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Camenisch, Jan, Drijvers, Manu, Lehmann, Anja, Neven, Gregory, Towa, Patrick.  2020.  Zone Encryption with Anonymous Authentication for V2V Communication. 2020 IEEE European Symposium on Security and Privacy (EuroS P). :405—424.

Vehicle-to-vehicle (V2V) communication systems are currently being prepared for real-world deployment, but they face strong opposition over privacy concerns. Position beacon messages are the main culprit, being broadcast in cleartext and pseudonymously signed up to 10 times per second. So far, no practical solutions have been proposed to encrypt or anonymously authenticate V2V messages. We propose two cryptographic innovations that enhance the privacy of V2V communication. As a core contribution, we introduce zone-encryption schemes, where vehicles generate and authentically distribute encryption keys associated to static geographic zones close to their location. Zone encryption provides security against eavesdropping, and, combined with a suitable anonymous authentication scheme, ensures that messages can only be sent by genuine vehicles, while adding only 224 Bytes of cryptographic overhead to each message. Our second contribution is an authentication mechanism fine-tuned to the needs of V2V which allows vehicles to authentically distribute keys, and is called dynamic group signatures with attributes. Our instantiation features unlimited locally generated pseudonyms, negligible credential download-and-storage costs, identity recovery by a trusted authority, and compact signatures of 216 Bytes at a 128-bit security level.

Samaniego, M., Deters, R..  2018.  Zero-Trust Hierarchical Management in IoT. 2018 IEEE International Congress on Internet of Things (ICIOT). :88-95.

Internet of Things (IoT) is experiencing exponential scalability. This scalability introduces new challenges regarding management of IoT networks. The question that emerges is how we can trust the constrained infrastructure that shortly is expected to be formed by millions of 'things.' The answer is not to trust. This research introduces Amatista, a blockchain-based middleware for management in IoT. Amatista presents a novel zero-trust hierarchical mining process that allows validating the infrastructure and transactions at different levels of trust. This research evaluates Amatista on Edison Arduino Boards.

Huang, Huawei, Qu, Yunyun, Deng, Lunzhi.  2017.  Zero-Knowledge Identification Scheme Based on Symmetry Ergodic Matrices Exponentiation Problem. Proceedings of the 2017 International Conference on Cryptography, Security and Privacy. :71–75.

Symmetry ergodic matrices exponentiation (SEME) problem is to find x, given CxMDx, where C and D are the companion matrices of primitive polynomials and M is an invertible matrix over finite field. This paper proposes a new zero-knowledge identification scheme based on SEME problem. It is perfect zero-knowledge for honest verifiers. The scheme could provide a candidate cryptographic primitive in post quantum cryptography. Due to its simplicity and naturalness, low-memory, low-computation costs, the proposed scheme is suitable for using in computationally limited devices for identification such as smart cards.

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Narwal, Bhawna, Ojha, Arushi, Goel, Nimisha, Dhawan, Sudipti.  2020.  A Yoking-Proof Based Remote Authentication Scheme for Cloud-Aided Wearable Devices (YPACW). 2020 IEEE International Conference for Innovation in Technology (INOCON). :1—5.

The developments made in IoT applications have made wearable devices a popular choice for collecting user data to monitor this information and provide intelligent service support. Since wearable devices are continuously collecting and transporting a user's sensitive data over the network, there exist increased security challenges. Moreover, wearable devices lack the computation capabilities in comparison to traditional short-range communication devices. In this paper, authors propounded a Yoking Proof based remote Authentication scheme for Cloud-aided Wearable devices (YPACW) which takes PUF and cryptographic functions and joins them to achieve mutual authentication between the wearable devices and smartphone via a cloud server, by performing the simultaneous verification of these devices, using the established yoking-proofs. Relative to Liu et al.'s scheme, YPACW provides better results with the reduction of communication and processing cost significantly.

