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Ensuring Secure Transmission in VANET: Optimal Clustering and Improved LSTM-Based Intrusion Detection

INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS 2025年第4期38卷

作者： Dalal, Kusum Deenbandhu Chhotu Ram Univ Sci & Technol Dept Elect & Commun Engn Sonipat Haryana India

VANETs are essential for future intelligent transportation systems, enabling communication among vehicles and infrastructure. However, their decentralized nature presents significant security challenges. This paper proposes a holistic framework to address these issues, comprising three components. First, the Self-Improved Kookaburra Optimization algorithm (SIKOA) optimizes cluster formation by considering trust, mobility patterns, and link lifetime, enhancing network efficiency and resilience. Second, an Improved Long Short-Term Memory (LSTM) model is introduced for intrusion detection, incorporating link quality and trust metrics to minimize false positives. Finally, an Improved blowfish algorithm is applied for data encryption, ensuring confidentiality and integrity. Experimental results in simulated VANET environments show that the proposed framework outperforms existing solutions in terms of detection accuracy, computational efficiency, and attack resilience.

关键词： blowfish algorithm clustering intrusion detection LSTM security VANET

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Cloud-based data security transactions employing blowfish and spotted hyena optimisation algorithm

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Journal of Control and Decision 2023年第4期10卷 494-503页

作者： Ch.Chakradhara Rao Tryambak Hiwarkar B.Santhosh Kumar CSE Department Sri Satya Sai University of Technology and Medical SciencesSehoreIndia CSE Department Guru Nanak Institute of TechnologyTelanganaIndia

Because of its on-demand servicing and scalability features in cloud computing,security and confidentiality have converted to key *** transaction information on thirdparty servers carries significant dangers so that malicious individuals trying for illegal access to information data security *** research proposes a security-aware information transfer in the cloud-based on the blowfish algorithm(BFA)to address the *** user is verified initially with the identification and separate the imported data using pattern matching ***,BFA is utilised to encrypt and save the data in *** can safeguard the data and streamline the proof so that client cannot retrieve the information without identification which makes the environment *** suggested approach’s performance is evaluated using several metrics,including encryption time,decryption time,memory utilisation,and *** to the existing methodology,the investigational findings clearly show that the method takes the least time to data encryption.

关键词： blowfish algorithm cloud environment data encryption spotted hyena optimisation algorithm user authentication

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A Robust algorithm for Digital Image Copyright Protection and Tampering Detection: Employing DWT, DCT, and blowfish Techniques

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TRAITEMENT DU SIGNAL 2023年第5期40卷 2019-2027页

作者： Salama, Ahmed S. Shoitan, Rasha Abdallah, Mohamed S. Cho, Young Im Nagm, Ahmad M. Future Univ Fac Engn & Technol Elect Engn Dept New Cairo 11845 Egypt Cairo Higher Inst Engn Dept Comp Engn & Elect Comp Sci & Management Cairo 11845 Egypt Elect Res Inst Comp & Syst Dept Cairo 11843 Egypt Elect Res Inst Informat Dept Cairo 11843 Egypt DeltaX Co Ltd AI Lab 24 Namdaemun Ro 9 GilJung Gu Seoul 04522 South Korea Gachon Univ Dept Comp Engn Seongnam 13415 South Korea

With the rapid proliferation of digital images on the internet, the task of preserving image ownership and ensuring the detection of unauthorized alterations has become increasingly challenging. This study introduces a robust algorithm, leveraging Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT), and blowfish encryption techniques, designed to maintain copyright integrity and detect image tampering. The proposed algorithm operates on a given RGB host image, first isolating it into its constituent red, green, and blue components. For the purpose of copyright protection, the algorithm applies DWT and DCT to the green component, embedding a watermark logo within it. The blue component is subjected to blowfish encryption, generating a ciphered blue component that aids in tampering detection. Subsequently, the least significant bits of this ciphered blue component are interchanged with those of the host image's red component, producing a novel red component. This process results in the creation of a watermarked green component, an original blue component, and a newly formed red component. These are then amalgamated to produce the final watermarked image. The proposed method is evaluated using five standard images, with simulation results demonstrating its resilience to various attacks. Importantly, the algorithm exhibits a capacity to detect any unauthorized modifications up to a granularity of 2x2 pixels.

