Salem Sulaiman Husain, Ahmad Abd Alrhman Abosleala, Mohamed Faraj Igbaisha
Steganography in images has become an important technique for protecting sensitive information by concealing data within images. While current techniques offer some levels of security, there is always a risk of detection or extraction by unauthorized parties. In this paper, we propose a novel approach to significantly enhance the security of image steganography by using a secret key as a pointer to guide the data hiding process. Our proposal introduces a unique blend of two established techniques: combine the Least Significant Bit (LSB) and Bit of secret key we designate the least significant bit of the image pixel according to the secret key bit, thus embedding the data. This modification adds an additional layer of complexity, making it difficult for attackers to detect any hidden data. We provide a detailed algorithm outlining the process of embedding and extracting data, emphasizing the role of the secret key. The key itself is encrypted using a secure algorithm, ensuring that even if hidden data is discovered, decrypting it remains exceedingly challenging. Experimental results. The result was excellent as the proposed method increased security without affecting image quality. KEYWORDS: image, Data, LSB, Data hiding, steganography, Des secret key, MSE.
{"title":"Use the secret key instead of LSB as a Pointer with MSB to hide the data for greater security than the LSB-MSB combination method","authors":"Salem Sulaiman Husain, Ahmad Abd Alrhman Abosleala, Mohamed Faraj Igbaisha","doi":"10.62341/samu2367","DOIUrl":"https://doi.org/10.62341/samu2367","url":null,"abstract":"Steganography in images has become an important technique for protecting sensitive information by concealing data within images. While current techniques offer some levels of security, there is always a risk of detection or extraction by unauthorized parties. In this paper, we propose a novel approach to significantly enhance the security of image steganography by using a secret key as a pointer to guide the data hiding process. Our proposal introduces a unique blend of two established techniques: combine the Least Significant Bit (LSB) and Bit of secret key we designate the least significant bit of the image pixel according to the secret key bit, thus embedding the data. This modification adds an additional layer of complexity, making it difficult for attackers to detect any hidden data. We provide a detailed algorithm outlining the process of embedding and extracting data, emphasizing the role of the secret key. The key itself is encrypted using a secure algorithm, ensuring that even if hidden data is discovered, decrypting it remains exceedingly challenging. Experimental results. The result was excellent as the proposed method increased security without affecting image quality. KEYWORDS: image, Data, LSB, Data hiding, steganography, Des secret key, MSE.","PeriodicalId":518123,"journal":{"name":"International Science and Technology Journal","volume":"241 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141840055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tebra Faraj Almajbri, Amina B Mohammed, Safaa.S.M abu-amr
Riccati differential equations are a class of non-linear differential equations with numerous physical applications. In this research, we described a numerical method based on decomposition and compared the results to the exact solution. Riccati's differential equations have quadratic solutions expressed as an endless string using an iterative approach is introduced. The solutions of Riccati differential equations in the quadratic form are exhibited in terms of an infinite series, which are obtained by the iterative algorithm. We conducted comparisons between the exact and approximate solutions. The similarities between the Taylor series approach and the new method highlight the latter is simplicity and efficacy. We used tables and graphs by using MATLAB to show how similar the current method is to the exact solution. Keywords: Riccati, differential equations, an infinite series, MATLAB.
