• Title/Summary/Keyword: Madinah

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Cryptanalysis of a Self-Recovery Fragile Watermarking Scheme

  • Oussama Benrhouma;Rhouma Rhouma;Ahmad Taleb
    • International Journal of Computer Science & Network Security
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    • v.24 no.3
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    • pp.38-42
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    • 2024
  • In this paper, we analyze the security of a self-recovery fragile watermarking scheme proposed by C. Wang et al. An attack against C. Wang et al.'s scheme is demonstrated. The theoretical and experimental results show that the proposed scheme is not secure against attacks.

Histopathologic Characterization of Prostate Diseases in Madinah, Saudi Arabia

  • Albasri, Abdulkader;El-Siddig, Abeer;Hussainy, Akbar;Mahrous, Mervat;Alhosaini, Abdulaziz Abdullah;Alhujaily, Ahmed
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.10
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    • pp.4175-4179
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    • 2014
  • Aims: To delineate the histopathological pattern of prostate diseases and to highlight age variations in prostate specific antigen (PSA) values and histopathological features. Materials and Methods: A retrospective review was made of all prostate biopsy reports seen between January 2006 and December 2013 at the King Fahad Hospital, Madinah, Saudi Arabia. Prostate lesions were tabulated and classified into benign and malignant groups. Histological scoring of adenocarcinomas was accomplished using the Gleason system. PSA values were correlated with Gleason scores. Results: Of 417 prostate lesions reviewed, 343 (82.3%) were benign and 74 (17.7%) were malignant, giving a benign to malignant ratio of 4.6:1. Benign prostatic hyperplasia (both with and without inflammation) was the commonest prostatic lesion and accounted for 80.3% of all cases and 97.6% of all benign cases. The age range was 20 to 97 years with a mean of 69.2 years and a peak age group at 70-79 years. Seventy one cases of adenocarcinoma accounted for 95.9% of the total of 74 malignant tumors. It showed an age range of 44 to 95 years, a mean age of 70.9 years and peak prevalence in the 80-89 year age group. Gleason score seven was the most frequent (39.4%) in occurrence. Most adenocarcinomas, 41 cases (57.7%), were moderately differentiated (Gleason score of 5-7). PSA values ranged widely between 16-1,865ng/ml with a mean of 363.4ng/ml. Elevated PSA (>100ng/ml) levels were found in 53 (81.6%) patients. There was a statistically significant positive correlation between serum PSA level and Gleason score (p=0.0304). Conclusions: Prostatic lesions constitute a significant source of morbidity among adult males in Madinah. Benign prostatic hyperplasia was the commonest benign prostatic lesion and adenocarcinoma was the commonest histological subtype of prostatic cancer.

A Survey on 5G Enabled Multi-Access Edge Computing for Smart Cities: Issues and Future Prospects

  • Tufail, Ali;Namoun, Abdallah;Alrehaili, Ahmed;Ali, Arshad
    • International Journal of Computer Science & Network Security
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    • v.21 no.6
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    • pp.107-118
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    • 2021
  • The deployment of 5G is in full swing, with a significant yearly growth in the data traffic expected to reach 26% by the year and data consumption to reach 122 EB per month by 2022 [10]. In parallel, the idea of smart cities has been implemented by various governments and private organizations. One of the main objectives of 5G deployment is to help develop and realize smart cities. 5G can support the enhanced data delivery requirements and the mass connection requirements of a smart city environment. However, for specific high-demanding applications like tactile Internet, transportation, and augmented reality, the cloud-based 5G infrastructure cannot deliver the required quality of services. We suggest using multi-access edge computing (MEC) technology for smart cities' environments to provide the necessary support. In cloud computing, the dependency on a central server for computation and storage adds extra cost in terms of higher latency. We present a few scenarios to demonstrate how the MEC, with its distributed architecture and closer proximity to the end nodes can significantly improve the quality of services by reducing the latency. This paper has surveyed the existing work in MEC for 5G and highlights various challenges and opportunities. Moreover, we propose a unique framework based on the use of MEC for 5G in a smart city environment. This framework works at multiple levels, where each level has its own defined functionalities. The proposed framework uses the MEC and introduces edge-sub levels to keep the computing infrastructure much closer to the end nodes.

Multi-Obfuscation Approach for Preserving Privacy in Smart Transportation

  • Sami S. Albouq;Adnan Ani Sen;Nabile Almoshfi;Mohammad Bin Sedeq;Nour Bahbouth
    • International Journal of Computer Science & Network Security
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    • v.23 no.4
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    • pp.139-145
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    • 2023
  • These days, protecting location privacy has become essential and really challenging, especially protecting it from smart applications and services that rely on Location-Based Services (LBS). As the technology and the services that are based on it are developed, the capability and the experience of the attackers are increased. Therefore, the traditional protection ways cannot be enough and are unable to fully ensure and preserve privacy. Previously, a hybrid approach to privacy has been introduced. It used an obfuscation technique, called Double-Obfuscation Approach (DOA), to improve the privacy level. However, this approach has some weaknesses. The most important ones are the fog nodes that have been overloaded due to the number of communications. It is also unable to prevent the Tracking and Identification attacks in the Mix-Zone technique. For these reasons, this paper introduces a developed and enhanced approach, called Multi-Obfuscation Approach (MOA that mainly depends on the communication between neighboring fog nodes to overcome the drawbacks of the previous approach. As a result, this will increase the resistance to new kinds of attacks and enhance processing. Meanwhile, this approach will increase the level of the users' privacy and their locations protection. To do so, a big enough memory is needed on the users' sides, which already is available these days on their devices. The simulation and the comparison prove that the new approach (MOA) exceeds the DOA in many Standards for privacy protection approaches.

