Titlebook: Advances in Security, Networks, and Internet of Things; Proceedings from SAM Kevin Daimi,Hamid R. Arabnia,Fernando G. Tinetti Conference pr

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Statistical Analysis of Prime Number Generators Putting Encryption at Riskg several primes. Furthermore, the generated primes seem to be generated within a certain undocumented upper and lower boundary, which further reduces randomness. Cryptographic methods, such as RSA, rely on random primes which are now jeopardized in a different way.

出汗

Secure Authentication Protocol for Drones in LTE Networksa protocol for the drone authentication in LTE that would improve the security of drones, especially related to location privacy. Finally, we formally specify the proposed authentication protocol and verify that the proposed protocol satisfies the security properties by using the protocol verification tool Scyther.

憤慨一下

Memorable Password Generation with AES in ECB Mode generator function. The application will also be able to decrypt the AES-128 encrypted message and transform it back into normal text. This experiment suggests that the proposed model is a block cipher that can successfully generate a memorable random password.

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期滿(mǎn)

Phishing Detection using Deep Learning that used a single feature to train. We compared how effective each feature was in detecting phishing URLs. Groups of features were also used to train models. Most models using only one feature yielded low accuracies, while models using more features showed better accuracies.

誰(shuí)在削木頭

Enhancing Data Security in the User Layer of Mobile Cloud Computing Environment: A Novel Approachlicious activities at the UL in the MCC environment. Preliminary investigations show that our approach will enhance the security of the UL in the MCC environment. Our future work will include the development and the evaluation of the proposed model across the various mobile platforms in the MCC environment.

前兆

CRAB

An Effective Tool for Assessing the Composite Vulnerability of Multifactor Authentication Technologie the composite vulnerability impact of authentication factor multiplicity. This chapter has presented a novel mathematical approach and demonstrated the approach through a real-world application which is a comparative study on the composite vulnerability of two different multifactor authentication technologies.

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