Hybrid Encryption of ElGamal-AES with Huffman Coding for Efficient Data Communication

Abdullahi Yahaya Yusuf,Farouk Lawan Gambo,Hyeju Shin,Abubakar Muhamad Miyim 한국디지털콘텐츠학회 2023 The Journal of Contents Computing Vol.5 No.2

Information security or data transmission efficiency and reliability are unanimously considered as some of the most important things that are required whenever communication between parties is to be established. Inefficient data security and improper management of voluminous data during data communication increases data transmission cost, delay in data transmission, and risk of confidentiality and privacy to the transmitted data. Thus, this paper proposes an improved cryptosystem to ensure reliability and efficiency to data in communication channel. The work adopted two cryptographic methods (ElGamal cryptosystem) for the asymmetric key distribution; Advanced Encryption Standard (AES) was suggested for message encryption. In the other hand, Huffman coding (compression algorithm) was introduced along the way to reduce the size of the data to be transmitted. The results of our proposed scheme show that the entropy ensures reliability and encryption time ensures efficiency to data in communication channel. This hybrid scheme is promising with a potential of improving data security.

Optimization of Power Output Forecasting from Solar PV System using Deep Learning Methods

Yahaya Abdullahi,Bowoo Kim,Dongjun Suh 한국통신학회 2023 한국통신학회 학술대회논문집 Vol.2023 No.2

Dynamic Energy Consumption Forecasting: Exploring the Performance of Machine Learning Algorithms in Dynamic Environment

Yahaya Abdullahi,Bowoo Kim(김보우),Dongjun Suh(서동준) 한국통신학회 2024 한국통신학회 학술대회논문집 Vol.2024 No.1

On Multi Query Optimization Algorithms Problem

Muhammad, L. J.,Yahaya Bala Zakariyau,Abdullahi Garba Ali,Abba Garba 보안공학연구지원센터 2014 International Journal of Database Theory and Appli Vol.7 No.6

Without multi query optimization, Relational Database Management System for online and analytical decision support systems would have been inefficient and hence unpractical. It is an expensive process because it relies at a great extent on evaluating the different plans (access paths) and choosing an optimal one among them. In Multi Query Optimization, queries are executed in batches and there were many different algorithms acted in such way that, in case some queries have a common sub-expression such a sub- expression is executed once and the output shared. We studied the basic multi query optimization algorithms including Basic Volcano, Volcano-SH and Volcano RU, identified their strengths and weaknesses and recommend strategies for developing new improved multi query optimization algorithm so as to reduce weaknesses and integrate strengths of the different basic multi query algorithms into one efficient algorithm.

Assessment of the cytotoxic and mutagenic potential of dichlorvos (DDVP) using in silico classification model; a health hazard awareness in Nigeria

Yahaya Abdulwahid Abaukaka,Salihu Sanusi,Kabir Abdullahi Ozigi,Fatima Umar Malo 환경독성보건학회 2020 환경독성보건학회지 Vol.35 No.3

Dichlorvos (DDVP) has been abused in Nigeria for suicide attempts, topical applications to treat an ectoparasitic infestation, and indiscriminate use on farm produce. Exposure to this compound in subacute concentration can cause toxicity in different tissues by alteration of the cellular antioxidative defence mechanism. This analysis is aimed at the systematic profiling of DDVP to assess its cytotoxic and mutagenic potential for human vulnerability using an in silico classification model. DDVP was grouped into categories of analogue chemical compounds generated from inventories based on structural alerts that measure the biological effects on cell lines and animal models using the quantitative structure-activity relationship (QSAR) model. The cytotoxic and mutagenic potential of DDVP was assessed by analyzing target endpoints like skin sensitization, oral/inhalation toxicity, neurotoxicity and mutagenicity. DDVP shows moderate sensitization potential that can induce skin irritation during prolonged exposure because of the presence of dichlorovenyl side-chain that interacts with cellular proteins and causes degradation. 50% lethal dose (LD<SUB>50</SUB>) of DDVP per body weight was determined to be 26.2 mg/kg in a rat model at 95% confidence range for acute oral toxicity, and 14.4 mmol/L was estimated as 50% lethal concentration (LC<SUB>50</SUB>) in the atmosphere due to acute inhalation toxicity. DDVP can also inhibit acetylcholinesterase in the nervous system to produce nicotinic and muscarinic symptoms like nausea, vomiting, lacrimation, salivation, bradycardia, and respiratory failure may cause death. The widely used pesticide causes weak DNA methylation which can repress gene transcription on promoter sites. DDVP is volatile so it can cause oral and inhalation toxicity coupled with neurotoxicity during prolonged exposure. Serum cholinesterase blood tests should be encouraged in federal and state hospitals to investigate related health challenges as DDVP is still used in Nigeria.

Efficient Algorithm for Multi Query Optimization

L. J. Muhammad,Yahaya Bala Zakariyau,Abdullahi Garba Ali 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.6

Multi Query Optimization is an important process in database and it becomes the commonplace due to the frequent usage of decision support systems in almost all the multinational enterprises. The multiple queries from different users that have been addressed to one schema often have a lot of common sub-expressions and it is the function of the multi query optimization algorithms such as Basic Volcano, Volcano RU and Volcano SH algorithms to optimize such multiple queries together and executes the common operation once and share the output among the queries. In this work, a multi query shareability algorithm which can efficiently detect the common sub- expressions among the multiple queries and share the output among those queries was proposed and algorithm for optimal order of those queries was also proposed. The Algorithm has a time complexity of O(n2 + 9n +6) while the most recent basic algorithm thus Volcano RU Algorithm has O(2n2 +20n +12), both the algorithms have O(n2) time complexity which is quadratic in nature. However, the Proposed Algorithm is more efficient and better than Volcano RU algorithm even if n approach to infinity.

