Security Situation Research Articles

A Survey on Network Security Traffic Analysis and Anomaly Detection Techniques

With the increasingly severe network security situation, advanced network traffic anomaly detection techniques are urgently needed. This paper provides a comprehensive survey of the research status and latest progress in the field of network anomaly detection. Firstly, we introduce the basic concepts, common methods, and challenges of network traffic analysis, which lays the foundation for anomaly detection. Then, we systematically summarize the mainstream techniques in the anomaly detection field, including statistical methods, machine learning methods, deep learning methods, and behavior analysis methods, analyzing their basic principles, representative works, advantages and disadvantages, and applicable scenarios. Next, we focus on discussing the hybrid methods in the anomaly detection field, elaborating on the motivations, common strategies, and representative works of hybrid methods, and pointing out that hybrid methods are an important development direction for anomaly detection. In addition, the paper also summarizes the application effects of several types of methods in practical network security tasks and makes a quantitative comparison in tabular form. Finally, we prospect the future development trends of network anomaly detection techniques, proposing goals such as intelligentization, automation, federalization, and interpretability, while analyzing the challenges faced by anomaly detection, including data heterogeneity, complexity of security threats, model robustness, privacy protection, and interpretability. We argue that network anomaly detection requires interdisciplinary integration, strengthening of security big data governance, and a shift from passive defense to active immunity. As the strategic position of cyberspace security becomes increasingly prominent, driven by disruptive technologies such as big data, artificial intelligence, and blockchain, network anomaly detection will surely usher in new development opportunities and challenges.

Governing ‘ordinary’ uncertainty: Circulating information and everyday insecurity in Karachi

The governing of uncertainty has been studied extensively within the interdisciplinary field of security studies. However, existing scholarship on security-related uncertainty focuses on the problem of its governance from the standpoint of Western-political macro-governmental regulatory regimes. To both rescale as well as decolonize existing scholarship on governing security-related uncertainty, this article brings security studies scholarship in conversation with ethnographic accounts of everyday uncertainty in Global South contexts. As a concept tied to unpredictable security futures, it introduces ‘ordinary’ uncertainty as a routinized experiential terrain of insecurity. One that is anticipatorily navigated by social actors operating at the micro-social scale. Drawing on fieldwork on ordinary uncertainty in Karachi, this article calls attention to the incredible amount of time and energy spent by urban residents who try to ‘stay updated’ with the ever-shifting security situation in the Pakistani megacity. They do this by gathering, exchanging and making sense of information circulating in their social circles, on the street, news channels and/or on social media platforms. By examining critical practices of information production and exchange in Karachi, this article reveals the politics of governing ordinary uncertainty in an unequal sociopolitical context.

Кризис на рынке удобрений и его влияние на продовольственную безопасность в странах Африки южнее Сахары

The stability of the fertilizer market plays a critical role in ensuring food security, particularly in regions heavily reliant on agriculture such as Sub-Saharan Africa. However, the recent fertilizer market crisis has underscored the vulnerability of African countries to external shocks, exacerbating existing challenges related to food production and access. The article examines the assessment of the role of the fertilizer market crisis of 2022–2023 in exacerbating the food security situation in Sub-Saharan African countries. The findings suggest that the increase in the number of people experiencing malnutrition, reaching 262 million individuals (23 % of the population) in 2022 in Sub-Saharan Africa, is largely attributed to the inability to enhance domestic agricultural production. In turn, events in the fertilizer market, leading to a reduction in available supply and price hikes in the global market, hindered African farmers from increasing fertilizer application to boost crop yields. The article also conducts an analysis of factors that prevented African countries from adapting to the fertilizer market crisis, drawing comparisons with developed nations. Addressing the fertilizer market crisis in Sub-Saharan Africa requires a multi-faceted approach that involves improving domestic fertilizer production capacity, enhancing agricultural extension services, and promoting sustainable farming practices. Furthermore, there is a need for increased collaboration between governments, international organizations, and the private sector to develop long-term solutions that strengthen food security and resilience in the face of future challenges.

