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Research in cloud computing is receiving a lot of attention from both academic and industrial worlds. In cloud computing, user can outsource their computation and storage to servers (also called clouds) using Internet. Clouds can provide serveral types of services like applications (e.g., Google Apps, Microsoft online), infrastuctures (e.g.,Amazon'sEC2,Euclyptus,Nimbus),and platforms to help developers write applications (e.g., Amazon's S3,Windows Azure).Much of the data stored in clouds is highly sensitive, for example, medical records and social networks. Security and privacy are thus very important issues in cloud computing. In one hand, the user should authenticate itself before initiating any transaction , and on the other hand, it must be ensured that the cloud does not tamper with the data that is outsourced. In order to search in cloud, some requirements is needed, search over In order to any transaction, and on the other hand, it must be ensured that the cloud does not tamper with the data that is outsourced. In order to search in cloud, some requirements is needed, search over encrypted data should support the following three functions. First, the searchable encryption schemes should support multi-keyword search, and provide the same user experience as searching in Google search with different keywords; single-keyword search is far from satisfactory by only returning very limited and inaccurate search results. Second, to quickly identify most relevant results, the search user would typically prefer cloud servers to sort the returned search results in a relevance-based order ranked by the relevance of the search request to the documents. our main contributions can be summarized as follows:

Cloud computing is broadly utilized rising innovation for putting away and sharing information over web yet at the same time confronting loads of security and protection issues. These difficulties incorporate client's mystery information misfortune, information spillage and uncovering of the individual information security. Considering the security and protection inside the cloud there are different dangers to the client's delicate information on distributed storage. This paper is review on the security and protection issues and accessible arrangements. Additionally present diverse open doors in security and protection in cloud condition. Furthermore, cloud specialist co-ops (CSPs) can likewise deliver the talked about issues to offer better security and protection.

Cloud Computing (CC) is a relatively new technology that allows for widespread access and storage on the internet. Despite its low cost and numerous benefits, cloud technology still confronts several obstacles, including data loss, quality concerns, and data security like recurring hacking. The security of data stored in the cloud has become a major worry for both Cloud Service Providers (CSPs) and users. As a result, a powerful Intrusion Detection System (IDS) must be set up to detect and prevent possible cloud threats at an early stage. Intending to develop a novel IDS system, this paper introduces a new optimization concept named Lion Mutated-Genetic Algorithm (LM-GA) with the hybridization of Machine Learning (ML) algorithms such as Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM). Initially, the input text data is preprocessed and balanced to avoid redundancy and vague data. The preprocessed data is then subjected to the hybrid Deep Learning (DL) models namely the CNN-LSTM model to get the IDS output. Now, the intruded are discarded and non-intruded data are secured using Advanced Encryption Standard (AES) encryption model. Besides, the optimal key selection is done by the proposed LM-GA model and the cipher text is further secured via the steganography approach. NSL-KDD and UNSW-NB15 are the datasets used to verify the performance of the proposed LM-GA-based IDS in terms of average intrusion detection rate, accuracy, precision, recall, and F-Score.

Waste management is primitive problem faced by around the world this case is Developed or developing country. Since flooding of garbage bins the reproducing of germs and it makes awful wellbeing condition for the general population by spreading a few savage sicknesses, to keep away from such circumstance, wanting to plan a smart bins means it contains some sensors like IR sensor, weight sensor, photoelectric sensor and Radio frequency identification (RFID) CARD reader with help of these improve squander accumulation and keep up the neatness of the area. Internet of Things (IoT) is changing into associate more and more growing conception each in geographical point and out of doors of it. In this paper, we intends to structure an IoT based trash bin will consequently and constantly intimate the status of the trash in to the Municipality with help of IR sensing element it’ll send the information to the specialists United Nations office responsible for that correct space. Thus, the specific specialists can get the messages until the point that the bin is squashed and the each bin is given a specific ID it will in showcase in the screen of the revered officer and that they will take immediate action. The district laborers get the notice and they can find the region evacuate the trash receptacle supplant the enhanced one.