{"id":796,"date":"2017-05-12T12:30:48","date_gmt":"2017-05-12T12:30:48","guid":{"rendered":"http:\/\/muse.bayern\/?p=796"},"modified":"2017-05-12T12:30:49","modified_gmt":"2017-05-12T12:30:49","slug":"muse-ist-sponsor-der-securware-2017","status":"publish","type":"post","link":"https:\/\/muse.bayern\/?p=796","title":{"rendered":"MuSe ist Sponsor der SECURWARE 2017"},"content":{"rendered":"

Professor Hof und seine Forschungsgruppen INSicherheit – Ingolst\u00e4dter Forschungsgruppe Angewandte IT-Sicherheit<\/a> und MuSe – Munich IT Security Research Group<\/a> sind Sponsoren der “The Eleventh International Conference on Emerging\u00a0Security Information,\u00a0Systems and Technologies – SECURWARE 2017<\/a>” welche vom 10.09.-14.09.2017 in Rom stattfindet. Die Einreichefrist wurde bis 25.05. verl\u00e4ngert, den CfP finden Sie hier: Link<\/a>.<\/p>\n

Weitere Informationen:<\/strong><\/p>\n

SECURWARE 2017, The Eleventh International Conference on Emerging\u00a0Security Information Systems and Technologies, is an event covering related topics on theory and practice on\u00a0security, cryptography,\u00a0secure protocols, trust, privacy, confidentiality, vulnerability, intrusion detection and other areas related to low enforcement, security data mining, malware models, etc.<\/p>\n

Security, defined for ensuring protected communication among terminals and user applications across public and private networks, is the core for guaranteeing confidentiality, privacy, and data protection. Security affects business and individuals, raises the business risk, and requires a corporate and individual culture. In the open business space offered by Internet, it is a need to improve defences against hackers, disgruntled employees, and commercial rivals. There is a required balance between the effort and resources spent on security versus security achievements. Some vulnerability can be addressed using the rule of 80:20, meaning 80% of the vulnerabilities can be addressed for 20% of the costs. Other technical aspects are related to the communication speed versus complex and time consuming cryptography\/security mechanisms and protocols.<\/p>\n

Digital Ecosystem is defined as an open decentralized information infrastructure where different networked agents, such as enterprises (especially SMEs), intermediate actors, public bodies and end users, cooperate and compete enabling the creation of new complex structures. In digital ecosystems, the actors, their products and services can be seen as different organisms and species that are able to evolve and adapt dynamically to changing market conditions.<\/p>\n

Digital Ecosystems lie at the intersection between different disciplines and fields: industry, business, social sciences, biology, and cutting edge ICT and its application driven research. They are supported by several underlying technologies such as semantic web and ontology-based knowledge sharing, self-organizing intelligent agents, peer-to-peer overlay networks, web services-based information platforms, and recommender systems.<\/p>\n

To enable safe digital ecosystem functioning, security and trust mechanisms become essential components across all the technological layers. The aim is to bring together multidisciplinary research that ranges from technical aspects to socio-economic models.<\/p>\n

As a multi-track event, SECURWARE 2017 will serve as a forum for researchers from the academia and the industry, professionals, standard developers, policy makers and practitioners to exchange ideas. The topics could be on techniques and applications, best practices, awareness and experiences as well as future trends and needs (both in research and practices) related to all aspects of information security, security systems and technologies.<\/p>\n

SECURWARE 2017 has the following tracks:<\/p>\n

TRENDS: Security challenges with new technologies
\nSECSERV:\u00a0 Security-as-a-Service – Security technologies and systems-oriented security and safety
\nSECSTATUS: Advances and Challenges
\nSERVICES:\u00a0 Cyber\u00a0 Laboratory Services
\nSOLUTIONS: Cyber Laboratory Solutions
\nARCH:\u00a0Security frameworks, architectures and protocols
\nMETRICS: Security, trust and privacy measurement
\nSECMAN: Security management
\nSECTECH: Security technologies
\nSYSSEC: System security
\nINFOSEC: Information security
\nRISK: Risk and security
\nMALWA: Malware and Anti-malware
\nANTIFO: Anti-forensics
\nPRODAM: Profiling data mining
\nSECHOME: Smart home security
\nSECDYN: Security and privacy in dynamic environments
\nECOSEC: Ecosystem security and trust
\nCRYPTO: Cryptography
\nCYBER-Threat<\/p>\n

We solicit both academic, research, and industrial contributions. We welcome technical papers presenting research and practical results, position papers addressing the pros and cons of specific proposals, such as those being discussed in the standard fora or in industry consortia, survey papers addressing the key problems and solutions on any of the above topics short papers on work in progress, and panel proposals.<\/p>\n