Impact of COVID-19 Pandemic on Graduates Seeking Jobs

  • El-Boghdadi, Hatem M.;Noor, Fazal;Mahmoud, Mostafa
    • International Journal of Computer Science & Network Security
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    • v.21 no.1
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    • pp.70-76
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    • 2021
  • The appearance of COVID-19 virus has affected many aspects of our life. These include and not limited to social, financial and economic changes. One of the most important impacts is the economic effects. Many countries have taken actions to continue the teaching process through online teaching platforms. The students are expected to graduate during the next few semesters with certificates that include some online-completed courses and their graduation certificates are called mixed certificates. This paper considers graduation mixed certificates with some online courses and its impact on graduates seeking jobs. First, we study how well the mixed certificates are accepted by job market. In other words, how different companies, organizations and even governmental entities would accept such certificates when hiring. We study the perception of job market for such certificates for different learning fields. Secondly, we study how well the online courses are accepted by the students keeping in mind that these students are used to traditional face to face teaching. Finally, we paper our results and recommendations according to the collected data from the surveys. Some of the results show that about 60% of companies don't have policies to encourage hiring graduates with mixed certificates. Also, colleges are almost divided evenly between preferring face to face and preferring online teaching.

A Remote Sensing Scene Classification Model Based on EfficientNetV2L Deep Neural Networks

  • Aljabri, Atif A.;Alshanqiti, Abdullah;Alkhodre, Ahmad B.;Alzahem, Ayyub;Hagag, Ahmed
    • International Journal of Computer Science & Network Security
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    • v.22 no.10
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    • pp.406-412
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    • 2022
  • Scene classification of very high-resolution (VHR) imagery can attribute semantics to land cover in a variety of domains. Real-world application requirements have not been addressed by conventional techniques for remote sensing image classification. Recent research has demonstrated that deep convolutional neural networks (CNNs) are effective at extracting features due to their strong feature extraction capabilities. In order to improve classification performance, these approaches rely primarily on semantic information. Since the abstract and global semantic information makes it difficult for the network to correctly classify scene images with similar structures and high interclass similarity, it achieves a low classification accuracy. We propose a VHR remote sensing image classification model that uses extracts the global feature from the original VHR image using an EfficientNet-V2L CNN pre-trained to detect similar classes. The image is then classified using a multilayer perceptron (MLP). This method was evaluated using two benchmark remote sensing datasets: the 21-class UC Merced, and the 38-class PatternNet. As compared to other state-of-the-art models, the proposed model significantly improves performance.

Protecting Privacy of User Data in Intelligent Transportation Systems

  • Yazed Alsaawy;Ahmad Alkhodre;Adnan Abi Sen
    • International Journal of Computer Science & Network Security
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    • v.23 no.5
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    • pp.163-171
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    • 2023
  • The intelligent transportation system has made a huge leap in the level of human services, which has had a positive impact on the quality of life of users. On the other hand, these services are becoming a new source of risk due to the use of data collected from vehicles, on which intelligent systems rely to create automatic contextual adaptation. Most of the popular privacy protection methods, such as Dummy and obfuscation, cannot be used with many services because of their impact on the accuracy of the service provided itself, they depend on changing the number of vehicles or their physical locations. This research presents a new approach based on the shuffling Nicknames of vehicles. It fully maintains the quality of the service and prevents tracking users permanently, penetrating their privacy, revealing their whereabouts, or discovering additional details about the nature of their behavior and movements. Our approach is based on creating a central Nicknames Pool in the cloud as well as distributed subpools in fog nodes to avoid intelligent delays and overloading of the central architecture. Finally, we will prove by simulation and discussion by examples the superiority of the proposed approach and its ability to adapt to new services and provide an effective level of protection. In the comparison, we will rely on the wellknown privacy criteria: Entropy, Ubiquity, and Performance.