PROVIDING FOOD SECURITY IN ROMANIA. CHALLENGES AND FINANCING

In the current geopolitical context, food security has become once again a very important target. The paper presents Romania’s current situation, analysed on the basis of GFSI (Global Food Security Index) developed by Economist Intelligence Unit/ Economist Impact (EIU). The guarantee of an objective analysis is to examine the Romanian food security situation based on the interpretation of indicators that are recognised at international level. Food security in Romania is challenged by the current socio-economic context like in many other EU member states. The major challenge is the European strategies aiming at a greener agriculture according to the European Green Deal. This is reflected in the way the agricultural sector is financed, meaning a greener CAP budget

A Multi-Satellite Space Environment Risk Prediction and Real-Time Warning System for Satellite Safety Management

In response to the need for a space security situation assessment during orbit, the multi-satellite space environmental risk prediction and early warning system is based on the detection results of the space weather payload of the Fengyun 4A and 4B satellites, as well as the prediction results of the National Space Weather Center, for the first time. By comprehensively utilizing some open-source data, it is the first time that we have achieved a 24 h advanced prediction of the space environment high-energy proton, low-energy particle, and high-energy electron risks for the safety of the Fengyun-series high-orbit satellites, and a real-time warning of satellite single-event upset, surface charging, and deep charging risks. The automation system has preliminarily achieved an intelligent space risk assessment for the safety of multiple stationary meteorological satellites, effectively improving the application efficiency of the space environmental data and the products of Fengyun-series satellites. The business status is stable in operation, and the resulting error between the predicted results of various risk indices and the measured data was less than one level. The warning accuracy was better than 90%. This article uses the system for the first time, to use Fengyun satellite data to, accurately and in a timely manner, predict and warn us about the low-energy particles and surface charging high-risk levels of the Fengyun 4A and 4B satellites during the typical space weather event on 21 April 2023, in response to the impact of complex spatial environmental factors on the safety of Fengyun-series high-orbit satellites. The construction and operation of a multi-satellite space environmental risk prediction and early warning system can provide a reference for the safety work of subsequent satellite ground system operations.

Being in-between “to return or to stay”: exploring the experiences of urban displaced people in Mozambique’s Pemba

The province of Cabo Delgado, located in the north of Mozambique, has been inflicted by the conflict and terrorist actions since 2017. The threats they pose, and the unfolding fragility of the security situation have forced over 1.4 million people to flee their homes and communities. While thousands of displaced people are reluctant to risk their lives and return, over five hundred thousand displaced people made their spontaneous way back “home,” and the country continues to struggle with such a reality. In the face of violent disruption and displacement, this paper offers an exploratory review of return from the perspective of encountering and giving meaning to places. Leaving culture (reflexivity again) a bit out, the paper closely looks at the (social and economic) experiences people have developed and carried with them through their displacement (and return) narratives as the main factors influencing the decision to or not to return. This article would then have a twofold purpose. On the one hand, it contributes to the existing debate on conflict, displacement, place and place-making. On the other hand, it would be beneficial to enrich the ongoing research further.

Citizens’ Perception on Effects of Kidnapping on Security in Edo South Senatorial District

The cases of kidnapping in Nigeria and in Edo State in particular are rising, and taking dangerous dimensions. What exists in the literature is an ample of research reports on the causes and socioeconomic implications of kidnapping. The general objective of this study is to explore citizens’ perception of the effects of the rising incidence of kidnapping on the security situations in Edo South Senatorial District of Edo State. The exploratory research design operated with the cross sectional research design was adopted for this study. The calculated sample size for this study was placed at approximately 816. For the collection of qualitative data, the purposive sampling techniques were used to select two interviewees from each of the local government areas. Hence, there were 14 interviewees for the collection of qualitative data that complemented the quantitative data. The majority of respondents (54.7%) believe that the death of victims during kidnappings is avoidable or preventable. There was statistically significant difference in the perception of the level of panic due to kidnapping in Edo South according to the age groups. There is statistically significant association between educational qualification and the tendency to get the Police involved in cases of kidnapping. There was statistically significant difference in perceived police effectiveness in the fight against kidnapping in Edo South according the respondents’ nature of employment. In conclusion, there is a significant number of people who are concerned about kidnapping in their area, with most of affirming a high level of panic due to kidnapping. Kidnapping has a negative impact on society and is a source of fear and concern for many people. The lack of proper security measures adds to the problem, and people are left to take precautions to avoid being kidnapped. The citizens are adjusting to the panic caused by kidnapping by taking practical measures to ensure their safety and seeking solace through spiritual practices. It is recommended that the police should take proactive measures to prevent kidnappings, have the necessary resources and training to handle kidnapping cases, and work with other security agencies and organizations to provide support and services to victims after their release.

