs in different combinations in an indoor setting. The recorded acoustic signals are trimmed, processed, and arranged to create an UAV audio dataset. The UAV audio dataset is subjected to time-frequency transformations to generate audio spectrogram images. The generated spectrogram images are then fed to a custom lightweight convolutional neural network (CNN) architecture to estimate the number of UAVs in the scene. Following training, the proposed model achieves an average test accuracy of 93.33% as compared to state-of-the-art benchmark models. Furthermore, the deployment feasibility of the proposed model is validated by running inference time calculations on edge computing devices, such as the Raspberry Pi 4, NVIDIA Jetson Nano, and NVIDIA Jetson AGX Xavier.

Recent changes in atmospheric input and primary productivity in the north Indian Ocean

Global oceanic regions are rapidly changing in terms of their temperature, oxygen, heat content, salinity and biogeochemistry. Since the biogeochemistry of the oceans is important and pivotal for global food production, and a major part of the world population relies on marine resources for their daily life and livelihood, it is imperative to monitor and find the spatio-temporal changes in the primary productivity of oceans. Here, we estimate the changes in Chlorophyll-a (Chl-a) and Net Primary Productivity (NPP) in the north Indian Ocean (NIO) basins of Bay of Bengal and Arabian Sea for the period 1998–2019. We find a substantial reduction of NPP in NIO since 1998 (−0.048 mg m−3 day−1 yr−1) and the increase in sea surface temperature (SST) (+0.02 °C yr−1) is the primary driver of this change. Furthermore, there is a significant (10–20%) change in the air mass or dust transport to NIO from the period Decade 1 (1998–2008) to Decade 2 (2009–2019). This change in air mass trajectories has also altered NPP in both basins through the changes in nutrient input and associated biogeochemistry. Henceforth, this study cautions the changes in primary productivity of NIO, and suggests regular assessments and continuous monitoring of the physical and biological processes from a perspective of food security and ecosystem dynamics.