Industrial presentations are not subject to the format and content constraints of regular submissions. We expect short and long presentations that express industrial position and status.<\/p>\n

Tutorials on specific related topics and panels on challenging areas are encouraged.<\/p>\n

The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.<\/p>\n

All topics and submission formats are open to both research and industry contributions.<\/p>\n

TRENDS: Security challenges with new technologies<\/strong><\/p>\n

Security in SDN, SDX, NFV
\nSecurity in 4G\/5G networks
\nSecurity and Internet of X (everything, things, people, etc.)
\nSecurity for Virtualization and Cloud
\nSecurity and Big Data
\nSecurity in sensing and sensor networks
\nSecurity and energy-aware networks
\nSecurity in content-oriented networking
\nSecurity in cellular cognitive networks<\/p>\n

SECSERV:\u00a0Security-as-a-Service – Security technologies and systems-oriented security and safety<\/strong><\/p>\n

Certified services and businesses
\nSecurity certifying processes, technologies and standards
\nIndustrial security
\nSecurity in information systems
\nPhysical\/Virtual\/Cloud security
\nCorporate\/Personal security
\nSecurity guarantee\/assurance\/risks
\nSurveillance systems
\nSecurity\/Safety digital environments (electromagnetic waves, unsafe facilities, undocumented logistics, etc.)
\nCyber-security and public services\u00a0risks (thefts, health, alarms, vehicular, surveillance, people with special needs, credit carts, use of arms, drone-based delivery, etc.)
\nSecurity in supply-based systems
\nSecurity in mobile applications, Web-based, Cloud-based services, and Internet of Things (IoT)-based systems
\nDesigning secure and green-oriented industrial systems
\nSecurity in production systems
\nSecure production lines and secure human-oriented products and services<\/p>\n

SECSTATUS: Advances and Challenges<\/strong><\/p>\n

Cryptography
\nEncryption schemes
\nCryptanalysis
\nThrifty zero-knowledge approaches
\nChaos-information hiding
\nAdvances in biometric authentication
\nPassive forensics
\nAccess, computation and communication security mechanisms
\nSecure error-tolerant protocols
\nSide-channel attacks
\nMalware and attacks prevention
\nAnti-analysis signals
\nSecurity-awareness
\nCulture-oriented prevention
\nSecurity for smart devices
\nSecurity for mobile applications
\nAnonymity and pseudo-anonymity
\nMitigating threats
\nPrivilege control and isolation
\nCyber-attacks and human factors
\nIoT and big data security issues
\nPrivacy and protection in eTechnologies
\nSecure virtualized environments
\nSecurity during system migration or updates
\nSecurity integration pitfalls
\nData leakage, vulnerabilities, failures and lessons learned
\nSecurity standards<\/p>\n

SERVICES:\u00a0 Cyber\u00a0 Laboratory Services<\/strong><\/p>\n

Cyber intelligence systems
\nGlobal defense
\nSecurity-awareness
\nData sanitization and end-of-lifecycle solutions
\nCompliance solutions\u00a0 with PCI DSS standard from PCI DSS certified datacenters
\nMobile Device Management (MDM) and Mobile Application Management (MAM)
\nIdentity and Access Management (IAM)
\nRisk and security management
\nIT-Governance, Risks and compliance
\nPublic safety and professional communications and solutions for situational awareness, command and control
\nData security services<\/p>\n

SOLUTIONS: Cyber Laboratory Solutions<\/strong><\/p>\n

Cyber intelligence technologies
\nGlobal threat correlation and reputation services; credentials, expiration time for client installations, feature restrictions, Web-console audit logging, etc.
\nAdvanced testing software, for known and unknown flaws in software; identifying the weaknesses and vulnerabilities
\nE-mail communication confidentiality protection
\nProtect of enterprises and government agencies for their confidential data against leaks
\nInternet security and content cloud services
\nRisk and security management
\nIT-Governance, Risks and compliance
\nSCADA-based information security systems
\nGuideline on advising, building, developing and inspecting\/auditing
\ninformation security practices and systems<\/p>\n

ARCH: Security frameworks, architectures and protocols <\/strong><\/p>\n

Formal aspects of security
\nSecurity analysis methodologies
\nSecurity verification
\nSecurity protocols
\nSecurity architectures and formalisms
\nSecurity and design vulnerability
\nSecurity and privacy protection
\nPerformance and security
\nSecure group communication\/multicast
\nSoftware design security
\nMiddleware security
\nSecurity for nomadic code
\nIntrusion detection systems
\nStatic analysis for software security
\nSecurity modeling<\/p>\n

