Technology advancements in Degree Authentication can reduce fake degrees by offering the security and reliability to authenticate credentials. It will also increase the security of educational institutions by limiting their exposure to cyber-attacks.
This paper proposes a novel architecture for degree attestation using blockchain technology. It is a permission-based distributed application that makes use of the hyperledger fabric to verify the architectural structure, hash-based encryption, data blocks and transactions on private networks.
Fake Degree Certificates
Fake degree certificates have grown into a billion-dollar industry. Higher education officials must be aware of this issue, as it could influence recruitment and impact reputation.
Diploma mills are scammers that give fake certificates for a fee. These businesses are difficult to police, and their products seem to be insatiable.
One of the reasons for the rise of fake university degrees is the high cost of authentic degrees. A typical US undergraduate degree is about $30,000. Many students have to borrow the funds. Fake credentials can be a great alternative.
Another reason is that they are simple to make. They are often authentic and contain official elements like seals of institutions and signatures of registry officers. They’re made to appear like authentic degrees which means they are easily mistaken as authentic. They could be used substitute for a real degree, or be given to a prospective employer to get a job.
Blockchain for Degree Verification
The higher education system in Pakistan faces many challenges. The HEC and a number of universities have inefficient record systems, making it difficult to validate academic qualifications. Furthermore, there are fake degrees and forged certificates. In the end, students are not getting jobs or finding the best jobs.
The blockchain technology can be used to increase the degree verification process and attestation. This technology allows universities to share verified information with employers and recruiters and check here https://lambang-toanquoc.com/. It is also a more secure and transparent option to traditional paper-based certification systems. This technology offers more flexibility to universities and HEC.
Blockchains that are open source are ledgers with digital technology that store and verify data. The blockchain uses cryptography to block any alteration or forgery and ensure data integrity. It is also able to track the source of a document or data record. It could increase transparency and security in the global education system. The proposed HEDU-ledger framework is a hyperledger fabric enabled solution that enables users to gain get access to and retrieval of degree attestation verification, and tracking related data records within a peer-to-peer private permissioned network.
Digital Credentialing Systems
Paper certificates are being replaced by more secure and flexible alternatives as the world moves toward digitalization. Verifiable credentials like digital badges micro-credentials, degrees, and blockchain-based credentials are changing how people show their capabilities and accomplishments.
The online versions of academic credentials are simple to verify and provide a wealth of advantages for both issuers as well as recipients. They encourage the pursuit of lifelong learning and development by enabling individuals to showcase their range of skills throughout their professional career. Through allowing employers to showcase the skills of employees They encourage collaboration and sharing of knowledge.
Employers, educational institutions and other stakeholders can confirm digital credentials online in only one click. This makes them easier to use and reduces costs for both issuers and users as they don’t need to ask for copies to be delivered via post. Furthermore, digital certificates are less susceptible to being damaged or lost. Digital credentials are easy to modify, even for minor adjustments like mistakes in spelling or design changes.
AI and Machine Learning for Degree Authentication
Multi-factor authentication can be improved by using machine learning and artificial intelligence. They are able to detect and verify fakes documents and provide an effortless user experience. Predictive analytics can be utilized to detect and prevent fraud.
For instance, ML algorithms can perform patterns recognition and time-series analysis to identify suspicious behaviour such as the reuse of passwords, which is a common method of hacking. They are also able to identify risk factors, and check data against watchlists or databases that contain compromised credentials. This can notify businesses in real time to threats that are emerging.
To prevent such attacks, it’s necessary to implement strict security measures and the education of users. Regulation frameworks are needed to establish guidelines and standards for data practices. Additionally, it is crucial to take into account ethical considerations when developing AI-based identity verification systems, including transparency, fairness, and accountability. This means avoiding bias in algorithms and ensuring that privacy rights are secured. GlobalSign is a provider of digital identity security that has been specialized in this area. Our team is able to help defend your company from cyberattacks by using these techniques.
Biometric authentication for academic Credentials
As the world of education is becoming more digital, it’s important to implement technology that can protect against identity theft and fraud. Biometrics can assist in solving these problems by confirming the identity of employees and students by preventing fraudulent access to critical data.
Biometrics, in contrast to traditional ID cards are based upon distinct physical or behavioral traits that cannot be copied or snatched. They are a reliable security tool to protect against account takeover attacks as well as other cyberattacks.
Biometrics can be useful for detecting spoofing. These systems can block the phishing attack and other forms of spoofing by using liveness recognition to separate real biometric features from fake ones (such as pictures or a mask).
Combining two attributes like voice and face can also increase the security of biometrics. This can improve the accuracy and reliability. Multimodality will reduce the chances of unauthorized access. By incorporating multimodal biometrics into common devices and systems, people can enjoy an effortless and enjoyable user experience. It will also increase the level of trust and accountability while protecting sensitive data from hackers.