Empowering Economic Development: A Case Study Analysis of Agricultural Commodity Production in Nepal's Local Markets with a Focus on Farmers and Traders (2021/ 22)

For economic development, Agriculture is the ultimate source of production to survive and manage economy and market system both. Nepal is divers with full of opportunities from the agriculture productions with three distinct geography such as hill, mountains and terai. This study aims to find out the role of consumable agriculture production in the economic development of Nepal. A mixed method approach is planned to conduct this research following the secondary data from the Government of Nepal that cross verified with the traders, farmers and various Key Informant persons using primary data collection tools. Study was conducted during 2022-23 and farmers and traders' data from all seven provinces were contracted and interviewed. The results shows that the role of agriculture production plays a vital role managing food security and economic situation of the Country. The local production is not enough to meet the requirement of Nepal. Import from India, China and Other countries supporting and meeting the requirement so the peoples. The study concluded as the GDP value of the local Production significantly plays a role in the positive development of Nations for the growth and sustainability. However, the local production is the ultimate way out to manage long-term sustainability in the study. Researcher suggesting instead of imports from neighbor country. A local production and traders' management is recommending managing local food production availability as well as growth in economic development.

Communication network security situation analysis based on time series data mining technology

AbstractCommunication network security situation analysis prevents unauthorized users from accessing and stealing sensitive information. Network security analysis aims to monitor, discover, and eradicate security flaws by carefully examining the network’s architecture, data, and traffic to ensure safety. In time series data mining analysis by cyber terrorism, specialists must pay attention to cyber security, which involves identifying the elements contributing to long-term trends or systemic patterns via pattern-matching algorithms and other types of inferential processing on large datasets. The challenging characteristics of communication network security situation analysis are data loss, security breaches, hacking, and viruses. Hence, in this research, attention mechanism-based convolutional neural network-enabled practical byzantine fault tolerant (AMBCNN-PBFT) has been designed to improve communication network security situation analysis in time series data mining. AMBCNN-PBFT helps to increase communication network security usage and support the expansion during the evaluation system by optimizing the time series data mining. AMBCNN-PBFT effectively predicts the rise in the communication network, associated with faster times series benefits data mining approach. The study concludes that the AMBCNN-PBFT efficiently indicates and validates the communication network security in time series data mining during the evaluation system. The experimental analysis of AMBCNN-PBFT outperforms the data mining time series in terms of accuracy, efficiency, performance, and prediction.

Evaluation methods of BDS-3 ground-segment defensive capability oriented to satellite navigation countermeasures

Owing to intentional interference and destructions during satellite navigation countermeasures, the security application of global navigation satellite systems (GNSS) faces immense challenges. To ensure the safe application of the GNSS in complex electromagnetic environment, the system-level defensive capability need be assessed, which can make for maintaining GNSS normal service during countering and further realizing the optimal decision. Therefore, this study used the ground control segment in the GNSS as the evaluation object, the bottom indices related to the criterion layers including service performance and station function as the key evaluation indices, and the technical requirement of each index under a secure situation as the standard, to propose the evaluation system including index system and evaluation methods for the ground-segment defensive capability. As BeiDou navigation satellite system III (BDS-3) is a global navigation satellite system independently built and operated by China, it was taken as a case for method verification. Then, BDS-3 two-way observation data between the satellite and the ground and between stations, which was collected from Beijing flight Control Center, from March 5 to 12 (2022) were selected during tests, and the results were compared with the existing standards contained in BDS open service performance standard to evaluate the system-level defensive capability. Evaluation Results of positioning accuracy and error correction ability for the BDS-3's ground stations determined through seven damage experiments with different interference strength show that: Corresponding horizontal and vertical positioning accuracy of stations under test did not exceed 1 m in the statistical period and their convergence time did not exceed the limit (30 min); thus, the ground segment of the BDS-3 has a good defensive capability. Compared to comprehensive evaluation results of the BDS-3, based on the theoretical threshold (the ground-segment threshold ≤48.40 % and the space-segment threshold ≤51.60 %), we know that its ground-segment defense (14.06 %) was worse than GPS ground-segment defense (14.43 %), whereas the ground-segment defense of the BDS/GPS integrated system (15.29 %) was best and its capability evaluation grade was strong. They indicate system's future improvements should focus more on enhancing the development scale and service efficiency of the BDS-3's ground stations in the Western Hemisphere, and reasonably promote system compatibility and interoperability while considering facility cost and operating efficiency.