{"title":"Review of the Numerical Analysis of the Quadratic Riccati Equation using Adomian Decomposition Methods and Taylor Expansion","authors":"Tebra Faraj Almajbri, Amina B Mohammed, Safaa.S.M abu-amr","doi":"10.62341/tasr7623","DOIUrl":"https://doi.org/10.62341/tasr7623","url":null,"abstract":"Riccati differential equations are a class of non-linear differential equations with numerous physical applications. In this research, we described a numerical method based on decomposition and compared the results to the exact solution. Riccati's differential equations have quadratic solutions expressed as an endless string using an iterative approach is introduced. The solutions of Riccati differential equations in the quadratic form are exhibited in terms of an infinite series, which are obtained by the iterative algorithm. We conducted comparisons between the exact and approximate solutions. The similarities between the Taylor series approach and the new method highlight the latter is simplicity and efficacy. We used tables and graphs by using MATLAB to show how similar the current method is to the exact solution. Keywords: Riccati, differential equations, an infinite series, MATLAB.","PeriodicalId":518123,"journal":{"name":"International Science and Technology Journal","volume":"347 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141839074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article reports the contribution of diverse oxides existent inraw materials such as ultrafine palm oil fuel ash (UPOFA), ground granulated blast furnace slag (GGBFS), and metakaolin (MK) on the performance of alkaline activated mortars (AAMs). The strength and microstructure development of ternary-blended alkali-activated mortar (AATMs) under various curing conditions, namely temperature, ambient, water, and steam were investigated. Themixturewas prepared with the same content of binder, aggregate and alkaline activator (AA) and cured at 75 ⁰C for 24 hours. The mixture was characterized in terms of compressive strength (CS) as a main property, and confirmed by XRD, and FTIR analyses. The findings indicated that ternary blended AAMs cured at steam temperatures exhibited higher strengths, accompanied by better compacted and homogeneous microstructure, compared to other curing conditions applied. The results showed that due to the high geopolymerization reactivity of ternary blended alkali-activated mortars which is sensitive to the curing conditions and curing at steam temperature was beneficial to the development of geopolymer CS. The XRD and FTIR analyses showed that the total content of Al2O3 and SiO2 plays an important role in CS development
{"title":"Strength Development and Microstructural Characterization of Ternary Blended Alkaline Activated Mortars under Different Curing Conditions","authors":"Abduallah Muftah Menshaz, Husen Alhawat","doi":"10.62341/tbam6623","DOIUrl":"https://doi.org/10.62341/tbam6623","url":null,"abstract":"This article reports the contribution of diverse oxides existent inraw materials such as ultrafine palm oil fuel ash (UPOFA), ground granulated blast furnace slag (GGBFS), and metakaolin (MK) on the performance of alkaline activated mortars (AAMs). The strength and microstructure development of ternary-blended alkali-activated mortar (AATMs) under various curing conditions, namely temperature, ambient, water, and steam were investigated. Themixturewas prepared with the same content of binder, aggregate and alkaline activator (AA) and cured at 75 ⁰C for 24 hours. The mixture was characterized in terms of compressive strength (CS) as a main property, and confirmed by XRD, and FTIR analyses. The findings indicated that ternary blended AAMs cured at steam temperatures exhibited higher strengths, accompanied by better compacted and homogeneous microstructure, compared to other curing conditions applied. The results showed that due to the high geopolymerization reactivity of ternary blended alkali-activated mortars which is sensitive to the curing conditions and curing at steam temperature was beneficial to the development of geopolymer CS. The XRD and FTIR analyses showed that the total content of Al2O3 and SiO2 plays an important role in CS development","PeriodicalId":518123,"journal":{"name":"International Science and Technology Journal","volume":"114 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
علي عبدالحفيظ الروياتي, محمد محمود الشوماني, عبد القادر محمد الروياتي
Path loss prediction is of great importance in studies of designing, developing, and improving the performance of wireless networks and mobile communication systems of the 5G which requires of accuracy in performance and reduction in losses. Therefore, new models should be proposed to predict path loss propagation with high accuracy and less complexity. In this paper, a path loss model was designed and implemented using artificial intelligence and machine learning techniques, which training and testing on a real database created based on maximum measured distance and received power from the base station in a GSM system operating in 900 MHz band, in a rural environment, Misurata, Libya. Traditional methods like the "simple path loss model" performed poorly, with an average error of 5.87. In contrast, modern models based on artificial intelligence (AI) like GRNN, Fitnet, and Feedforward Net achieved significantly lower errors, ranging from 0.26 to 1.35. Furthermore, the AI models showed a strong correlation between the predicted and actual signal strengths (correlation coefficient R reaching 0.9962 for Fitnet and 0.99399 for Feedforward Net). This indicates highly specific and reliable predictions. Keywords: wireless communications, propagation loss prediction, ANN, machine learning, GRNN, urban area
