Programmation Java Netbeans

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Revocable Identity-Based Broadcast Proxy Re-encryption for Data Sharing in Clouds

Cloud computing has become prevalent due to its nature of massive storage and vast computing capabilities. Ensuring a secure data sharing is critical to cloud applications. Recently, a number of identity-based broadcast proxy re-encryption (IB-BPRE) schemes have been proposed to resolve the problem. However, the IB-BPRE requires a cloud user (Alice) who wants to share data with a bunch of other users (e.g. colleagues) to participate the group shared key renewal process because Alice's private key is a prerequisite for shared key generation. This, however, does not leverage the benefit of cloud computing and causes the inconvenience for cloud users. Therefore, a novel security notion named revocable identity-based broadcast proxy re-encryption (RIB-BPRE) is presented to address the issue of key revocation in this work. In a RIB-BPRE scheme, a proxy can revoke a set of delegates, designated by the delegator, from the re-encryption key. The performance evaluation reveals that the proposed scheme is efficient and practical.

In programming it is often necessary to split a string into pieces for processing.  Often a long numeric value is entered and it may be necessary to separate each digit or the decimal portion from the whole portion for processing.  Using the Java split method it is possible to split a string value into it's individual components.  This is a demonstration of the Java .split method.

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KeyD: Secure Key-Deduplication with Identity-Based Broadcast Encryption

Deduplication, which can save storage cost by enabling us to store only one copy of identical data, becomes unprecedentedly significant with the dramatic increase in data stored in the cloud. For the purpose of ensuring data confidentiality, they are usually encrypted before outsourced. Traditional encryption will inevitably result in multiple different ciphertexts produced from the same plaintext by different users' secret keys, which hinders data deduplication. Convergent encryption makes deduplication possible since it naturally encrypts the same plaintexts into the same ciphertexts. One attendant problem is how to reliably and effectively manage a huge number of convergent keys. Several deduplication schemes have been proposed to deal with the convergent key management problem. However, they either need to introduce key management servers or require interaction between data owners. In this paper, we design a novel client-side deduplication protocol named KeyD without such an independent key management server by utilizing the identity-based broadcast encryption (IBBE) technique. Users only interact with the cloud service provider (CSP) during the process of data upload and download. Security analysis demonstrates that KeyD ensures data confidentiality and convergent key security, and well protects the ownership privacy simultaneously. A thorough and detailed performance comparison shows that our scheme makes a better tradeoff among the storage cost, communication and computation overhead. SYSTEM REQUIREMENTS: HARDWARE REQUIREMENTS:

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Dating with Scambots: Understanding the Ecosystem of Fraudulent Dating Applications

In this work, we are focusing on a new and yet uncovered way for malicious apps to gain profit. They claim to be dating apps. However, their sole purpose is to lure users into purchasing premium/VIP services to start conversations with other (likely fake female) accounts in the app. We call these apps as fraudulent dating apps. This paper performs a systematic study to understand the whole ecosystem of fraudulent dating apps. Specifically, we have proposed a three-phase method to detect them and subsequently comprehend their characteristics via analyzing the existing account profiles. Our observation reveals that most of the accounts are not managed by real persons, but by chatbots based on predefined conversation templates. We also analyze the business model of these apps and reveal that multiple parties are actually involved in the ecosystem, including producers who develop apps, publishers who publish apps to gain profit, and the distribution network that is responsible for distributing apps to end users. Finally, we analyze the impact of them to users (i.e., victims) and estimate the overall revenue. Our work is the first systematic study on fraudulent dating apps, and the results demonstrate the urge for a solution to protect users.

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A Data Sharing Protocol to Minimize Security and Privacy Risks of Cloud Storage in Big Data Era

A cloud-based big data sharing system utilizes a storage facility from a cloud service provider to share data with legitimate users. In contrast to traditional solutions, cloud provider stores the shared data in the large data centers outside the trust domain of the data owner, which may trigger the problem of data confidentiality. This paper proposes a secret sharing group key management protocol (SSGK) to protect the communication process and shared data from unauthorized access. Different from the prior works, a group key is used to encrypt the shared data and a secret sharing scheme is used to distribute the group key in SSGK. The extensive security and performance analyses indicate that our protocol highly minimizes the security and privacy risks of sharing data in cloud storage and saves about 12% of storage space.

