The fast development of technology and social media have both brought about substantial changes to the ways in which humans communicate. Because the effectiveness of social networks is largely dependent on the processing of the enormous amounts of data that they collect, these networks are all looking not only for the most recent advancements in…[Read more]

Artificial Intelligence is the science and engineering of making intelligent machines, aimed at providing machines with the ability to think, reach, and surpass human-level intelligence. In this paper, we begin with an introduction to the general field of artificial intelligence, then progress to the birth, history, and the rise of artificial…[Read more]

: Cyber-attacks are becoming more sophisticated and thereby presenting increasing challenges in accurately detecting intrusions. Failure to prevent the intrusions could degrade the credibility of security services, e.g. data confidentiality, integrity, and availability. Numerous intrusion detection methods have been proposed in the literature to…[Read more]

The Anti-fraud-Tensorlink4cheque (AFTL4C) is a new AI/ML-based solution developed to detect cheque fraud in real-time. Cheque fraud has become a major issue for financial institutions, resulting in millions of losses due to fraudulent activities. The AFTL4C solution uses Generative Adversarial Network (GAN) technique to compare various factors on…[Read more]

Cloud computing has achieved maturity, and there is a heterogeneous group of providers and cloud-based services. However, significant attention remains focused on security concerns. In many cases, security and privacy issues are a significant barrier to user acceptance of cloud computing systems and the advantages these offer with respect to…[Read more]

Inherited retinal diseases cause severe visual deficits in children. They are classified in outer and inner retina diseases, and often cause blindness in childhood. The diagnosis for this type of illness is challenging, given the wide range of clinical and genetic causes (with over 200 causative genes). It is routinely based on a complex pattern…[Read more]

Online marketplaces often witness opinion spam in the form of reviews. People are often hired to target specific brands for promoting or impeding them by writing highly positive or negative reviews. This often is done collectively in groups. Although some previous studies attempted to identify and analyze such opinion spam groups, little has been…[Read more]

Contrasted with the past, improvements in PC and correspondence innovations have given broad and propelled changes. The use of new innovations give incredible advantages to people, organizations, and governments, be that as it may, messes some up against them. For instance, the protection of significant data, security of put away information…[Read more]

Rainfall prediction is one of the challenging and uncertain tasks which has a significant impact on human society. Timely and accurate predictions can help to proactively reduce human and financial loss. This study presents a set of experiments which involve the use of prevalent machine learning techniques to build models to predict whether it is…[Read more]

Sign Language Recognition (SLR) targets on interpreting the sign language into text or speech, so as to facilitate the communication between deaf-mute people and ordinary people. This task has broad social impact, but is still very challenging due to the complexity and large variations in hand actions. Existing methods for SLR use hand-crafted…[Read more]

Recently, Personal Data Storage (PDS) has introduced a tremendous change to the way people can store and control their own data through moving from a help-driven to a client-driven model. PDS gives people the ability to safeguard their information in a totally remarkable intelligent storehouse that might be connected and misused by means of…[Read more]

With the quick improvement of web based business, an enormous measure of exchange information has been created, which might be utilized by lawbreakers for fake exchanges. In genuine application, not the entirety of the assets take episodes can be found by the inconsistency identification framework in the bank in light of the fact that the…[Read more]

The Publish and Subscribe (bar/sub) framework is a laid out worldview to scatter the information from distributers to supporters in an approximately coupled way utilizing an organization of devoted intermediaries. Notwithstanding, delicate information could be presented to malignant elements in the event that merchants get compromised or hacked;…[Read more]

Medical associations think that it’s difficult to receive cloud-based Electronic Health Records (EHR) benefits because of the danger of information penetrates and the subsequent trade off of patient information. Existing approval models follow a patient-driven methodology for HER administration, where the duty of approving information access is t…[Read more]

Accessible public key encryption (SPKE) is helpful public key cryptographic crude that permits a client to perform catchphrase look over freely scrambled messages on an untrusted stockpiling worker while ensuring the security of the first messages just as the pursuit watchwords. Notwithstanding, the greater part of the recently proposed SPKE…[Read more]

However, because the detection can be easily avoided, such approaches may suffer from a large number of false negatives. For example, when the clicks are behind proxies or globally scattered, such approaches may suffer from a high number of false negatives. In this work, we describe AdSherlock, a client-side (within the app) click fraud detection…[Read more]