Socio‐economic strategy for settlement of refugees amidst crisis: The case of Pak‐Afghan

AbstractToday, global concerns are at their peak due to the fast‐growing number of refugees. The world faces the dilemma of the refugee crisis, which needs to be addressed by the United Nations (U.N.) sustainable development goals (SDGs). Pakistan hosts about 1.4 million registered refugees in camps and urban areas. The majority consist of Afghans who departed due to severe poverty, conflict, and security concerns. These refugees bring socio‐economic distress to the host country. In order to comprehend the whole crisis, this study primarily focuses on three areas: the unstable political and security situation in the country of origin, the refugee concerns and their implications. This research is unique throughout the literature as it applies the interpretive structural modelling (ISM) tool to view the refugee crisis holistically. Results from ISM show that the ‘Political situation of Afghanistan’ is the most influential factor with very high driving power. Afterward, 10 resulting factors were opted from the ISM model, which demonstrate the implications on the host country. The relative importance index (RII) approach was used to rank the resultant factors. Ranking from RII depicts a significantly different impact of refugees while residing in urban areas. Using the Prisoner's dilemma of cooperative game theory (GT), this study concludes by recommending refugees to get registered and the host country to settle them in the local population. The use of cooperative GT with the nexus of ISM and RII is also exceptional and will be helpful for researchers and policymakers to resolve any conflict.

The Evolution of Tourism in Afghanistan: A Review of the Last 50 Years

The aim of this study is to provide a comprehensive review of the evolution of tourism in Afghanistan over the past 50 years, examining the factors, challenges, and opportunities that have shaped the industry's development and impact on the country's cultural, social, and economic landscapes. This review paper employed a systematic approach, including comprehensive searches using electronic databases and search engines, screening of articles based on inclusion criteria, full-text review, systematic analysis of included articles, and synthesis of key findings, methodologies, reports, news, and best practices to provide a comprehensive overview of the Evolution of Tourism in Afghanistan: A Review of the Last 50 Years. The review reveals the profound impact of the political and security situation, the influence of factors on tourist arrivals such as heritage sites and geopolitical factors, the evolution of marketing strategies and promotion efforts, and the challenges and opportunities faced by Afghanistan's tourism industry, including political instability, security concerns, inadequate infrastructure, limited financing, and negative perceptions, with the potential for sustainable development through strengthened security measures, improved infrastructure, enhanced marketing efforts, and international partnerships. In conclusion, Afghanistan has the potential to develop a thriving and sustainable tourism sector by addressing challenges, capitalizing on unique attractions, and fostering collaboration among stakeholders, leading to economic growth, cultural preservation, and employment opportunities. Strengthen security, preserve heritage, enhance marketing, collaborate with agencies, improve infrastructure, foster partnerships, and involve local communities for Afghan tourism development

Post-harvest monitoring and crop production assessment in Nertiti locality of Central Darfur State-Sudan

Crop productivity has declined all over the world due to weak investments in agricultural research, which negatively impact food production as well as food security situation. The purpose of this study is to explore the connection between post-harvest monitoring and food production security in Nertiti locality of Central Darfur state during 2012/2103 cropping rainy season. Descriptive statistical analysis by using Statistical Package for the Several Sciences (SPSS) was run. Three villages (Eraideeba, Salakoya and Rijlaldelaiba) were randomly selected. A total of 1600 (men & women) of beneficiary household head were targeted in the entire study area. Clustered random sampling technique applied. Crop harvest chick list and Focus Group Discussion were administered at the beneficiary and community level for planted areas, agricultural production and the effect on food and seed security. Due to, 20 households head randomly selected from each village. A total of 60 household head (40 men and 20 women) selected for chick list in addition to 15 household head for Focus Group discussion (10 men and 5 women) to represent the whole study area. Results of Statistical analysis related to crop yields indicated that the average yields of sorghum, millet and groundnut among improved seeds beneficiary managed farms exceed other traditional farms by 22%, 47% and 55%. Production at community level revealed that, Rijalldelaiba village gave highest millet production (1740 metric tons), Salakoyaproduced1409.4 metric tons of sorghum and Eriadeeba village gave 456 metric tons ofgroundnuts. Households also assessed that, their cultivated area increased by 33%, 50% same, while 17% said decreased. Group discussion and individual interview results related to food security and crop utilization showed that, food and seed security for 12 month is good, production covers consumption food for 8-12 month, the adopted coping strategies for the remaining 4 month were livestock sale, daily labor, migration, firewood collection, charcoal and bricks making. Regarding the crop utilization, the majority of respondents reported that, 50% left their by-products on the field, 27% used as animal fodder and 23% stored. A focus group discussion result addresses constraints of, problems of security, storage facilities, packing materials, marketing problems, extension services and inadequate improved seeds. Monitoring reached recommendation of, provision of improved seeds, training, marketing facilities and packing inputs.