We propose a novel architecture for adaptive encryption of public cloud databases that offers an interesting alternative to the trade-off between the required data confidentiality level and the flexibility of the cloud database structures at design time. We propose an original cost model that is oriented to the evaluation of cloud database services

El propósito de la investigación es implementar un sistema de información web bajo la metodología de desarrollo ágil Unified Process (OpenUP) y la NTP/IEC 12207 para la gestión y evaluación de los grupos organizados de la Iglesia Universitaria Villa Unión de la Universidad Peruana Unión, filial Tarapoto. El sistema de información se desarrolló integrando el proceso de desarrollo de la NTP ISO/IEC 12207 en las fases de concepción, elaboración, construcción y transición de la metodología de desarrollo ágil OpenUP del Eclipse Process Framework, con el objeto de obtener un software que responda a estándares de calidad y cumpla con los requerimientos de los usuarios. Se aplicó el patrón de diseño de la arquitectura Modelo Vista Controlador (MVC) con la Programación Orientada a Objetos, y conexión a base de datos PostgreSQL 9.0 mediante el patrón de diseño Singleton, que permite dar una mejor respuesta a las peticiones del sistema. EL sistema de información fue desarrollado en el lenguaje de programación Java, uso de JavaScript, estilos CSS3 y HTML5. El sistema de información contempla las siguientes funcionalidades: registro de grupos organizados, registro de integrantes, gestión de cargos, registro de eventos, elaboración de programas de cada evento, control de asistencias, registros de sub grupos, registro de estudiantes de la Biblia, proceso de evaluación de los miembros del grupo, registro de bautismos, registro de incidencias y registro de publicaciones. La investigación es de tipo descriptiva porque recopiló y sistematizó la información de los grupos organizados, además, es de tipo aplicada, porque está orientada a un giro de negocio. El sistema de información fue validado por los usuarios del sistema que son los líderes de la organización eclesiástica. En conclusión este sistema de información sirve de soporte para la adecuada gestión de los grupos organizados.

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Normalization of Duplicate Records from Multiple Sources

Data consolidation is a challenging issue in data integration. The usefulness of data increases when it is linked and fused with other data from numerous (Web) sources. The promise of Big Data hinges upon addressing several big data integration challenges, such as record linkage at scale, real-time data fusion, and integrating Deep Web. Although much work has been conducted on these problems, there is limited work on creating a uniform, standard record from a group of records corresponding to the same real-world entity. We refer to this task as record normalization. Such a record representation, coined normalized record, is important for both front-end and back-end applications. In this paper, we formalize the record normalization problem, present in-depth analysis of normalization granularity levels (e.g., record, field, and value-component) and of normalization forms (e.g., typical versus complete). We propose a comprehensive framework for computing the normalized record. The proposed framework includes a suit of record normalization methods, from naive ones, which use only the information gathered from records themselves, to complex strategies, which globally mine a group of duplicate records before selecting a value for an attribute of a normalized record. We conducted extensive empirical studies with all the proposed methods. We indicate the weaknesses and strengths of each of them and recommend the ones to be used in practice.

Millions of people utilise social networking services all over the world. Users' interactions with social media sites like Twitter and Facebook have a huge impact on daily life, with some unfavourable consequences. Spammers have converted popular social networking sites into a target platform for disseminating a large number of irrelevant and harmful information. Twitter, for example, has grown to be one of the most widely utilised platforms of all time, allowing for an excessive amount of spam. Fake users send unwanted tweets to users in order to advertise services or websites, which not only harm actual users but also waste resources. Furthermore, the ability of spreading false information to users via fake identities has grown, resulting in the spread of hazardous materials. The detection of spammers and the identification of fraudulent users on Twitter has recently been a popular research topic in today's online social networks (OSNs).

This book can be used in two ways:
* One way is an integrated approach in which readers learn how to write both non-GUI and GUI programs as they learn basic programming concepts and skills.
* The other approach focuses on illustrating fundamental programming concepts with non-GUI programming first, and later incorporating GUI components.

