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

In this paper, a new honest-rate base collaborative intrusion detection system (HIDS) has been proposed for mobile, ad-hoc networks. The method uses promiscuous mode of working along with rating and collaborative decision making based on multiple threshold values. All nodes join the network with an initial value of 1 for an honesty rate index, termed as h-rate. The h-rate of a node dynamically increases or decreases depending on its behavior. A node is rewarded when it forwards packets for other nodes. It is penalized when it does some malicious act like dropping packets, etc. The h-rate for a node NX is recomputed based on its current h-rate, and the rewards or penalty points that it has accrued. The proposed rule-based scheme reduces the h-rate of a node gradually, if it behaves abnormally. This provides an inherent mechanism against phantom intrusion detection. The h-rate may also be used for secure routing in MANET.

HIDS: Honesty-Rate Based Collaborative Intrusion Detection System for Mobile Ad-Hoc Networks

Mobile Adhoc Network (MANET) is highly vulnerable to attacks due to the open medium dynamically changing network topology, co-operative algorithm, lack of centralized monitoring and management point. The fact that security is a critical problem when implementing mobile ad hoc networks (MANETs) is widely acknowledged. One of the different kinds of misbehavior a node may exhibit is selfishness. Routing protocol plays a crucial role for effective communication between mobile nodes and operates on the basic assumption that nodes are fully cooperative. Because of open structure and limited batterybased energy some nodes (i.e. selfish or malicious) may not cooperate correctly. There can be two types of selfish attacks –selfish node attack (saving own resources) and sleep deprivation (exhaust others’ resources. In this paper, we propose a new Intrusion Detection System (IDS) based on Mobile Agents. The approach uses a set of Mobile Agent (MA) that can move from one node to another node within a network. This as a whole reduces network bandwidth consumption by moving the computation for data analysis to the location of the intrusion. Besides, it has been established that the proposed method also decreases the computation overhead in each node in the network.

MADSN: Mobile Agent Based Detection of Selfish Node in MANET

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

Internet of Things is a novel concept that semantically implies a world-wide network of uniquely addressable interconnected smart objects. It is aimed at establishing any paradigm in computing. This environment is one where the boundary between virtual and physical world is eliminated. As the network gets loaded with hitherto unknown applications, security threats also become rampant. Current security solutions fail as new threats appear to de-struct the reliability of information. The network has to be transformed to IPv6 enabled network to address huge number of smart objects. Thus new addressing schemes come up with new attacks. Real time analysis of information from the heterogeneous smart objects needs use of cloud services. This can fall prey to cloud specific security threats. Therefore need arises for a review of security threats for a new area having huge demand. Here a study of security issues in this domain is briefly presented.

Study of Security Issues in Pervasive Environment of Next Generation Internet of Things

Traditional discretionary access control (DAC) or mandatory access control (MAC) is not quite effective for remote environment. General role-based access control (RBAC) also has its limitations to ...

Rituparna Chaki

Papers

HIDS: Honesty-Rate Based Collaborative Intrusion Detection System for Mobile Ad-Hoc Networks

MADSN: Mobile Agent Based Detection of Selfish Node in MANET

A Brief Review of Data Mining Application Involving Protein Sequence Classification

Study of Security Issues in Pervasive Environment of Next Generation Internet of Things

An Adaptation of Context and Trust Aware Workflow Oriented Access Control for Remote Healthcare