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| 1 | A Psychological Study of the Inverse Relationship Between Perceived Risk and Perceived Benefit显示文摘 | Alhakami A S Slovic P | 1994 | Risk Analysis1994，14，6： | 1 |
| 2 | Psychological Study of the Inverse Relationship Between Perceived Risk and Perceived Benefit显示文摘 | ALHAKAMI A SLOVIC P A | 1994 | Risk Analysis1994，14，6： | 1 |
| 3 | A psychological study of the inverse relationship between perceived risk and perceived beneit显示文摘 | Alhakami A S Slovic P | 1994 | Risk Analysis1994，14，： | 1 |
| 4 | Noncovalent-ly associated cell-penetrating peptides for gene delivery appli-cations显示文摘 | Alhakamy N A Nigatu A S Berkland C J | | 0，，06： | 1 |
| 5 | The affect heuristic in judgments of risks and benefits显示文摘 | Melissa L Finucane Ali Alhakami Paul Slovic | 2000 | Journalof Behavioral Decision Making2000，13，1： | 1 |
| 6 | The affect heuristic in iudgments of risks and benefits显示文摘 | Finucane M L Alhakami A Slovic P | 2000 | Journal of Behavioral Decision Making2000，13，1： | 1 |
| 7 | A psychological study of the inverse relationship between perceived risk and per- ceived benefit 显示文摘 | Alhakami A S Slovic P | 1994 | Risk Analysis1994，，14： | 1 |
| 8 | A psychological study of the inverse relationship between perceived risk and perceived benefit 显示文摘 | Alhakami A S Slovic P | 1994 | Risk Analysis1994，，14： | 1 |
| 9 | A psychological study of the inverse relationship between perceived risk and perceived benefit显示文摘 | ALHAKAMI A S SLOVIC P | 1994 | Risk Analysis1994，，14： | 1 |
| 10 | The affect heuristic in judgments of risks and benefits 显示文摘 | Melissa L Finucane Ali Alhakami | 2000 | Journal of Behavioral Decision Making2000，，13： | 1 |
| 11 | The affect heuristic in judgments of risks and benefits显示文摘 | Finucane M Alhakami A Slovic P &Johnson S M | 2000 | Journal of Behavioral Decision Making2000，，13： | 1 |
| 12 | A psychological study of the inverse relation between perceived risk and perceived benefit 显示文摘 | Alhakami A S Slovic P | 1994 | Risk Analysis1994，14，6： | 1 |
| 13 | Blockchain and Artificial Intelligence Applications to Defeat COVID-19 Pandemic显示文摘The rapid emergence of novel virus named SARS-CoV2 and unchecked dissemination of this virus around the world ever since its outbreak in 2020,provide critical research criteria to assess the vulnerabilities of our current health system.The paper addresses our preparedness for the management of such acute health emergencies and the need to enhance awareness,about public health and healthcare mechanisms.In view of this unprecedented health crisis,distributed ledger and AI technology can be seen as one of the promising alternatives for fighting against such epidemics at the early stages,and with the higher efficacy.At the implementation level,blockchain integration,early detection and avoidance of an outbreak,identity protection and safety,and a secure drug supply chain can be realized.At the opposite end of the continuum,artificial intelligence methods are used to detect corona effects until they become too serious,avoiding costly drug processing.The paper explores the application of blockchain and artificial intelligence in order to fight with COVID-19 epidemic scenarios.This paper analyzes all possible newly emerging cases that are employing these two technologies for combating a pandemic like COVID-19 along with major challenges which cover all technological and motivational factors.This paper has also discusses the potential challenges and whether further production is required to establish a health monitoring system. | Mohammed Baz Sabita Khatri Abdullah Baz Hosam Alhakami Alka Agrawal Raees Ahmad Khan | 2022 | Computer Systems Science & Engineering2022，40，2： | 1 |
| 14 | The affect heuristic in judgments of risks and benefits 显示文摘 | Finucane M L Alhakami A Slovic P | 2000 | Journal of Behavioral Decision Making2000，13，1： | 1 |
| 15 | The Affect Heuristic in Judgments of Risks and Benefits 显示文摘 | FINUCANE M L ALHAKAMI A SLOVIC P | 2000 | Journal of Behavioral Decision Making2000，13，1： | 1 |