Multi Query Optimization Algorithm Using Semantic and Heuristic Approaches

L. J. Muhammad,Abdullahi Garba Ali,Yahaya Bala Zakariyau,Ibrahim A. Mohammed 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.6

Multi Query Optimization is one of the most important tasks in Relational Database Management System (RBMS) and it becomes common due to high usage of online decision support management systems in every industry nowadays. In multi query optimization, queries are optimized and executed in batches. However, there are many algorithms use to detect and unified common sub-expressions among multiple queries and unified them so that the more encompassing sub- expression is executed and the other sub-expressions are derived from. In this work, multi-query optimization algorithm using heuristics and semantic approaches was proposed and encoded on SQL Server version 10.0.1600 and three queries were used for the experiment between the proposed algorithm and most recent basic Multi Query Optimization Algorithm (Volcano RU). The result of experiment showed that, Proposed Algorithm gave the best plans compared Volcano RU Algorithm, across all three queries and was best for all queries in terms of execution time and CPU time.

Dengue Virus is Hyperendemic in Nigeria from 2009 to 2020: A Contemporary Systematic Review

Anthony Uchenna Emeribe,Idris Nasir Abdullahi,Idongesit Kokoabasi Isong,Anthony Ogbonna Emeribe,Justin Onyebuchi Nwofe,Buhari Isa Shuaib,Abubakar Muhammad Gwarzo,Yahaya Usman,Madjid Sadi,Chikodi Modes 대한감염학회 2021 Infection and Chemotherapy Vol.53 No.2

Backround: Data on Dengue virus (DENV) infection prevalence, geographic distribution and risk factors are necessary to direct appropriate utilization of existing and emerging control strategies. This study aimed to determine the pooled prevalence, risk factors of DENV infection and the circulating serotypes within Nigeria from January 1, 2009 to December 31, 2020. Materials and methods: Twenty-one studies out of 2,215 available articles were eligible and included for this systematic review. Relevant articles were searched, screened and included in this study according to the Preferred Reporting Items for Systematic reviews and MetaAnalyses (PRISMA) criteria. The risk of bias in primary studies was assessed by Cochrane's method. Heterogeneity of pooled prevalence was calculated using the chi-square test on Cochrane's Q statistic, which was quantified by I-square values. The random-effects analyses of proportions were used to determine the pooled prevalence of DENV antibodies, antigen and RNA from eligible studies. Results: Of these, 3 studies reported co-circulation of all the 4 serotypes, while 2 separately reported co-circulation of DENV-1 &2 and DENV-1 to -3. All the antibody-based studies had significantly high heterogeneity (I2 >90%, P <0.05), while the NS1 and PCR-based studies had low heterogeneity (I2 <25%, P >0.05). The pooled prevalence of DENV IgM, IgG, RNA, NS1 and neutralizing antibodies were 16.8%, 34.7%, 7.7%, 7.7% and 0.7%, respectively. Southeast Nigeria had the highest pooled DENV-IgG seropositivity, 77.1%. Marital status, gender, educational level and occupation status, the proximity of residence to refuse dumpsite, frequent use of trousers and long sleeve shirts were significantly associated with DENV IgG seropositivity (P <0.05). Conclusion: Based on these findings, it can be inferred that Nigeria is hyperendemic for Dengue fever and needs concerted efforts to control its spread within and outside the country.

An analysis of dietary fiber and fecal fiber components including pH in rural Africans with colorectal cancer

Mohammed Faruk,Sani Ibrahim,Ahmed Adamu,Abdulmumini Hassan Rafindadi,Yahaya Ukwenya,Yawale Iliyasu,Abdullahi Adamu,Surajo Mohammed Aminu,Mohammed Sani Shehu,Danladi Amodu Ameh,Abdullahi Mohammed,Saad 대한장연구학회 2018 Intestinal Research Vol.16 No.1

Background/Aims: Colorectal cancer (CRC) is now a major public health problem with heavy morbidity and mortality in rural Africans despite the lingering dietary fiber-rich foodstuffs consumption. Studies have shown that increased intake of dietary fiber which contribute to low fecal pH and also influences the activity of intestinal microbiota, is associated with a lowered risk for CRC. However, whether or not the apparent high dietary fiber consumption by Africans do not longer protects against CRC risk is unknown. This study evaluated dietary fiber intake, fecal fiber components and pH levels in CRC patients. Methods: Thirty-five subjects (CRC=21, control=14), mean age 45 years were recruited for the study. A truncated food frequency questionnaire and modified Goering and Van Soest procedures were used. Results: We found that all subjects consumed variety of dietary fiber-rich foodstuffs. There is slight preponderance in consumption of dietary fiber by the control group than the CRC patients. We also found a significant difference in the mean fecal neutral detergent fiber, acid detergent fiber, hemicellulose, cellulose and lignin contents from the CRC patients compared to the controls (P <0.05). The CRC patients had significantly more fecal pH level than the matched apparently healthy controls (P =0.017). Conclusions: The identified differences in the fecal fiber components and stool pH levels between the 2 groups may relate to CRC incidence and mortality in rural Africans. There is crucial need for more hypothesis-driven research with adequate funding on the cumulative preventive role of dietary fiber-rich foodstuffs against colorectal cancer in rural Africans “today.” (Intest Res 2018;16:99-108)