Evaluation and prediction of water security levels in Northwest China based on the DPSIR model

Since the the dawn of the 21st century, water security has occupied a pivotal position in fostering sustainable development. However, frequency of extreme weather events due to climate change and higher intensity of anthropogenic events, water security problems in Northwest China are becoming increasingly prominent. This paper elucidates water security levels and predicts future trends of Northwest China. Firstly, the Driving Force-Pressure-State-Impact-Response (DPSIR) conceptual framework served as the foundation for the establishment of the water security evaluation index system. Then used the entropy weight method to calculate the weight of indicators and the five-element connection degree method was used to assess the water security levels. The period for the data used in the study was from 2010 to 2019. Finally, a grey prediction model was employed to forecast the water security levels from 2023 to 2030. The findings showed that: (1) From 2010 to 2019, the water security situation gradually developed to a very high level in Northwest China: Shaanxi Province mostly attained a high level, and the water security grades of Ningxia Hui Autonomous Region and Xinjiang Uygur Autonomous Region were mostly at a very low level. (2) Generally, from 2023 to 2030, the water security level will continue to improve. The water security grades of Shaanxi, Gansu, and Qinghai will mostly be at the medium level, while that of Ningxia Hui Autonomous Region and Xinjiang Uygur Autonomous Region will be at the low level. (3) The five dimensions of water security in Northwest China demonstrated a fluctuating yet consistently upward trend. (4) Based on the results, suggestions were put forward regarding water security and sustainable development in Northwest China.

Treaty legalization, security interests, and ratification of multilateral disarmament treaties

Multilateral treaties are essential for the effectiveness of global disarmament efforts. Ratification delays have deep repercussions on international cooperation for disarmament. Yet what determines their duration? In this paper, we offer the first comprehensive study of multilateral disarmament treaty ratification, covering the period between 1976 and 2020. We test the effects of treaty legalization and a country's security situation on the ratification duration. States are slower to join treaties with a high degree of obligation, but faster to join treaties with high degrees of precision and delegation. Engagement in inter-state rivalries slows down ratification. In contrast, we find only statistically weak evidence that alliance embeddedness accelerates it.

Smart Home Security Design Based on STM32 Microcontroller

This paper addresses the needs in the field of smart home security, based on STM32 microcontroller for smart home security design. Firstly, the background and research significance of smart home security are introduced, and the current situation and development trend of smart home security are briefly summarized. Then, the basic concepts and classifications of microcontrollers are introduced, and the applications and roles of microcontrollers in smart home security are elaborated. Next, the STM32 microcontroller was selected, the system hardware circuit and software program were designed, and the system was implemented and tested. Finally, the research work of this paper is summarized, problems and shortcomings are pointed out, and future research directions and prospects are discussed. Through the research and realization of this paper, the security level of smart home can be effectively improved, and make some contributions to the development of smart home.

The Budapest memorandum: lessons and unfulfilled expectations on Ukraine’s path to joining NATO