METRICS: Security, trust and privacy measurement<\/strong><\/p>\n

Security, trust and privacy metrics;
\nSecurity assurance metrics
\nSecurity measurement architectures
\nMetrics for adaptive security systems
\nTaxonomical and ontological support of security metrics
\nExperiments and benchmarks for security measurements
\nEmbedding security measurability in software and service architectures
\nRisk-driven assessment of security
\nAssessment of effectiveness, efficiency and correctness of security
\nMapping security metrics and security assurance metrics
\nMapping security measurements and non-functional requirements<\/p>\n

SECMAN: Security management<\/strong><\/p>\n

Identity management
\nSecurity law enforcement
\nPKI
\nPKI Key management
\nIncident response planning
\nIntrusion detection and event correlation
\nFirewalls
\nTrust management
\nSoftware security\u00a0assurance<\/p>\n

SECTECH: Security technologies<\/strong><\/p>\n

Secure protocols
\nApplied cryptography
\nSmart cards
\nBiometrics
\nDigital rights management
\nElectronic surveillance
\nDatabase security<\/p>\n

SYSSEC: System security<\/strong><\/p>\n

Internet security
\nSecurity in wireless
\nSensor\/cellular network security
\nAd hoc network security
\nSecurity in peer-to-peer networks
\nSecurity in wireless multimedia systems
\nSecurity in different networks (mesh, personal, local, metropolitan, GSM, Bluetooth, WiMax, IEEE 802.x, etc.)
\nSecurity of emergency services<\/p>\n

INFOSEC: Information security<\/strong><\/p>\n

Information hiding
\nAnonymity
\nAuthentication
\nData Integrity
\nSecurity data mining
\nData confidentiality and integrity
\nInformation flow protection
\nTrustworthy networks: authentication, privacy and security models
\nSecure service discovery
\nSecure location-based service
\nInformation survivability<\/p>\n

RISK: Risk and security<\/strong><\/p>\n

Operational risk (opRisk)
\nOpRisk and field studies
\nReputation risk
\nRisk and security-awareness
\nBusiness continuity and disaster recovery
\nPrivacy-awareness
\nSecurity and trust<\/p>\n

MALWA: Malware and Anti-malware<\/strong><\/p>\n

Threat taxonomies and modeling
\nSecurity threats
\nThreats propagation
\nAnti-malware technologies
\nEngineering anti-malware
\nAnti-virus, anti-spyware, anti-phishing
\nMalware propagation models
\nProfiling security information
\nVulnerability analysis and countermeasures
\nDenial of service attacks
\nMeasurements and metrics
\nTesting samples and techniques
\nQuarantine\/reuse decisions
\nAnti-malware tool performance
\nAnti-malware tool suites
\nOpen-source anti-malware
\nHost-based anti-malware
\nOn-line anti-malware scanning<\/p>\n

Messaging, viruses, spyware<\/strong><\/p>\n

Advanced misuse detection techniques \/machine learning, natural language processing, challenge-response, etc.\/ <\/span>
\nMessage filtering, blocking, authentication
\nDigital signatures
\nGeneralized spamming \/over email, Internet telephony, instant messaging, mobile phone,\u00a0 phishing, etc. \/<\/span>
\nSpam compression and recognition
\nLearning misuse patterns
\nPayment schemes
\nEconomics of generalized spam
\nTracking abuse tactics and patterns
\nProtecting legitimate use patterns
\nMethods for testing protection robustness
\nCosts and benefits of messaging use and misuse
\nStandards for messaging and misuse reporting
\nLegal aspects \/identity theft, privacy, freedom of speech, etc.\/<\/span><\/p>\n

ANTIFO: Anti-forensics<\/strong><\/p>\n

Advanced anti-forensics mechanisms
\nSmart anti-forensics
\ne-discovery industry and anti-forensics
\nOverwriting data and metadata
\nData hiding approaches
\nDetecting forensics analysis
\nAnti-forensics tools
\nUnix-, Windows-, and Linux anti-forensics techniques
\nOpen source anti-forensics tools
\nNetwork anti-forensics tools<\/p>\n

PRODAM: Profiling data mining<\/strong><\/p>\n

User and traffic profiling
\nData mining and visualization
\nProfile mining and knowledge discovery
\nMining lifecycle for profile collections
\nProfile warehouse construction
\nProfile portfolio and profile discovery
\nProfiling game users and game traffic
\nProfiling transactions
\nSimpson’d paradox
\nReal-time profiling mechanisms
\nPatterns for information profiling
\nProfiling engines
\nProfiling metrics
\nForensics
\nProfiling applications (banks, on-line shopping, etc.)
\nData mining-based user profile prediction<\/p>\n