2018-2019 JAVA IEEE PROJECT TITLES:
IEEE 2018 – 2019 CLOUD COMPUTING PROJECT TITLES:
A Lightweight Secure Data Sharing Scheme for Mobile Cloud Computing
A New Lightweight Symmetric Searchable Encryption Scheme for String Identification
A Three-Layer Privacy Preserving Cloud Storage Scheme Based on Computational Intelligence in Fog Computing
Achieving Secure and Efficient Dynamic Searchable Symmetric Encryption over Medical Cloud Data
An Efficient and Privacy-Preserving Biometric Identification Scheme in Cloud Computing
An Efficient Ranked Multi-Keyword Search for Multiple Data Owners Over Encrypted Cloud Data
Audit-Free Cloud Storage via Deniable Attribute-based Encryption
Catch You if You Misbehave: Ranked Keyword Search Results Verification in Cloud Computing
Chaotic Searchable Encryption for Mobile Cloud Storage
CLASS: Cloud Log Assuring Soundness and Secrecy Scheme for Cloud Forensics
Combining Data Owner-side and Cloud-side Access Control for Encrypted Cloud Storage
CryptCloud+: Secure and Expressive Data Access Control for Cloud Storage
DROPS: Division and Replication of Data in Cloud for Optimal Performance and Security
Efficient and Expressive Keyword Search Over Encrypted Data in Cloud
Efficient Fine-Grained Data Sharing Mechanism for Electronic Medical Record Systems with Mobile Devices
Efficient Retrieval over Documents Encrypted by Attributes in Cloud Computing
Efficient Traceable Authorization Search System for Secure Cloud Storage
Fine-Grained Two-Factor Protection Mechanism for Data Sharing in Cloud Storage
Identity-Based Private Matching over Outsourced Encrypted Datasets
Inference Attack-Resistant E-Healthcare Cloud System with Fine-Grained Access Control
Lightweight and Privacy-Preserving Delegatable Proofs of Storage with Data Dynamics in Cloud Storage
Privacy Preservation for Outsourced Medical Data With Flexible Access Control
Privacy Protection and Intrusion Avoidance for Cloudlet-based Medical Data Sharing
Provably Secure Fine-Grained Data Access Control over Multiple Cloud Servers in Mobile Cloud Computing Based Healthcare Applications
Publicly Verifiable Boolean Query Over Outsourced Encrypted Data
Secure and Efficient Attribute-Based Access Control for Multiauthority Cloud Storage
Secure Data Group Sharing and Dissemination with Attribute and Time Conditions in Public Cloud
Secure Fine-Grained Access Control and Data Sharing for Dynamic Groups in Cloud
Semantic-aware Searching over Encrypted Data for Cloud Computing
SEPDP: Secure and Efficient Privacy Preserving Provable Data Possession in Cloud Storage
SeSPHR: A Methodology for Secure Sharing of Personal Health Records in the Cloud
Towards Privacy-preserving Content-based Image Retrieval in Cloud Computing
Unified Fine-grained Access Control for Personal Health Records in Cloud Computing
IEEE 2018 – 2019 DATA MINING PROJECT TITLES
Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites
CoDetect: Financial Fraud Detection With Anomaly Feature Detection
Complementary Aspect-based Opinion Mining
Emotion Recognition on Twitter: Comparative Study and Training a Unison Model
Frequent Itemsets Mining With Differential Privacy Over Large-Scale Data
Health Monitoring on Social Media over Time
l-Injection: Toward Effective Collaborative Filtering Using Uninteresting Items
On Generalizing Collective Spatial Keyword Queries
Online Product Quantization
Privacy Characterization and Quantification in Data Publishing
Road Traffic Speed Prediction: A Probabilistic Model Fusing Multi-Source Data
Scalable Content-Aware Collaborative Filtering for Location Recommendation
SDE: A Novel Clustering Framework Based on Sparsity-Density Entropy
Search Result Diversity Evaluation based on Intent Hierarchies
When to Make a Topic Popular Again? A Temporal Model for Topic Re-hotting Prediction in Online Social Networks

IEEE 2018 – 2019 MACHINE LEARNING PROJECT TITLES
A Comprehensive Study on Social Network Mental Disorders Detection via Online Social Media Mining
A Credibility Analysis System for Assessing Information on Twitter
A Novel Machine Learning Algorithm for Spammer Identification in Industrial Mobile Cloud Computing
Credit Card Fraud Detection Using AdaBoost and Majority Voting
Hate Speech on Twitter: A Pragmatic Approach to Collect Hateful and Offensive Expressions and Perform Hate Speech Detection
Performance Comparison of Support Vector Machine, Random Forest, and Extreme Learning Machine for Intrusion Detection
Supervised and Unsupervised Aspect Category Detection for Sentiment Analysis With Co-Occurrence Data
Using Data Mining to Predict Hospital Admissions From the Emergency Department
IEEE 2018 – 2019 NETWORKING PROJECT TITLES
Energy Efficient Link-Delay Aware Routing in Wireless Sensor Networks
GeTrust: A guarantee-based trust model in Chord-based P2P networks
PROVEST: Provenance-based Trust Model for Delay Tolerant Networks
Traffic and Energy Aware Routing for Heterogeneous Wireless Sensor Networks