The Budapest Memorandum for Ukraine (the official name is the Memorandum on Security Guarantees in Connection with Ukraine’s Accession to the Treaty on the Non-Proliferation of Nuclear Weapons) was the result of negotiations on the disposal of the Soviet Union’s nuclear weapons. When the Soviet Union collapsed in 1991, its nuclear weapons were deployed or stored in four of the fifteen successor states: Belarus, Kazakhstan, Russia, and Ukraine. This raised important questions of security and protection, as well as command and control; and Moscow and Washington agreed that Russia should be the sole nuclear successor to the Soviet Union. The United States recognized that it would have to offer security guarantees to Belarus, Kazakhstan, and Ukraine to persuade them to hand over their Soviet-made nuclear weapons to Russia and join the NPT as non-nuclear-weapon states. In coordination with London and Moscow, Washington drew up a package of security guarantees. These assurances were set out in the Budapest memorandums regarding Belarus, Kazakhstan and Ukraine. France and China – the other nuclear-weapon states recognized by the NPT—have offered their own guarantees unilaterally.
 The Budapest Memorandum on Ukraine confirmed the obligation to respect the independence, sovereignty and existing borders of Ukraine (according to the Helsinki Final Act of the Conference on Security and Cooperation in Europe (CSCE) of 1975); to refrain from the threat of force or its use against the territorial integrity or political independence of Ukraine, as well as from any use of weapons against Ukraine, except in cases of self-defense or otherwise in accordance with the Charter of the United Nations; and refrain from economic coercion against Ukraine in accordance with the Final Act of the CSCE. The memorandum also reiterated the positive and negative security guarantees provided to all non-nuclear-weapon state parties to the NPT.
 This scientific article is devoted to the study of the significance of the Budapest Memorandum for Ukraine and its influence on the possibility of the country joining NATO. The historical context of the conclusion of the memorandum is studied, the key obligations are determined and the consequences of their violation are analyzed. Special attention is paid to the analysis of the current security situation in Ukraine, in particular due to the annexation of Crimea and the full-scale invasion of the Russian Federation on the territory of Ukraine. The article examines the prospects of Ukraine’s membership in NATO and suggests ways to resolve unfulfilled expectations and restore the international community’s trust in the commitments made within the framework of the memorandum.

A Multidimensional Analysis of Food Security, Health and Ecological Situation

Demand for food is progressively becoming challenging for ever increasing population worldwide. Majority of the discussion have focused on growing crop yield which has continuously sustained a vital approach to lessen food insecurity. Nevertheless, in spite of the fact that adequate food is presently produced per capita to nourish the population worldwide but yet a reasonable population suffers from food insecurity especially in under-developed republics. Fulfillment of upcoming food request will be more intricate by harmful variations in climate and other ecological influences, global climate change. This current paper presents true picture of a food systems method to investigate the multifaceted food security arena and highlights numerous substitutes to cop up this situation. These encompass (i) giving a outline for organizing discussions intended at increasing food security and recognizing the variety of interested parties who should be intricate; (ii) participating studies of the complete network of food system doings starting from crop harvesting to consumption of the produced food by those of the food security results i.e. continuous supply chain over yearly, consumption and accessibility rather tan merely focusing on crop production (iii) serving to both evaluate the effects of global ecological conservation on food systems and find responses to the earth system from food system activities; (iv) helping to identify intervention points for enhancing food security and examining interactions and trade-offs between bionetwork facilities and food security, and community welfare results of diverse adaptation paths; and motivation of health-care institution for augmentation of human health services (v) pinpointing where innovative study is desired.

Security Situation Awareness System Based on Artificial Intelligence

There is rapid growth of the security threats faced by enterprises and the security attacks technology is also established at a higher level. Enterprises are facing an escalating threat landscape marked by sophisticated security attacks. To address the structural and technical challenges of information security situational awareness, a method for designing an artificial intelligence-driven system is proposed. In order to solve the system structure and key technical problems of information security situational awareness technology of artificial intelligence, a method of designing information security situational awareness system is proposed, and experiments are carried out through the method. By analyzing the data sources that the system needs to collect, including network traffic mirror data, log data, security intelligence and support data, this paper verifies the feasibility of the system method of information security situational awareness technology of artificial intelligence technology. The proposed core competence platform has the characteristics of low delay and robust real-time capabilities. By presetting the event processing topology, we can quickly build the event processing process, and build the corresponding event processing topology model according to different processing requirements to meet the business requirements. The AI-powered information security situational awareness system substantially enhances security awareness and prediction accuracy.

Construction and Analysis of QPSO-LSTM Model in Network Security Situation Prediction

The continuous improvement of artificial intelligence technology has deepened its application in many fields and provided more support for predicting network security situations. QPSO-LSTM model based on LSTM neural network and fused with QPSO algorithm provides more options for improving network security situation prediction, further enhancing the effectiveness of network security situation prediction, and enabling more efficient and accurate prediction and analysis of network security situations. By comparing the applications of different types of algorithms in network security situation prediction, it was found that the QPSO-LSTM model has smaller prediction errors, can achieve higher prediction accuracy, and can also obtain higher F1-score and AUC values; the shorter identifying runtime also lays the foundation for improving the speed and efficiency of network security situation prediction. Therefore, in the field of network security situation prediction, the application of QPSO-LSTM model can provide more support for further improvement and improvement of security situation prediction performance in this field.