An Introduction to MultiAgent Systems.

http://wpage.unina.it/valerio.persico/pubs/CloudIoT_FGCS.pdf

Integration of Cloud computing and Internet of Things

In this paper, we define and explore proofs of retrievability (PORs). A POR scheme enables an archive or back-up service (prover) to produce a concise proof that a user (verifier) can retrieve a target file F, that is, that the archive retains and reliably transmits file data sufficient for the user to recover F in its entirety.A POR may be viewed as a kind of cryptographic proof of knowledge (POK), but one specially designed to handle a large file (or bitstring) F. We explore POR protocols here in which the communication costs, number of memory accesses for the prover, and storage requirements of the user (verifier) are small parameters essentially independent of the length of F. In addition to proposing new, practical POR constructions, we explore implementation considerations and optimizations that bear on previously explored, related schemes.In a POR, unlike a POK, neither the prover nor the verifier need actually have knowledge of F. PORs give rise to a new and unusual security definition whose formulation is another contribution of our work.We view PORs as an important tool for semi-trusted online archives. Existing cryptographic techniques help users ensure the privacy and integrity of files they retrieve. It is also natural, however, for users to want to verify that archives do not delete or modify files prior to retrieval. The goal of a POR is to accomplish these checks without users having to download the files themselves. A POR can also provide quality-of-service guarantees, i.e., show that a file is retrievable within a certain time bound.

PORs: Proofs of Retrievability for Large Files

IoT security: Review, blockchain solutions, and open challenges

Review: Intrusion detection system: A comprehensive review

Data mining techniques have been used by researchers for analyzing protein sequences. In protein analysis, especially in protein sequence classification, selection of feature is most important. Popular protein sequence classification techniques involve extraction of specific features from the sequences. Researchers apply some well-known classification techniques like neural networks, Genetic algorithm, Fuzzy ARTMAP, Rough Set Classifier etc for accurate classification. This paper presents a review is with three different classification models such as neural network model, fuzzy ARTMAP model and Rough set classifier model. A new technique for classifying protein sequences have been proposed in the end. The proposed technique tries to reduce the computational overheads encountered by earlier approaches and increase the accuracy of classification.

A Brief Review of Data Mining Application Involving Protein Sequence Classification

Mobile Stations (MSs), in real-world systems, are not evenly distributed across cells. Thus, MSs in a hot cell are affected by the load imbalance and might unable to get services. Load balancing became one of the most active and emerging fields of research in Cellular Network. In order to balance the load among different cells, it is needed to transfer the over-loaded traffic from hot cells to neighbouring cooler ones. Various dynamic load balancing schemes to deal with the unbalanced traffic problem are already proposed. In this paper we have reviewed various techniques of load balancing in cellular network. We have also presented two comparison tables for the reviewed schemes. This work would help look at a glance to the previous works done in the area of Load Balancing in Cellular Networks.

Load balancing in Cellular Network: A review

Rapid development of smart technologies enables use of cloud service for large-scale data storage. Remote access of original data as well as biometric data from cloud storage enhances several challenges. It is inevitable to prevent unauthorized access of data stored in cloud. Biometrics authentication is more efficient than the known traditional authentication mechanisms. Authentication is a major security feature used to protect data privacy, whereas additional security features used to protect data may adversely affect it. There must be a balance between security and privacy during secure authentication design. Here a survey of security and privacy issues for biometrics based remote authentication in cloud is briefly presented and the research gaps are identified to attract more research on this domain in near future.

/pdf/a-survey-of-security-and-privacy-issues-for-biometrics-based-354grl075u.pdf

A Survey of Security and Privacy Issues for Biometrics Based Remote Authentication in Cloud

Mobile ad hoc networks (MANET) are highly vulnerable to attacks due to multiple factors including the open medium, dynamically changing network topology, cooperative algorithms, and lack of centralized monitoring. Besides slowing down the network, the traditional way of using firewalls and cryptography often fails to detect different types of attacks. The lack of infrastructures in MANETs makes the detection and control of security hazards all the more difficult. In this paper, we present a new, cluster based Black Hole Intrusion Detection System (BHIDS) for mobile, ad hoc networks. The features that are considered for BHIDS include mobility of nodes, variation in number of attacking nodes, packet delivery rate, density of the network, etc. The nodes in the network form a two-layered cluster. This helps splitting the processing and communication overhead between the cluster heads at Layer 1 and 2. The proposed IDS algorithm has been tested on a simulated network using the NS simulator. The performance graphs show marked improvement as far as packet dropping is concerned. Copyright © 2009 John Wiley & Sons, Ltd.

Rituparna Chaki

Papers

A Brief Review of Data Mining Application Involving Protein Sequence Classification

Load balancing in Cellular Network: A review

A Survey of Security and Privacy Issues for Biometrics Based Remote Authentication in Cloud

BHIDS: a new, cluster based algorithm for black hole IDS

A survey of security and privacy issues for biometrics based remote authentication in cloud