{"title":"بناء نموذج فقد المسار للاتصالات اللاسلكية في المناطق القروية بمدينة مصراتة في ليبيا باستخدام تقنيات تعلم الآلة","authors":"علي عبدالحفيظ الروياتي, محمد محمود الشوماني, عبد القادر محمد الروياتي","doi":"10.62341/ammr2324","DOIUrl":"https://doi.org/10.62341/ammr2324","url":null,"abstract":"Path loss prediction is of great importance in studies of designing, developing, and improving the performance of wireless networks and mobile communication systems of the 5G which requires of accuracy in performance and reduction in losses. Therefore, new models should be proposed to predict path loss propagation with high accuracy and less complexity. In this paper, a path loss model was designed and implemented using artificial intelligence and machine learning techniques, which training and testing on a real database created based on maximum measured distance and received power from the base station in a GSM system operating in 900 MHz band, in a rural environment, Misurata, Libya. Traditional methods like the \"simple path loss model\" performed poorly, with an average error of 5.87. In contrast, modern models based on artificial intelligence (AI) like GRNN, Fitnet, and Feedforward Net achieved significantly lower errors, ranging from 0.26 to 1.35. Furthermore, the AI models showed a strong correlation between the predicted and actual signal strengths (correlation coefficient R reaching 0.9962 for Fitnet and 0.99399 for Feedforward Net). This indicates highly specific and reliable predictions. Keywords: wireless communications, propagation loss prediction, ANN, machine learning, GRNN, urban area","PeriodicalId":518123,"journal":{"name":"International Science and Technology Journal","volume":"48 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
إسماعيل محمد الهمالي, عادل عمر أبودبوس, حنان حسين شتيوي, لطفية عبد اللطيف السويحلي, ندى أبوبكر الأجنف, فاطمة محمد الشويهدي
The role of skin in fish is important providing mutli-physiological functions to fishes in surrounding environmental. In this study used rotary microtome, routine procedures of tissues preparation were followed and paraffin blocks were cut at 4µm, stained with Hematoxylin and eosin (H&E) and microscope with digital camera to studdy skin of Mullatus barbatus and Scomperscombrus.The currently study showed that, skin is composed of three tissue layers; epidermis, dermis and subcutis. Histological and morphometric studies revealed the epidermis and dermis of S. scombrus were 71.21±5.21 µm, 171.33±10.21 μm in thickness compare with M. barbatus which were 6.85±0.05 μm, 92.51±7.11 μm respectively. While the thickness of the subcutes layer in M. barbatus (501.65±27.81 μm) compared with S. scombrus (174.02±15.34 μm). Furthermore, A spread of electroreceptor in skin of M. barbatusw as observed, in addition to the presence of scale pockets in the dermis of the skin of S. scombrus. The structural variations of skin of fishes may reflect the various environmental difficulties that they confront. Histological study of fish skin contributes to understanding adaptations to life in the surrounding aquatic environment Keywords: Fishes, Skin, Epidermis, Dermis, Subcutes.
{"title":"دراسة مقارنة لجلد نوعين من أسماك التريليا والكوالي المصطادة من ساحل مدينة مصراته، ليبيا","authors":"إسماعيل محمد الهمالي, عادل عمر أبودبوس, حنان حسين شتيوي, لطفية عبد اللطيف السويحلي, ندى أبوبكر الأجنف, فاطمة محمد الشويهدي","doi":"10.62341/cmsl2421","DOIUrl":"https://doi.org/10.62341/cmsl2421","url":null,"abstract":"The role of skin in fish is important providing mutli-physiological functions to fishes in surrounding environmental. In this study used rotary microtome, routine procedures of tissues preparation were followed and paraffin blocks were cut at 4µm, stained with Hematoxylin and eosin (H&E) and microscope with digital camera to studdy skin of Mullatus barbatus and Scomperscombrus.The currently study showed that, skin is composed of three tissue layers; epidermis, dermis and subcutis. Histological and morphometric studies revealed the epidermis and dermis of S. scombrus were 71.21±5.21 µm, 171.33±10.21 μm in thickness compare with M. barbatus which were 6.85±0.05 μm, 92.51±7.11 μm respectively. While the thickness of the subcutes layer in M. barbatus (501.65±27.81 μm) compared with S. scombrus (174.02±15.34 μm). Furthermore, A spread of electroreceptor in skin of M. barbatusw as observed, in addition to the presence of scale pockets in the dermis of the skin of S. scombrus. The structural variations of skin of fishes may reflect the various environmental difficulties that they confront. Histological study of fish skin contributes to understanding adaptations to life in the surrounding aquatic environment Keywords: Fishes, Skin, Epidermis, Dermis, Subcutes.","PeriodicalId":518123,"journal":{"name":"International Science and Technology Journal","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：