| 16 | A Framework for Securing Saudi Arabian Hospital Industry: Vision-2030 Perspective显示文摘Recent transformation of Saudi Arabian healthcare sector into a reven-ue producing one has signaled several advancements in healthcare in the country.Transforming healthcare management into Smart hospital systems is one of them.Secure hospital management systems which are breach-proof only can be termed as effective smart hospital systems.Given the perspective of Saudi Vision-2030,many practitioners are trying to achieve a cost-effective hospital management sys-tem by using smart ideas.In this row,the proposed framework posits the main objectives for creating smart hospital management systems that can only be acknowledged by managing the security of healthcare data and medical practices.Further,the proposed framework will also be helpful in gaining satisfactory rev-enue from the healthcare sector by reducing the cost and time involved in mana-ging the smart hospital system.The framework is based on a hybrid approach of three key methods which include:employing the Internet of Medical Things(IoMT)and blockchain methodologies for maintaining the security and privacy of healthcare data and medical practices,and using big data analytics methodol-ogy for raising the funds and revenue by managing the bulk volume of healthcare data.Moreover,the framework will also be helpful for both the patients and the doctors,thus enabling the Kingdom of Saudi Arabia(KSA)to meet its goals of Vision-2030 by ensuring low cost,yet credible,healthcare services. | Hosam Alhakami Abdullah Baz Mohammad Al-shareef Rajeev Kumar Alka Agrawal Raees Ahmad Khan | 2023 | Intelligent Automation & Soft Computing2023，，6： | 0 |
| 17 | Fuzzy Based Decision Making Approach for Evaluating the Severity of COVID-19 Pandemic in Cities of Kingdom of Saudi Arabia显示文摘The World Health Organization declared COVID-19 a pandemic on March 11,2020 stating that it is a worldwide danger and requires imminent preventive strategies to minimise the loss of lives.COVID-19 has now affected millions across 211 countries in the world and the numbers continue to rise.The information discharged by the WHO till June 15,2020 reports 8,063,990 cases of COVID-19.As the world thinks about the lethal malady for which there is yet no immunization or a predefined course of drug,the nations are relentlessly working at the most ideal preventive systems to contain the infection.The Kingdom of Saudi Arabia(KSA)is additionally combating with the COVID-19 danger as the cases announced till June 15,2020 reached the count of 132,048 with 1,011 deaths.According to the report released by the KSA on June 14,2020,more than 4,000 cases of COVID-19 pandemic had been registered in the country.Tending to the impending requirement for successful preventive instruments to stem the fatalities caused by the disease,our examination expects to assess the severity of COVID-19 pandemic in cities of KSA.In addition,computational model for evaluating the severity of COVID-19 with the perspective of social influence factor is necessary for controlling the disease.Furthermore,a quantitative evaluation of severity associated with specific regions and cities of KSA would be a more effective reference for the healthcare sector in Saudi Arabia.Further,this paper has taken the Fuzzy Analytic Hierarchy Process(AHP)technique for quantitatively assessing the severity of COVID-19 pandemic in cities of KSA.The discoveries and the proposed structure would be a practical,expeditious and exceptionally precise evaluation system for assessing the severity of the pandemic in the cities of KSA.Hence these urban zones clearly emerge as the COVID-19 hotspots.The cities require suggestive measures of health organizations that must be introduced on a war footing basis to counter the pandemic.The analysis tabulated in our study will assist in mapping the rules and building a systematic structure that is immediate need in the cities with high severity levels due to the pandemic. | Abdullah Baz Hosam Alhakami | 2021 | Computers, Materials & Continua2021，，2： | 0 |
| 18 | A Usability Management Framework for Securing Healthcare Information System显示文摘Transformation from conventional business management systems tosmart digital systems is a recurrent trend in the current era. This has led to digitalrevolution, and in this context, the hardwired technologies in the software industry play a significant role However, from the beginning, software security remainsa serious issue for all levels of stakeholders. Software vulnerabilities lead to intrusions that cause data breaches and result in disclosure of sensitive data, compromising the organizations’ reputation that translates into, financial losses andcompromising software usability as well. Most of the data breaches are financiallymotivated, especially in the healthcare sector. The cyber invaders continuouslypenetrate the E- Health data because of the high cost of the data on the darkweb. Therefore, security assessment of healthcare web-based applicationsdemands immediate intervention mechanisms to weed out the