IEEE 2018 – 2019 SOCIAL NETWORKING PROJECT TITLES
3-HBP: A Three-Level Hidden Bayesian Link Prediction Model in Social Networks
Analyzing and Detecting Money-Laundering Accounts in Online Social Networks
Detection of suicide-related posts in Twitter data streams
Risk Assessment in Social Networks based on User Anomalous Behaviours
Segregating Spammers and Unsolicited Bloggers from Genuine Experts on Twitter
Semi-Supervised Spam Detection in Twitter Stream
IEEE 2018 – 2019 MOBILE COMPUTING PROJECT TITLES
Distributed Faulty Node Detection in Delay Tolerant Networks: Design and Analysis
Efficient Privacy-Aware Authentication Scheme for Mobile Cloud Computing Services
Identifying On-site Users for Social Events: Mobility, Content, and Social Relationship
Protecting Location Privacy for Task Allocation in Ad Hoc Mobile Cloud Computing
IEEE 2018 – 2019 WEB MINING PROJECT TITLES
Relevant Feedback Based Accurate and Intelligent Retrieval on Capturing User Intention for Personalized Websites
IEEE 2018 – 2019 SECURE COMPUTING PROJECT TITLES
A Hybrid Approach for Detecting Automated Spammers in Twitter
A Provably-Secure Cross-Domain Handshake Scheme with Symptoms-Matching for Mobile Healthcare Social Network
Anonymization of Sensitive Quasi-Identifiers for l-Diversity and t-Closeness
Collective Data-Sanitization for Preventing Sensitive Information Inference Attacks in Social Networks
Efficient Fine-Grained Data Sharing Mechanism for Electronic Medical Record Systems with Mobile Devices
Exploiting Social Network to Enhance Human-to-Human Infection Analysis Without Privacy Leakage
IEEE 2018 – 2019 INFORMATION FORENSICS AND SECURITY PROJECT TITLES
Trust-based Collaborative Privacy Management in Online Social Networks

IEEE 2018 – 2019 IOT Titles
Cloud-based Fine-grained Health Information Access Control Framework for Lightweight IoT Devices with Dynamic Auditing and Attribute Revocation
Light-Weight Security and Data Provenance for Multi-Hop Internet of Things
MDSClone: Multidimensional Scaling Aided Clone Detection in Internet of Things
IEEE 2018 – 2019 IMAGE PROCESSING PROJECT TITLES
Automatic Generation of Social Event Storyboard From Image Click-Through Data
Joint Hypergraph Learning for Tag-based Image Retrieval
Query-free Clothing Retrieval via Implicit Relevance Feedback

IEEE 2018 – 2019 SOFTWARE ENGINEERING PROJECT TITLES
A Developer Centered Bug Prediction Model
IEEE 2018 – 2019 SERVICE COMPUTING (WEB SERVICES)
Lightweight Fine-Grained Search over Encrypted Data in Fog Computing
IEEE 2018 – 2019 BIG DATA
A Secure and Verifiable Access Control Scheme for Big Data Storage in Clouds
AccountTrade: Accountability Against Dishonest Big Data Buyers and Sellers
Structural Balance Theory-based E-commerce Recommendation over Big Rating Data

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Enabling Authorized Encrypted Search for Multi-Authority Medical Databases

E-medical records are sensitive and should be stored in a medical database in encrypted form. However, simply encrypting these records will eliminate data utility and interoperability of the existing medical database system because encrypted records are no longer searchable. Moreover, multiple authorities could be involved in controlling and sharing the private medical records of clients. However, authorizing different clients to search and access records originating from multiple authorities in a secure and scalable manner is a nontrivial matter. To address the above issues, we propose an authorized searchable encryption scheme under a multi-authority setting. Specifically, our proposed scheme leverages the RSA function to enable each authority to limit the search capability of different clients based on clients' privileges. To improve scalability, we utilize multi-authority attribute-based encryption to allow the authorization process to be performed only once even over policies from multiple authorities. We conduct rigorous security and cost analysis, and perform experimental evaluations to demonstrate that the proposed scheme introduces moderate overhead to existing searchable encryption schemes.

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AccountTrade: Accountability Against Dishonest Big Data Buyers and Sellers

In this paper, a set of accountable protocols denoted as AccountTrade is proposed for big data trading among dishonest consumers. For achieving secure the big data trading environment, AccountTrade achieves book-keeping ability and accountability against dishonest consumers throughout the trading (i.e., buying and selling) of datasets. We investigate the consumers' responsibilities in the dataset trading, then we design AccountTrade to achieve accountability against dishonest consumers that are likely to deviate from the responsibilities. Specifically, a uniqueness index is defined and proposed, which is a new rigorous measurement of the data uniqueness for this purpose. Furthermore, several accountable trading protocols are presented to enable data brokers to blame the misbehaving entities when misbehavior is detected. The accountability of AccountTrade is formally defined, proved, and evaluated by an automatic verification tool as well as extensive simulation with real-world datasets. Our evaluation shows that AccountTrade incurs at most 10KB storage overhead per file, and it is capable of 8-1000 concurrent data upload requests per server.