SECHOME: Smart home security<\/strong><\/p>\n

Fundamentals for SHS
\nPrivacy and protection for SHS
\nIdentify and location management in SHS
\nAuthentication and authorization in SHS
\nAccess control and security policies in SHS
\nTrust and reputation management
\nSecurity context-based interfaces for SHS
\nSHS for accessibility and elderly\/disabled people
\nReal-time challenges for SHS in eHealth environments
\nArchitectures and systems for SHS
\nNetwork technologies and protocols for SHS
\nUbiquitous\/pervasive platform and middleware for SHS
\nServices and applications for SHS
\nSHS on campuses and hotels
\nSHS for mission critical laboratories
\nContent protection and digital rights management for SHS
\nIntelligent devices, sensor network\/RFID for SHS
\nIntrusion detection and computer forensics for SHS
\nSHS and Homeland security
\nPersonal data privacy and protection in SHS
\nEmerging standards and technologies for SHS
\nCommercial and industrial for SHS
\nCase studies, prototypes and experience<\/p>\n

SECDYN: Security and privacy in dynamic environments <\/strong><\/p>\n

Fundamentals on highly dynamic environments
\nPrivacy and predefined access control dilemma
\nPrivacy police, provisions and obligations
\nDependability in dynamic environments
\nProtection of digital documents in dynamic environments,
\nOn-line activities in high dynamic systems
\nLaw enforcement in high dynamic systems
\nPersonalization
\nPrivacy and transparency
\nDistributed usage control
\nPrivacy compliance
\nSecure ambient intelligence
\nSecure embedded microprocessor architectures
\nSecure compilation techniques<\/p>\n

ECOSEC: Ecosystem security and trust<\/strong><\/p>\n

Secure and trusted service compositions in peer-to-peer networks
\nSecure data management in collaborative peer-to-peer networks
\nSecurity and reputation models for self-adaptive overlay networks
\nIdentity and trust management in dynamic, self-organizing environments
\nSocial institutional-based trust models for self-evolving communities<\/p>\n

CRYPTO: Cryptography<\/strong><\/p>\n

Foundations of cryptography
\nApplied cryptography
\nCryptanalysis
\nSignatures schemes and trust models
\nCryptographic algorithms
\nElectronic payment systems
\nHigh-performance encryption methods
\nGroup-oriented cryptography
\nIdentity-based cryptography
\nAnonymous authentication
\nCryptography for multi-user environments
\nCryptography and secure localization systems
\nAttacks on cryptosystems<\/p>\n

CYBER-Threat<\/strong><\/p>\n

e-Crime
\nEpidemiological models for warware and cyber-crime propagation
\nRecord and retrieval of cyber-crimes
\nCyber-crime prevention
\nCyber-crime vulnerabilities
\nCyber-counterattack at source
\nDistributed cyber-attacks
\nOrchestrated cyber-attacks
\nRecursion attacks
\nCyber-storm attacks
\nCyber-pranks, hoaxes
\nPhishing\/Pharming and anti-phishing
\nCyber-terrorism
\nOnline cyber-crime reporting
\nAccuracy and security of cyber-reports
\nFighting cyber-crimes
\nCyber-crime laws<\/p>\n

INSTRUCTION FOR THE AUTHORS<\/strong><\/p>\n

Authors of selected papers will be invited to submit extended versions to one of the IARIA Journals<\/a>.<\/p>\n

Publisher: XPS (Xpert Publishing Services)<\/a>
\nArchived: ThinkMindTM<\/sup> Digital Library<\/a> (free access)
\nPrints available at Curran Associates, Inc.<\/a>
\nArticles will be submitted to appropriate indexes<\/a>.<\/p>\n

Important deadlines:<\/strong><\/p>\n\n\n\n\n\n\n
Submission (full paper)<\/td>\nApril 25<\/s> May 25, 2017<\/span><\/td>\n<\/tr>\n
Notification<\/td>\nJune 25, 2017<\/td>\n<\/tr>\n
Registration<\/td>\nJuly 10, 2017<\/td>\n<\/tr>\n
Camera ready<\/td>\nJuly 27, 2017<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Only .pdf or .doc files will be accepted for paper submission. All received submissions will be acknowledged via an automated system.<\/p>\n

Contribution types <\/strong><\/p>\n