An Efficient Medical Text Mining in Diseases Diagnoses And its equivalent Data privacy Preservation Policy for Medical Data: A Review

Healthcare systems use a medical text mining which have been increasingly facilitating health condition monitoring and disease modeling. System works on the Personal Health Information (PHI) of the user. Healthcare system grant users access to range of health information and medical knowledge. Benefit of the system is all the information about disease, precautions and healthcare are store at one place. Unfortunately, delegating both storage and computation to the untreated entity would bring a series of security and privacy issues. One of the controversial issues for PHI is how the technology could threaten the privacy of patient health information. The proposed system focused on fine-grained privacy-preserving static medical text access and analysis, which can hardly afford the dynamic health condition fluctuation

Securing Audio Watermarking System using Discrete Fourier Transform for Copyright Protection

The recent growth in pc networks, and a lot of specifically, the planet Wide internet, copyright protection of digital audio becomes a lot of and a lot of necessary. Digital audio watermarking has drawn in depth attention for copyright protection of audio information. A digital audio watermarking may be a method of embedding watermarks into audio signal to point out genuineness and possession. Our technique supported the embedding watermark into audio signal and extraction of watermark sequence. We tend to propose a brand new watermarking system victimization separate Fourier remodel (DFT) for audio copyright protection. The watermarks area unit embedded into the best outstanding peak of the magnitude spectrum of every non-overlapping frame. This watermarking system can provides robust lustiness against many styles of attacks like noise addition, cropping, re-sampling, re-quantization, and MP3 compression and achieves similarity values starting from thirteen sound unit to twenty sound unit. Additionally, planned systems attempting to realize SNR (signal-to-noise ratio) values starting from twenty sound unit to twenty-eight sound unit. DOI: 10.17762/ijritcc2321-8169.15055

An Ontology based Enhanced Framework for Instant Messages Filtering for Detection of Cyber Crimes

Instant messaging is very appealing and relatively new class of social interaction. Instant Messengers (IMs) and Social Networking Sites (SNS) may contain messages which are capable of causing harm, which are untraced, leading to obstruction for network communication and cyber security. User ignorance towards the use of communication services like Instant Messengers, emails, websites, social networks etc, is creating favourable conditions for cyber threat activity. It is required to create technical awareness in users by educating them to create a suspicious detection application which would generate alerts for the user so that suspicious messages are not ignored. Very limited research contributions were available in for detection of suspicious cyber threat activity in IM. A context based, dynamic and intelligent suspicious detection methodology in IMs is proposed, to analyse and detect cyber threat activity in Instant Messages with relevance to domain ontology (OBIE) and utilizes the Association rule mining for generating rules and alerting the victims, also analyses results with high ratio of precision and recall. The results have proved improvisation over the existing methods by showing the increased percentage of precision and recall. DOI: 10.17762/ijritcc2321-8169.15056

Review On : A Secure Encryption approach for Textual Data Transmission

Secure data transfer is the most important concern in today’s world. Data in transit is always in danger of getting compromised Communication of information over the Internet is rapidly increasing due to the availability of the Internet and increase in transmission speed. However, confidentiality, data security, reliability issues regarding to data transmission such as , data loss are becoming serious concerns. To fulfill the need of secure transmission of text data, we proposed algorithm in next paper. Secure data transfer is the most important concern in today’s world. Data in transit is always in danger of getting compromised

Key Aggregate Policies for Secure Data Sharing in Cloud Storage

ABSTRACT:Sensitive information modified should be firmly done to verify the integrity of cloud information, to stop it from being disclosed to or modified by unauthorized parties. Many enterprises supply information storage to the cloud mere a member of a company or information owner can merely share information with completely different members or users with confidentiality. The new public key aggregate policies that prove constant-size ciphertext wherever mere ciphertext unit labeled with sets of attributes and private keys unit associated with structures that management that user is able to decrypt. In several words, the key holder can unleash a constantsize aggregate key for versatile preferences of ciphertext set in cloud storage, but the other encrypted files outside the set keep secret to boot to authentication and privacy preservation this theme tries to satisfy all completely different security wants with key management and achieves higher quantifiability once the quantity of access levels can increase

A SURVEY ON HEART DISEASE PREDICTION USING SOFT COMPUTING

Large number of people has being affected due to heart disease and it has become a major problem. One of such threat is Cardiovascular Disease (CVD). If it is not treated and detected at an early and proper stage may lead to death. Especially in medical sector there is no such adequate research focus on effective analysis tool to discover and trends in data. Large amount of complex clinical data of patients and other hospital resources are being generated by health care industry nowadays. In male as well as female, it is the first leading cause of death according to world health organisation (WHO). Various heart diseases are caused due to reduction in supply of blood and oxygen. Therefore main objective of our paper is to predict more accurately the percentage of possibility of cardiovascular disease in minimum number of attributes (like blood pressure, cholesterol, type of chest pain, blood sugar, etc). Many data mining techniques are used to analyse this rich collection of data from different perspectives and deriving useful information. This project intends to design and develop, diagnosis and prediction system for heart disease based on soft computing technique that is ANFIS