A Secure Architecture to Protect the Network from Replay Attacks during Client-to-Client Data Transmission

Nadeem, Muhammad; Ali, Arshad; Riaz, Saman; Zahra, Syeda Wajiha; Dutta, Ashit Kumar; Almotairi, Sultan

doi:10.3390/app12168143

Cited by 5 publications

(3 citation statements)

References 17 publications

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“…Multiple algorithms and methods [32] have been devised to protect cloud data against replay attacks. However, it is essential to note that cloud data are still vulnerable to such assaults.…”

Section: Related Workmentioning

confidence: 99%

Emergence of Novel WEDEx-Kerberotic Cryptographic Framework to Strengthen the Cloud Data Security against Malicious Attacks

Zahra,

Nadeem,

Arshad

et al. 2024

Symmetry

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Researchers have created cryptography algorithms that encrypt data using a public or private key to secure it from intruders. It is insufficient to protect the data by using such a key. No research article has identified an algorithm capable of protecting both the data and the associated key, nor has any mechanism been developed to determine whether access to the data is permissible or impermissible based on the authentication of the key. This paper presents a WEDEx-Kerberotic Framework for data protection, in which a user-defined key is firstly converted to a cipher key using the “Secure Words on Joining Key (SWJK)” algorithm. Subsequently, a WEDEx-Kerberotic encryption mechanism is created to protect the data by encrypting it with the cipher key. The first reason for making the WEDEx-Kerberotic Framework is to convert the user-defined key into a key that has nothing to do with the original key, and the length of the cipher key is much shorter than the original key. The second reason is that each ciphertext and key value are interlinked. When an intruder utilizes the snatching mechanism to obtain data, the attacker obtains data or a key unrelated to the original data. No matter how efficient the algorithm is, an attacker cannot access the data when these methods and algorithms are used to protect it. Finally, the proposed algorithm is compared to the previous approaches to determine the uniqueness of the algorithm and assess its superiority to the previous algorithms.

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Section: Related Workmentioning

confidence: 99%

Emergence of Novel WEDEx-Kerberotic Cryptographic Framework to Strengthen the Cloud Data Security against Malicious Attacks

Zahra,

Nadeem,

Arshad

et al. 2024

Symmetry

Self Cite

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show abstract

“…The system reduces the complexity and running time but it failed to consider the big data applications. An efficient cryptosystem was introduced in reference 4 for protecting the data from replay attacks. Security was improved.…”

Section: Introductionmentioning

confidence: 99%

Advanced set containment deep learned Rabin certificateless signcryption for secured transmission with big data in cloud

Sakthivel,

Madhubala

2023

Concurrency and Computation

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SummaryCloud computing is distributed type of technology to offers distant services by the internet to manage, access, and store data on their server. The cloud server manages and distributes large amounts of data. During large amounts of complex structured and unstructured data transactions, in order to protect the data and cloud resources from harmful activities by using the main task of the security system. Therefore, a novel intrusion detection system is required in cloud networks to detect malicious activity and improve secure data transmission. In this paper, a novel technique called advanced set containment deep learned Rabin certificateless signcryption (ADRES) technique is employed to secure data transmission for achieving better confidentiality, and integrity, in cloud computing. The ADRES technique includes three major phases namely Registration and key generation, signcryption, and unsigncryption. At the first phase, the user registers details to the cloud server using secure transmission in big data analytics. The cloud server generates the private and public keys for each registered user. In the second phase, the signcryption process is determined by cloud user that encrypts and generates the signature by using the Rabin cryptosystem. Then encrypted data is stored in a cloud server with minimum space complexity. Finally, the unsigncryption is performed by using signature verification and decryption. First, the signature verification is performed by applying an Advanced set containment Deep belief neural network for identifying the authorized or unauthorized user (i.e., attacker). The authorized user decrypts data using the Rabin cryptosystem to achieve the original data. Thus, secure data transmission is obtained through improved data confidentiality and integrity. Simulation of the proposed ADRES technique is performed with respect to data confidentiality level, data integrity rate, and computation time, space complexity with several numbers of data. Experimental results reported ADRES obtains the improved data transmission security with better confidentiality rate by 7%, integrity by 7%, and lesser time 16% and space complexity by 18% than the conventional methods.

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“…Accurate identification of attack types is crucial to system security. At present, denial of service attacks (DOSA), 9‐11 replay attacks, 12‐14 eavesdropping attacks, 15‐17 and FDIA (false data injection attacks) 18‐20 are the main types of common network attacks. DOSA is a depleting attack on the resources of the attacked object, which interrupts the normal communication of the system.…”

Section: Introductionmentioning

confidence: 99%

Nussbaum gain adaptive control for full‐state constrained cyber‐physical system under network attacks and actuator failures

Miao,

Li,

Liu

2023

Intl J Robust & Nonlinear

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In this article, an adaptive security control scheme is proposed for a class of nonlinear time‐varying full‐state constrained cyber‐physical system with false data injection attacks and actuator failures. Aiming at the problem of sensor network attack, the influence of sensor network attack is reduced by backstepping technique and Nussbaum function. In the control design process, the time‐varying barrier Lyapunov function is used to constrain the system states. In addition, adaptive laws are designed to eliminate the influence of actuator faults (effectiveness loss and bias fault). And the developed controller ensures that the state constraints will not be violated when sensor attacks and actuator faults occur simultaneously. Finally, the simulation result verify the effectiveness of the scheme.

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A Secure Architecture to Protect the Network from Replay Attacks during Client-to-Client Data Transmission

Cited by 5 publications

References 17 publications

Emergence of Novel WEDEx-Kerberotic Cryptographic Framework to Strengthen the Cloud Data Security against Malicious Attacks

Emergence of Novel WEDEx-Kerberotic Cryptographic Framework to Strengthen the Cloud Data Security against Malicious Attacks

Advanced set containment deep learned Rabin certificateless signcryption for secured transmission with big data in cloud

Nussbaum gain adaptive control for full‐state constrained cyber‐physical system under network attacks and actuator failures

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