SECURE STRATEGY FOR OPTICAL IMAGE ENCRYPTION SYSTEM BASED ON AMPLITUDE MODULATION, PHASE MODULATION AND MODIFIED LOGISTIC MAP

Author :  Ahmed M. Elshamy

Affiliation :  Department of Network and Security, College of Information Technology, Fujairah University

Country :  Egypt

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  8, 18, February, 2018

Abstract :

This paper presents an optical image encryption system based completely on amplitude modulation, phase modulation in the discrete Fourier transform and modified chaotic logistic map. Amplitude modulation and phase modulation are accomplished by the use of spatial light modulator (SLM). SLMs are normally used to control incident light in amplitude-best, phasebest or the mixture (amplitude-phase). The random amplitude modulation based on a chaotic Baker map is carried out in time domain, while the random phase modulation is accomplished in the frequency domain. In this paper, we proposed a technique to regulate and enhance protection in a chaotic logistic map method leading to increased variety of key space of the logistic map. This causes our encryption system to become exceptionally sturdy against brute pressure. An exhaustive analysis of the proposed encryption system is undergone and shows positive results in encryption metrics when compared to several different photo encryption techniques. The analysis demonstrates the highly valued security and immunity to noise of the photograph encryption. The proposed modified logistic map with amplitude and phase modulation is suitable for real-time application.

Keyword :  Image Encryption, Fourier Transform, Security, Chaotic Logistic Map, Chaotic Baker Map

For More Details :  https://airccj.org/CSCP/vol8/csit89808.pdf

PREDICTING SECURITY CRITICAL CONDITIONS OF CYBER PHYSICAL SYSTEMS WITH UNOBSERVABLES AND OBSERVATION TIMES

 Author :  Alessio Coletta

Affiliation :  Security and Trust Unit, Bruno Kessler Foundation

Country :  Italy

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  8, 18, February, 2018

Abstract :

Cyber Physical Systems (CPS), like IoT and industrial control systems, are typically vulnerable to cyber threats due to a lack of cyber security measures and hard change management. Security monitoring is aimed at improving the situational awareness and the resilience to cyber attacks. Solutions tailored to CPS are required for greater effectiveness. This work proposes a monitoring framework that leverages the knowledge of the system to monitor in order to specify, check, and predict known critical conditions. This approach is particularly suitable to CPS, as they are designed for a precise purpose, well documented, and predictable to a good extent. The framework uses a formal logical language to specify quantitative critical conditions and an optimisation SMT-based engine that checks observable aspects from network traffic and logs. The framework computes a quantitative measure of the criticality of the current CPS system: checking how criticality changes in time enables to predict whether the system is approaching to a critical condition or reaching back a licit state. An important novelty of the approach is the capability of expressing conditions on the time of the observations and of dealing with unobservable variables. This work presents the formal framework, a prototype, a testbed, and first experimental results that validate the feasibility of the approach.

Keyword :  Security Monitoring, Detection and Prevention Systems, Critical Infrastructures, Cyber Physical Systems, SMT.

For More Details :  https://airccj.org/CSCP/vol8/csit89807.pdf

CAMOUFLAGED WITH SIZE: A CASE STUDY OF ESPIONAGE USING ACQUIRABLE SINGLE-BOARD COMPUTERS

 Author :  Kiavash Satvat

Affiliation :  University of Illinois at Chicago

Country :  USA

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  8, 18, February, 2018

Abstract :

Single-Board Computers (SBC) refer to pocket-sized computers built on a single circuit board. A number of studies have explored the use of these highly popular devices in a variety of domains, including military, agriculture, healthcare, and more. However, no attempt was made to signify possible security risks that misuse of these devices may bring to organizations. In this study, we perform a series of experiments to validate the possibility of using SBCs as an espionage gadget. We show how an attacker can turn a Raspberry Pi device to an attacking gadget and benefit from short-term physical access to attach the gadget to the network in order to access unauthorized data or perform other malicious activities. We then provide experimental results of placing such tools in two real-world networks. Given the small size of SBCs, traditional physical security measures deployed in organizations may not be sufficient to detect and restrict the entrance of SBCs to their premises. Therefore, we reiterate possible directions for network administrators to deploy defensive mechanisms for detecting and preventing such attacks

Keyword :  Espionage, Single-Board Computer (SBC), Physical Security, Network Security, Raspberry Pi