关键词： blowfish algorithm data integrity encryption copyright DCT digital images DWT watermarking

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Deep intelligent blockchain technology for securing IoT-based healthcare multimedia data

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WIRELESS NETWORKS 2023年第6期29卷 2481-2493页

作者： Karthik, G. M. Kumar, A. S. Kalyana Karri, Aruna Bhaskar Jagini, Naga Padmaja Vellore Inst Technol Sch Comp Sci & Engn SCOPE Vellore CampusTiruvalam Rd Vellore 632014 Tamil Nadu India Inst Publ Enterprise Sch Analyt & IT Hyderabad 500101 Telangana India KL Univ Dept Comp Sci & Engn Vijayawada 522302 Andhra Pradesh India Vardhaman Coll Engn Dept Comp Sci & Engn Hyderabad 501218 Telangana India

Nowadays, Internet of Things (IoT) based applications are widely used in different sectors because of their high mobility, low cost, and efficiency. However, the wide usage of these applications leads to various security issues. Several security applications exist for protecting multimedia data, but the appropriate confidential range is not met due to the multi-variant features. Hence, the novel hybrid Elman Neural-based blowfish Blockchain Model has been developed in this article to secure IoT healthcare multimedia data. Here, the Elman network features provided continuous monitoring for predicting malicious events in the trained multimedia data. In addition, the crypto analysis was performed to enhance the confidentiality rate by hiding the raw data from third parties. The presented model was verified using python software. Furthermore, the robustness of the developed model is validated with a crypt analysis by launching attacks. Finally, the outcomes were estimated and compared with the existing techniques in terms of Encryption time, decryption time, execution time, error rate and confidential rate. Here, the evaluation database is the multimedia data, which is high in data size. Henceforth, the performance of the security model for securing multimedia data depends on time. Considering this, the time evaluation is measured in three classes: encryption, decryption and execution. The comparative analysis proves that the developed model achieved better results than others.

关键词： Blockchain Healthcare framework Elman neural network blowfish algorithm Multimedia security Internet of Things

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Developing an optimized routing protocol with rumor riding technique for detection of Sybil attack in VANET environment

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INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS 2024年第6期37卷 e5715-e5715页

作者： Navinkumar, V. R. Somasundaram, D. Univ Coll Engn Arni Dept Comp Sci & Engn Tiruvannamalai India Sri Shakthi Inst Engn & Technol Dept Elect & Commun Engn Coimbatore India

An attack on VANET known as a Sybil attack involves the attacker claiming or stealing multiple identities with the intent of causing havoc on the network's operation by disseminating false information. To protect the VANET network from Sybil attack, a variety of methods have been proposed. In order to compensate for the Sybil attack on VANETs, a rumor riding with salp swarm optimization (SSO) based Routing protocol is developed in this research work. The primary goal of this investigation is to discover how VANETs are vulnerable to the Sybil attack in order to improve their security. Rumor riding will be used to identify the Sybil attack in the suggested strategy. VANETs are protected by the blowfish algorithm, which uses SSO to select the best key for each network. The collective intelligence and dynamic adaptation of SALP swarm optimization algorithm enable efficient identification of rumor sources in complex networks. The algorithm is scalable, flexible, and adept at reducing false positives and negatives, making it suitable for large-scale monitoring. Its parallel processing capabilities and robustness ensure rapid and reliable detection. Using the NS2 platform, the proposed method is compared to existing benchmark in terms of delay, packet delivery ratio (PDR), packet loss, throughput, and attack detection rate. The proposed SSO has reduced the packet loss by nearly 5% and delay by nearly 7%, when compared with existing techniques. The delivery ratio of packet for proposed model is increased up to 8% of PDR, when compared with ACO, PSO, and FA. According to this evidence, it is clear that the proposed SSO outperformed existing approaches in a variety of performance metrics. To protect Vehicle Ad-hoc Networks (VANETs) against Sybil attacks, the Rumor Riding Routing Protocol is employed. This protocol detects and excludes compromised Road-Side Units (RSUs) from the routing table. blowfish encryption algorithm is implemented for security. Salp Swarm Optimization t

关键词： ant colony optimization blowfish algorithm rumor riding technique SALP swarm optimization Sybil attack vehicular ad hoc network

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A Review of Image Steganography Based on Multiple Hashing algorithm

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Computers, Materials & Continua 2024年第8期80卷 2463-2494页

作者： Abdullah Alenizi Mohammad Sajid Mohammadi Ahmad A.Al-Hajji Arshiya Sajid Ansari Department of Information Technology College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Computer Science College of Engineering and Information TechnologyOnaizah CollegesQassim56312Saudi Arabia

Steganography is a technique for hiding secret messages while sending and receiving communications through a cover *** ancient times to the present,the security of secret or vital information has always been a significant *** development of secure communication methods that keep recipient-only data transmissions secret has always been an area of ***,several approaches,including steganography,have been developed by researchers over time to enable safe data *** this review,we have discussed image steganography based on Discrete Cosine Transform(DCT)algorithm,*** have also discussed image steganography based on multiple hashing algorithms like the Rivest–Shamir–Adleman(RSA)method,the blowfish technique,and the hash-least significant bit(LSB)*** this review,a novel method of hiding information in images has been developed with minimal variance in image bits,making our method secure and effective.A cryptography mechanism was also used in this *** encoding the data and embedding it into a carry image,this review verifies that it has been ***,embedded text in photos conveys crucial signals about the *** review employs hash table encryption on the message before hiding it within the picture to provide a more secure method of data *** the message is ever intercepted by a third party,there are several ways to stop this operation.A second level of security process implementation involves encrypting and decrypting steganography images using different hashing algorithms.

