Audit-Free Cloud Storage via Deniable Attribute-based Encryption Abstract? Cloud storage services have become increasingly popular. Because of the importance of privacy, many cloud storage encryption schemes have been proposed to protect data from those who do not have access. All such schemes assumed that cloud storage providers are safe and cannot be hacked; however, in…
Authenticated Key Exchange Protocols for Parallel Network File Systems Abstract? Authenticated Key Exchange Protocols for Parallel Network File Systems. We study the problem of key establishment for secure many-to-many communications. The problem is inspired by the proliferation of large-scale distributed ?le systems supporting parallel access to multiple storage devices. Our work focuses on the current…
Authenticated Subgraph Similarity Search in Outsourced Graph Databases Abstract?Subgraph similarity search is used in graph databases to retrieve graphs whose subgraphs are similar to a given query graph. It has been proven successful in a wide range of applications including bioinformatics and chem-informatics, etc. Due to the cost of providing efficient similarity search services on…
Authentication Using Captcha As Graphical Password Abstract?Authentication Using Captcha As Graphical Password. Many security primitives are based on hard mathematical problems. Using hard AI problems for security is emerging as an exciting new paradigm, but has been under-explored. In this paper, we present a new security primitive based on hard AI problems, namely, a novel…
Authentication for Session Password Using Color and Images Abstract? Authentication for Session Password Using Color and Images. Most existing computer and network systems authenticate a user only at the initial login session. This could be a critical security weakness, especially for high-security systems because it enables an impostor to access the system resources until the…
Authorized Data Transfer using Key Classification Abstract?Authorized Data Transfer using Key Classification. The goal of interaction between human and computer is to find a way to treat it like human-human interaction. Gestures play an important role in human’s daily life in order to transfer data and human emotions. The gestures are results of part of…
Auto emergency alert using android Abstract?In the real world, patient has to be monitored by the person present in the home or by the helpers. There is no automatic alerting system being implemented so far. In this paper, the condition of the Patient is fully monitored with the help of Micro-Electro Mechanical System (MEMS), Heart…
Automobile Spare Shop(Android App) Abstract-The electroencephalogram (EEG) signals are commonly used for diagnosis of epilepsy. In this paper, we present a new methodology for EEG based automated diagnosis of epilepsy. Our method involves detection of key-points at multiple scales in EEG signals using a pyramid of difference of Gaussian (DoG) filtered signals. Local binary patterns…
Automated Diagnosis of Glaucoma Using Empirical Wavelet Transform and Correntropy Features Extracted from Fundus Images Abstract– Glaucoma is an ocular disorder caused due to increased fluid pressure in the optic nerve. It damages the optic nerve subsequently causes loss of vision. The available scanning methods are Heidelberg Retinal Tomography (HRT), Scanning Laser Polarimetry (SLP) and…
Automated diagnosis of normal and alcoholic EEG signals Abstract? Electroencephalogram (EEG) signals, which record the electrical activity in the brain, are useful for assessing the mental state of a person. Since these signals are nonlinear and non-stationary in nature, it is very difficult to decipher the useful information from them using conventional statistical and frequency…
Automated Fiducial Localization in CT Images Based on Surface Processing and Geometrical Prior Knowledge for Radiotherapy Applications Abstract? We propose a novel method for radio-opaque external marker localization in CT scans for infrared (IR) patient set-up in radiotherapy. Efforts were focused on the quantification of uncertainties in marker localization in the CT dataset as…
AUTOMATED GLAUCOMA DETECTION USING HYBRID FEATURE EXTRACTION IN RETINAL FUNDUS IMAGES Abstract?Glaucoma is one of the most common causes of blindness. Robust mass screening may help to extend the symptom-free life for affected patients. To realize mass screening requires a cost-effective glaucoma detection method which integrates well with digital medical and administrative processes. To…