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Sani, Abubakar Sadiq, Yuan, Dong, Bao, Wei, Yeoh, Phee Lep, Dong, Zhao Yang, Vucetic, Branka, Bertino, Elisa.  2019.  Xyreum: A High-Performance and Scalable Blockchain for IIoT Security and Privacy. 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS). :1920–1930.
As cyber attacks to Industrial Internet of Things (IIoT) remain a major challenge, blockchain has emerged as a promising technology for IIoT security due to its decentralization and immutability characteristics. Existing blockchain designs, however, introduce high computational complexity and latency challenges which are unsuitable for IIoT. This paper proposes Xyreum, a new high-performance and scalable blockchain for enhanced IIoT security and privacy. Xyreum uses a Time-based Zero-Knowledge Proof of Knowledge (T-ZKPK) with authenticated encryption to perform Mutual Multi-Factor Authentication (MMFA). T-ZKPK properties are also used to support Key Establishment (KE) for securing transactions. Our approach for reaching consensus, which is a blockchain group decision-making process, is based on lightweight cryptographic algorithms. We evaluate our scheme with respect to security, privacy, and performance, and the results show that, compared with existing relevant blockchain solutions, our scheme is secure, privacy-preserving, and achieves a significant decrease in computation complexity and latency performance with high scalability. Furthermore, we explain how to use our scheme to strengthen the security of the REMME protocol, a blockchain-based security protocol deployed in several application domains.
Guri, M., Zadov, B., Daidakulov, A., Elovici, Y..  2018.  xLED: Covert Data Exfiltration from Air-Gapped Networks via Switch and Router LEDs. 2018 16th Annual Conference on Privacy, Security and Trust (PST). :1–12.

An air-gapped network is a type of IT network that is separated from the Internet - physically - due to the sensitive information it stores. Even if such a network is compromised with a malware, the hermetic isolation from the Internet prevents an attacker from leaking out any data - thanks to the lack of connectivity. In this paper we show how attackers can covertly leak sensitive data from air-gapped networks via the row of status LEDs on networking equipment such as LAN switches and routers. Although it is known that some network equipment emanates optical signals correlated with the information being processed by the device (‘side-channel'), malware controlling the status LEDs to carry any type of data (‘covert-channel') has never studied before. Sensitive data can be covertly encoded over the blinking of the LEDs and received by remote cameras and optical sensors. A malicious code is executed in a compromised LAN switch or router allowing the attacker direct, low-level control of the LEDs. We provide the technical background on the internal architecture of switches and routers at both the hardware and software level which enables these attacks. We present different modulation and encoding schemas, along with a transmission protocol. We implement prototypes of the malware and discuss its design and implementation. We tested various receivers including remote cameras, security cameras, smartphone cameras, and optical sensors, and discuss detection and prevention countermeasures. Our experiments show that sensitive data can be covertly leaked via the status LEDs of switches and routers at bit rates of 1 bit/sec to more than 2000 bit/sec per LED.

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Sarkisyan, A., Debbiny, R., Nahapetian, A..  2015.  WristSnoop: Smartphone PINs prediction using smartwatch motion sensors. 2015 IEEE International Workshop on Information Forensics and Security (WIFS). :1–6.

Smartwatches, with motion sensors, are becoming a common utility for users. With the increasing popularity of practical wearable computers, and in particular smartwatches, the security risks linked with sensors on board these devices have yet to be fully explored. Recent research literature has demonstrated the capability of using a smartphone's own accelerometer and gyroscope to infer tap locations; this paper expands on this work to demonstrate a method for inferring smartphone PINs through the analysis of smartwatch motion sensors. This study determines the feasibility and accuracy of inferring user keystrokes on a smartphone through a smartwatch worn by the user. Specifically, we show that with malware accessing only the smartwatch's motion sensors, it is possible to recognize user activity and specific numeric keypad entries. In a controlled scenario, we achieve results no less than 41% and up to 92% accurate for PIN prediction within 5 guesses.

Prasad, Mahendra, Tripathi, Sachin, Dahal, Keshav.  2019.  Wormhole attack detection in ad hoc network using machine learning technique. 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT). :1–7.