关键词： Image steganography multiple hashing algorithms Hash-LSB approach RSA algorithm discrete cosine transform(DCT)algorithm blowfish algorithm

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Medical image security and authenticity via dual encryption

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APPLIED INTELLIGENCE 2023年第17期53卷 20647-20659页

作者： Nampalle, Kishore Babu Manhas, Shriansh Raman, Balasubramanian Indian Inst Technol Roorkee India Natl Inst Technol New Delhi India

Since medical images include sensitive patient information, security is the top priority during transmission. In addition to protecting patient data from potential criminals, security helps to confirm the field staff's identity. However, many medical institutions still need to adopt advanced security measures. In this paper, a new dual encryption method is proposed that implements blowfish and signcryption in a certificateless generalized form. The proposed method has an advantage over other methods due to its computational cost-effectiveness and speed. The performance measurements used to assess a proposed strategy's effectiveness are PSNR, entropy, MSE, correlation coefficient (CC), and time taken. We obtain a high PSNR value of 57.72 and a low time requirement of 42 seconds on average. Combining blowfish and certificateless signcryption iTqnto one double encryption scheme that is computationally secure, fast, and easy to implement. It would help push hospitals toward a cost-effective image security environment.

关键词： Medical image processing blowfish algorithm Certificateless signcryption Image security

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Dynamic virtual cluster cloud security using hybrid steganographic image authentication algorithm

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AUTOMATIKA 2019年第3期60卷 314-321页

作者： Venkatraman, K. Geetha, K. Anna Univ Chennai 600025 Tamil Nadu India Anna Univ Excel Engn Coll Dept Comp Sci & Engn Komarapalayam India

Storing data in a third party cloud system causes serious problems on data confidentiality. Generally, encryption techniques provide data confidentiality but with limited functionality, which occurs due to unsupported actions of encryption operation in cloud storage space. Hence, developing a decentralized secure storage system with multiple support functions like encryption, encoding, and forwarding tends to get complicated, when the storage system spreads. This paper aims mainly on hiding image information using specialized steganographic image authentication (SSIA) algorithm in clustered cloud systems. The SSIA algorithm is applied to virtual elastic clusters in a public cloud platform. Here, the SSIA algorithm embeds the image information using blowfish algorithm and genetic operators. Initially, the blowfish symmetric block encryption is applied over the image and then the genetic operator is applied to re-encrypt the image information. The proposed algorithm provides an improved security than conventional blowfish algorithm in a clustered cloud system.

关键词： Genetic algorithm encryption blowfish algorithm cloud security steganography

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Measuring the Security and reliability of Authentication of Social Networking Sites 7

Measuring the Security and reliability of Authentication of ...

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7th International Conference on Communication, Computing and Virtualization (ICCCV)

作者： Sagar, Kumud Waghmare, Vijaya Saraswati Coll Engn & Technol Kharghar 410210 Navi Mumbai India

Social Networking sites nowadays use passwords to authenticate users. But there are certain problems with this;the user may forget his password or the account may be hacked by the attacker. The web services nowadays provide users' with an alternative email address or security question to recover password. Unfortunately, this authentication mechanism is insecure or unreliable. To overcome the drawbacks of this mechanism, a backup mechanism for account recovery is considered. Backup authentication mechanism helps the users' to regain accounts with the help of trusted friends. In this mechanism user depends on multiple trustees and recover their account via verification mails. A trust model which is implemented in social networking sites is associated with an authentication protocol. Trust evaluation models are really needed in smart environments is that they create a secure yet more flexible environments because security policies cannot do that. Trust systems are very adaptive to the user needs, actions and behaviors. (c) 2016 The Authors. Published by Elsevier B.V.

关键词： trusted authentication blowfish algorithm Password recovery

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Secure non real time image encryption algorithm development using cryptography & Steganography 12

Secure non real time image encryption algorithm development ...

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12 IEEE Int C Elect Energy Env Communications Computer Control

作者： Mukhedkar, Moresh Powar, Prajkta Gaikwad, Peter DY Patil Coll Engn Dept E&TC Pune 410507 Maharashtra India VIIT Coll Engn Dept E&TC Pune 410507 Maharashtra India

ISBN: (纸本)9781467365406

In the current technology world, data transmission of various multimedia like sensitive images, video, text is very important and security is major concern in the fields of medical, commercial and military fields. Security is very important, as illegal users may hack the sensitive data. Currently, many techniques are available for secure transmission of data through internet. Some examples of such techniques are cryptography and steganography. In Cryptography, DES, 3DES, AES, blowfish algorithm are available. In this paper Image encryption is done using blowfish algorithm as it is faster and has good performance and for image hiding LSB technique is used as it is faster, simple and Bit manipulated. To provide higher security, hybrid approach has been proposed which uses combination of image encryption and image hiding. PSNR and MSE are used for measuring quality of image.

关键词： blowfish algorithm Decryption Encryption Least significant bit (LSB) Mean square error(MSE) Peak signal to noise ratio (PSNR) Security

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