Materi pada bab ini disajikan supaya mahasiswa mampu mengenal dan memahami tentang variabel, cara membuat variabel dan fungsi variabel pada bahasa pemrograman. Mahasiswa juga diharapkan mampu mengenal berbagai tipe data yang bisa disimpan pada suatu variabel dan bagaimana perbedaan fungsi dari masing-masing tipe data.

Sistem Point of Sales merupakan sistem yang sangat berguna bagi
sebuah usaha restoran seperti RESTO. Penerapan sistem Point of Sales bagi RESTO dapat membantu mempermudah dan mempercepat proses kerjanya.

Dalam sistem Point of Sales ini terdapat berbagai fitur seperti:
a. Pencatatan transaksi
b. Pencatatan reservasi
c. Pencatatan data master
d. Pembuatan laporan otomatis
Fitur-fitur tersebut di atas akan mempermudah RESTO dalam menjalankan
proses bisnisnya, serta membantu manajer usaha untuk mendapatkan
rekapitulasi hasil usaha dalam periode tertentu dengan mudah.

Seiring dengan perkembangan teknologi komputer yang berkembang dengan sangat cepat sehingga membuatnya menjadi kebutuhan pokok bahkan suatu kewajiban dalam perkembangan teknlogi membutuhkan komputer sebagai media perkembangannya .Media penyimpanan memiliki beberapa jenis yaitu : kertas, berkas yang memiliki banyak sekali kekurangan sehingga menyebabkan keamanan ketahanan dan kerapian dalam menyimpan data sangat kurang efektif dan efesien dalam pengolahanya.
Sehingga dengan berkembangnya teknologi,yang termasuk teknologi dalam penyimpanan data sekarang yaitu Basis Data (Database) akan mempermudah user dalam menyimpan, mengakses, menghapus, dan mengedit sehingga ketika suatu saat nanti dibutuhkan akan memperudah dalam pencarian dan pengkasesannya.

Abstrak: Perkembangan Teknologi Informasi modern dapat membantu aktivitas parkir kendaraan pada Rumah Sakit Umum Daerah (RSUD) Deli Serdang dianalisis dengan menggunakan NetBeans IDE 8.2 dan menghasilkan penelitian dengan judul Perancangan Konsep Object Oriented Programming Sistem Parkir Kendaraan di RSUD Deli Serdang Menggunakan Java. Sistem parkir yang berjalan di Rumah Sakit Umum Daerah Deli Serdang masih dilakukan dengan cara manual sehingga pengendara sesuka hati memarkirkan kendaraanya. Selain itu tidak sedikit kendaraan yang hilang karena parkir di sembarang tempat. Penggunaan komputerisasi pada sistem parkir di Rumah Sakit Umum Daerah Deli Serdang memberikan kemudahan bagi operator untuk mendata setiap kendaraan yang masuk dan keluar dari lingkungan Rumah Sakit Umum Deli Serdang yang dapat meningkatkan keamanan data dan kendaraan yang berada di parkiran Rumah Sakit Umum Deli Serdang. Sistem parkir ini di bangun dengan menggunakan bahasa pemrograman Java dan NetBeans IDE 8.2 sebagai GUI nya. Dengan adanya sistem parkir tersebut akan memberikan kenyamanan bagi pengguna parkir dan juga mengefesienkan kinerja petugas parkir. Abstract : The development of modern Information Technology can help vehicle parking activities at Rumah Sakit Umum Daerah (RSUD) Deli Serdang analyzed using NetBeans IDE 8.2 and produce research with the title Design of Object Oriented Programming Concepts Vehicle Parking Systems in RSUD Deli Serdang Using Java. The parking system that runs at Rumah Sakit Umum Daerah Deli Serdang is still done manually so that the driver likes to park the vehicle. In addition, not a few vehicles are lost due to parking in any place. The use of computerization in the parking system at Rumah Sakit Umum Daerah Deli Serdang makes it easy for operators to register every vehicle that enters and exits from the environment of Rumah Sakit Umum Daerah Deli Serdang which can improve data and vehicle security in the parking lot of Rumah Sakit Umum Daerah Deli Serdang. This parking system is built using the Java programming language and NetBeans IDE 8.2 as the GUI. With the parking system, it will provide convenience for parking users and also improve the performance of parking attendants.