threats of cyberattacks for the sake of software usability. The proposed disclosure is a unique process of three phases that are combined by researchers in order to produce andmanage usability management framework for healthcare information system. Inthis most threatened time of digital era where, Healthcare data industry has bornethe brunt of the highest number of data breach episodes in the last few years. Thekey reason for this is attributed to the sensitivity of healthcare data and the highcosts entailed in trading the data over the dark web. Hence, usability managementof healthcare information systems is the need of hour as to identify the vulnerabilities and provide preventive measures as a shield against the breaches. The proposed unique developed model of usability management workflow is preparedby associating steps like learn;analyze and manage. All these steps gives an allin one package for the healthcare information management industry because thereis no systematic model available which associate identification to implementationsteps with different evaluation steps. | Hosam Alhakami Abdullah Baz Wajdi Alhakami Abhishek Kumar Pandey Alka Agrawal Raees Ahmad Khan | 2022 | Computer Systems Science & Engineering2022，42，9： | 0 |
| 19 | Enhancing IoT Security:Quantum-Level Resilience against Threats显示文摘The rapid growth of the Internet of Things(IoT)operations has necessitated the incorporation of quantum computing technologies tomeet its expanding needs.This integration ismotivated by the need to solve the specific issues provided by the expansion of IoT and the potential benefits that quantum computing can offer in this scenario.The combination of IoT and quantum computing creates new privacy and security problems.This study examines the critical need to prevent potential security concerns from quantum computing in IoT applications.We investigate the incorporation of quantum computing approaches within IoT security frameworks,with a focus on developing effective security mechanisms.Our research,which uses quantum algorithms and cryptographic protocols,provides a unique solution to protecting sensitive information and assuring the integrity of IoT systems.We rigorously analyze critical quantum computing security properties,building a hierarchical framework for systematic examination.We offer concrete solutions flexible to diverse aswell as ambiguous opinions through using a unified computational model with analytical hierarchy process(AHP)multi-criteria decision-making(MCDM)as the technique for ordering preferences by similarity to ideal solutions(TOPSIS)in a fuzzy environment.This study adds practical benefit by supporting practitioners in recognizing,choosing,and prioritizing essential security factors from the standpoint of quantum computing.Our approach is a critical step towards improving quantum-level security in IoT systems,strengthening their resilience against future threats,and preserving the IoT ecosystem’s long-term prosperity. | Hosam Alhakami | 2024 | Computers, Materials & Continua2024，78，1： | 0 |
| 20 | An Effective Secure MAC Protocol for Cognitive Radio Networks显示文摘The vast revolution in networking is increasing rapidly along with tech-nology advancements,which requires more effort from all cyberspace profes-sionals to cope with the challenges that come with advanced technology privileges and services.Hence,Cognitive Radio Network is one of the promising approaches that permit a dynamic type of smart network for improving the utili-zation of idle spectrum portions of wireless communications.However,it is vul-nerable to security threats and attacks and demands security mechanisms to preserve and protect the cognitive radio networks for ensuring a secure commu-nication environment.This paper presents an effective secure MAC protocol for cognitive radio networks,significantly enhancing the security level of the existing DSMCRN and SSMCRN protocols by eliminating the authentication server’s necessity,which can be a single point of failure to compromise the entire network communication.The proposed protocol has proven to be effective and reliable since it does not rely on a centralized entity for providing the required security for a single pair of cognitive users.The protocol also improves the performance in the context of fast switching to data channels leading to higher throughput is achieved compared to the benchmark protocols. | Bayan Al-Amri Gofran Sami Wajdi Alhakami | 2022 | Computer Systems Science & Engineering2022，42，7： | 0 |
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