With the internet today available at the user’s beck, and call data or Information Security plays a vital role. Confidentiality, Integrity, Availability, and Non-repudiation are the pillars of security on which every application on the web is based on. With these basic requirements the users also need the security in low resource constrained environments making it more challenging for the security experts to design secured cryptographic algorithms. Digital Signatures play a pivotal role in Authentication. They help in verifying the integrity of the data being exchanged. Elliptical curves are the strongest contenders in Digital Signatures, and much research is being done to enhance the method in many ways. The paper briefs a secured and improved ECDSA Elliptical Curve Digital Signature Algorithm which is an improved and secured version of the Digital Signature Algorithm.
An improvisation version of traditional wireless networks provide mobile ad hoc network (MANET), which is highly suitable for emergency needs. But, at the same time, due to its infrastructure less and resources limitation create many challenges in its performance. Mainly due to its dynamic behaviour it prones to high security concern, as the complete communication cycle depends on the independent nodes which voluntary join and leave. Several security studies reveal that trust management systems can be effective and attained low overhead. But, most of these studies used an automated decision algorithms based on some predefined trust scheme. This kind of scheme unable to distinguish the node intentional and unintentional errors at runtime, which impact the selected paths for the communication. So, it is very important to identify node behaviour and also provide node recovery scheme. In this paper, we propose a novel trust management system based on node behaviour predication algorithm to preserve high network stability and security for the reliable data delivery. The algorithm will predict and identify the node behaviour and distinguish between unintentional temporary errors and intentional malicious behaviour and compute a node overall trust. Experimental results show that, node behavior prediction and trust management system improvise the throughput ratio and network stability.
<p>Image <span>encryption enables users to safely transmit digital photographs via a wireless medium while maintaining enhanced anonymity and validity. Numerous studies are being conducted to strengthen picture encryption systems. Elliptical curve cryptography (ECC) is an effective tool for safely transferring images and recovering them at the receiver end in asymmetric cryptosystems. This method's key generation generates a public and private key pair that is used to encrypt and decrypt a picture. They use a public key to encrypt the picture before sending it to the intended user. When the receiver receives the image, they use their private key to decrypt it. This paper proposes an ECC-dependent image encryption scheme utilizing an enhancement strategy based on the gravitational search algorithm (GSA) algorithm. The private key generation step of the ECC system uses a GSA-based optimization process to boost the efficiency of picture encryption. The image's output is used as a health attribute in the optimization phase, such as the peak signal to noise ratio (PSNR) value, which demonstrates the efficacy of the proposed approach. As comparison to the ECC method, it has been discovered that the suggested encryption scheme offers better optimal PSNR </span>values.</p>
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