For More Details :  https://airccj.org/CSCP/vol8/csit89806.pdf

DATA MANAGEMENT PLATFORM SUPPORTING VOLUNTEER OCCUPATION SERVICES

 Author :  Damien Nicolas

Affiliation :  LIST: Luxembourg Institute of Science and Technology

Country :  Luxembourg

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  8, 18, February, 2018

Abstract :

This paper deals with the Data Management Services, which acts as a link between the User Requirements, the System Requirements and the development of the core IT software components supporting the occupation services performed during the Sponsor project. This gives an overview of the main services provided by the platform, the chosen architecture model including the relationships between the different conceptual models and the data models implemented within the platform. As a result, the outcomes of this deliverable will constitute an input for the development of the platform as a services-oriented platform providing and publishing a complete API for managing organizations, opportunities and volunteers.

Keyword :  Data Model, SOA, RESTful Web Services, IT service platform, Ambient Assisted Living, Graph Database, Volunteering Services.

For More Details :  https://airccj.org/CSCP/vol8/csit89805.pdf

VIRTUAL AIS GENERATION MANAGEMENT SYSTEM FOR WATERWAY RISK ASSESSMENT

Author :  Jun Sik Kim

Affiliation :  Division of Computer Engineering, Dongseo University

Country :  Korea

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  8, 18, February, 2018

Abstract :

The virtual Automatic Identification System (AIS) generation management system is a system for analysing waterway risk by generating virtual AIS data which contains location information of a specific area. The system uses the data as an input data of the IALA Waterway Risk Assessment (IWRAP).

Keyword : Shipwreck, waterway risk assessment

URL :  https://airccj.org/CSCP/vol8/csit89804.pdf

FUZZY BOOLEAN REASONING FOR DIAGNOSIS OF DIABETES

 Author :  Mohamed Benamina

Affiliation :  Laboratoire d’Informatique d’Oran (LIO) University of Oran 1 Ahmed Ben Bella BP 1524, El M'Naouer Es Senia

Country :  Algeria

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  8, 18, February, 2018

Abstract :

The classification by inductive learning finds its originality in the fact that humans often use it to resolve and to handle very complex situations in their daily lives. However, the induction in humans is often approximate rather than exact. Indeed, the human brain is able to handle imprecise, vague, uncertain and incomplete information. Also, the human brain is able to learn and to operate in a context where uncertainty management is indispensable. In this paper, we propose a Boolean model of fuzzy reasoning for indexing the monitoring sub-plans, based on characteristics of the classification by inductive learning. Several competing motivations have led us to define a Boolean model for CBR knowledge base systems. Indeed, we have not only desired experiment with a new approach to indexing of cases by fuzzy decision tree, but we also wanted to improve modelling of the vague and uncertain of the natural language concepts, optimize response time and the storage complexity.

Keyword :  Boolean Modelling, Cellular Machine, Case-Based Reasoning, Diabetes Diagnosis, Fuzzy Reasoning, Planning.

For More Details :  https://airccj.org/CSCP/vol8/csit89803.pdf

AN ONTOLOGY-BASED HIERARCHICAL BAYESIAN NETWORK CLASSIFICATION MODEL TO PREDICT THE EFFECT OF DNA REPAIRS GENES IN HUMAN AGEING PROCESS

 Author :  Hasanein Alharbi

Affiliation :  Department of Computer Engineering Techniques, Al-Mustaqbal University College

Country :  Iraq

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  8, 18, February, 2018

Abstract :

Conventional Data Mining (DM) algorithms treated data simply as numbers ignoring the semantic relationships among them. Consequently, recent researches claimed that ontology is the best option to represent the domain knowledge for data mining use because of its structural format. Additionally, it is reported that ontology can facilitate different steps in the Bayesian Network (BN) construction task. To this end, this paper investigates the advantages of consolidating the Gene Ontology (GO) and the Hierarchical Bayesian Network (HBN) classifier in a flexible framework, which preserves the advantages of both, ontology and Bayesian theory. The proposed Semantically Aware Hierarchical Bayesian Network (SAHBN) is tested using data set in the biomedical domain. DNA repair genes are classified as either ageing-related or nonageing-related based on their GO biological process terms. Furthermore, the performance of SAHBN was compared against eight conventional classification algorithms. Overall, SAHBN has outperformed existing algorithms in eight experiments out of eleven.

Keyword :  Semantic Data Mining, Hierarchical Bayesian Network, Gene Ontology, DNA Repair Gene, Human Ageing Process

For More Details  :  https://airccj.org/CSCP/vol8/csit89802.pdf