Histopathological Profile of Benign Colorectal Diseases in Al-Madinah Region of Saudi Arabia

  • Albasri, Abdulkader Mohammed
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.18
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    • pp.7673-7677
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    • 2014
  • Background: Patients with long-standing inflammatory bowel disease (IBD) have an increased risk of developing colorectal cancer (CRC). Colon cancer risk in IBD increases with longer duration and greater anatomic extent of colitis, the presence of primary sclerosing cholangitis, family history of CRC and degree of inflammation of the bowel. This study aimed to characterize the histopathological pattern of benign colorectal diseases among Saudi patients and to highlight age and gender variations of lesions as base line data for future studies to investigate the link between benign/IBD and colorectal cancers in the local population. Materials and Methods: The materials consisted of 684 biopsies, reported as benign (excluding malignancies and polyps) at the Department of Pathology, King Fahad Hospital, Madinah, Saudi Arabia from January 2006 to December 2013. Data collected and entered in MS-Excel and were analyzed using SPSS-20. Results: Of 684 colorectal tissues reviewed, 408 specimens (59.6%) were from male patients and 276 specimens (40.4%) were from females giving a male: female ratio of 1.5:1. Age of the patients ranged from 4 to 75 years with a mean of 39.6 years. The most frequent histologic diagnosis was a chronic non specific proctocolitis followed by ulcerative colitis, accounting respectively for 52.6% and 31.7% of all cases. These were followed by Crohn's disease 22 (3.2%), ischemic bowel disease 20 (2.9%), diverticular disease 14 (2%), eosinophilic colitis 12 (1.7%) and solitary rectal ulcer 12 (1.7%). A minority of 21 patients (3.1%) were cases of acute nonspecific proctocolitis, schistosomiasis, tuberculosis, volvulus and pseudomembranous colitis. Conclusions: These data show that although chronic non specific proctocolitis and ulcerative colitis were the dominant diagnoses, Crohn's disease, ischemic bowel disease and diverticular disease also existed to a lesser extent and should be considered in the differential diagnosis of benign colorectal diseases. This study provides a base line data for future studies which would be taken up to investigate the link between benign/IBD and colorectal cancers in the local population.

Histopathological Features of Colorectal Cancer in Al-Madinah Region of Saudi Arabia: 8 Years Experience

  • Albasri, Abdulkader;Yosef, Hala;Hussainy, Akbar Shah;Sultan, Saud Ahmad;Alhujaily, Ahmed
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.7
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    • pp.3133-3137
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    • 2014
  • Background: To determine the histopathological pattern of colorectal cancer (CRC) among Saudi patients with a view to determine various epidemiological and histopathological features of the disease. Materials and Methods: We retrospectively collected and analyzed the demographic and histopathological data of all the patients with CRC diagnosed at King Fahad Hospital, Madinah, Saudi Arabia over a period of 8 years from January 2006 to December 2013. Results: Of 324 cases of CRC reviewed, 200 cases (61.7%) were males while 124 cases (38.3%) were females giving a male to female ratio of 1.6: 1. Age of the patients ranged from 20 to 100 years with a mean age 57.9 years. The rectosigmoid region was the most frequent anatomical site (13.6%) involved and adenocarcinoma (88.6%) was the most common histopathological type. The majority of adenocarcinomas (87.3%) were moderately differentiated. A total of 47.8% of patients were in stage B and 43.5% of patients were in stage C of the Aster-Coller classification. Most patients (75.7%) presented with large size tumors. Lymphovascular invasion and lymph node metastasis were recorded in 67.9% and 43.6% of cases, respectively. Conclusions: Colorectal cancer is common in our environment and the majority of patients present late with an advanced stage. Screening programs regarding CRC should be enhanced to improve the outcome of the patients.

Histopathological Patterns of Thyroid Disease in Al-Madinah Region of Saudi Arabia

  • Albasri, Abdulkader;Sawaf, Zeinab;Hussainy, Akbar Shah;Alhujaily, Ahmed
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.14
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    • pp.5565-5570
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    • 2014
  • Objectives: This study aimed to characterize the histopathological pattern of thyroid lesions among Saudi patients and to highlight the age and gender variations of these lesions as base line data. Materials and Methods: We retrospectively analyzed the data from thyroid specimens received at the Department of Pathology, King Fahad Hospital, Madinah, Saudi Arabia from January 2006 to December 2013. Results: The 292 thyroidectomy specimens received during the study period came from 230 (78.8%) females and 62 (21.2%) males giving a female: male ratio of 3.7:1. Age of the patients ranged from 14 to 95 years with a mean age 39.7 years. Two hundred and eleven (72.3%) cases were found to be non-neoplastic and 81 (27.7%) cases were neoplastic. The non-neoplastic group included: colloid goiter, including both diffuse and nodular goiter (170 cases; 58.2%), nodular hyperplasia (28 cases; 9.6%), Hashimoto/chronic lymphocytic thyroiditis (12 cases; 4.1%), and Grave's disease (1 case; 0.3%). In neoplastic lesions, there were 7 benign tumors and 74 malignant tumors. Among the benign tumors, 5 were follicular adenomas and 2 were Hurthle cell adenomas. Papillary carcinoma was the commonest malignant tumor accounting for 87.8% of all thyroid malignancies, followed by lymphoma, follicular carcinoma and medullary carcinoma. The size of papillary carcinoma was more than 2 cm in 40 cases (76.9%). Conclusions: Non-neoplastic thyroid lesions were more common than neoplastic ones. Colloid goiter was the most common lesion. Follicular adenoma was the commonest benign tumor and papillary carcinoma was the commonest malignant lesion. There appears to be a slightly increased trend of papillary carcinoma diagnosis, most being diagnosed at an advanced stage.