In this paper, we explore the use of machine learning technique for wormhole attack detection in ad hoc network. This work has categorized into three major tasks. One of our tasks is a simulation of wormhole attack in an ad hoc network environment with multiple wormhole tunnels. A next task is the characterization of packet attributes that lead to feature selection. Consequently, we perform data generation and data collection operation that provide large volume dataset. The final task is applied to machine learning technique for wormhole attack detection. Prior to this, a wormhole attack has detected using traditional approaches. In those, a Multirate-DelPHI is shown best results as detection rate is 90%, and the false alarm rate is 20%. We conduct experiments and illustrate that our method performs better resulting in all statistical parameters such as detection rate is 93.12% and false alarm rate is 5.3%. Furthermore, we have also shown results on various statistical parameters such as Precision, F-measure, MCC, and Accuracy.

Diaz, J. S. B., Medeiros, C. B..  2017.  WorkflowHunt: Combining Keyword and Semantic Search in Scientific Workflow Repositories. 2017 IEEE 13th International Conference on e-Science (e-Science). :138–147.

Scientific datasets and the experiments that analyze them are growing in size and complexity, and scientists are facing difficulties to share such resources. Some initiatives have emerged to try to solve this problem. One of them involves the use of scientific workflows to represent and enact experiment execution. There is an increasing number of workflows that are potentially relevant for more than one scientific domain. However, it is hard to find workflows suitable for reuse given an experiment. Creating a workflow takes time and resources, and their reuse helps scientists to build new workflows faster and in a more reliable way. Search mechanisms in workflow repositories should provide different options for workflow discovery, but it is difficult for generic repositories to provide multiple mechanisms. This paper presents WorkflowHunt, a hybrid architecture for workflow search and discovery for generic repositories, which combines keyword and semantic search to allow finding relevant workflows using different search methods. We validated our architecture creating a prototype that uses real workflows and metadata from myExperiment, and compare search results via WorkflowHunt and via myExperiment's search interface.

Chrysikos, T., Dagiuklas, T., Kotsopoulos, S..  2010.  Wireless Information-Theoretic Security for moving users in autonomic networks. 2010 IFIP Wireless Days. :1–5.
This paper studies Wireless Information-Theoretic Security for low-speed mobility in autonomic networks. More specifically, the impact of user movement on the Probability of Non-Zero Secrecy Capacity and Outage Secrecy Capacity for different channel conditions has been investigated. This is accomplished by establishing a link between different user locations and the boundaries of information-theoretic secure communication. Human mobility scenarios are considered, and its impact on physical layer security is examined, considering quasi-static Rayleigh channels for the fading phenomena. Simulation results have shown that the Secrecy Capacity depends on the relative distance of legitimate and illegitimate (eavesdropper) users in reference to the given transmitter.
Avallone, S., Di Stasi, G..  2014.  WiMesh: A Tool for the Performance Evaluation of Multi-Radio Wireless Mesh Networks. New Technologies, Mobility and Security (NTMS), 2014 6th International Conference on. :1-5.

In this paper we present WiMesh, a software tool we developed during the last ten years of research conducted in the field of multi-radio wireless mesh networks. WiMesh serves two main purposes: (i) to run different algorithms for the assignment of channels, transmission rate and power to the available network radios; (ii) to automatically setup and run ns-3 simulations based on the network configuration returned by such algorithms. WiMesh basically consists of three libraries and three corresponding utilities that allow to easily conduct experiments. All such utilities accept as input an XML configuration file where a number of options can be specified. WiMesh is freely available to the research community, with the purpose of easing the development of new algorithms and the verification of their performances.

Durmus, Y., Langendoen, K..  2014.  Wifi authentication through social networks #x2014; A decentralized and context-aware approach. Pervasive Computing and Communications Workshops (PERCOM Workshops), 2014 IEEE International Conference on. :532-538.

With the proliferation of WiFi-enabled devices, people expect to be able to use them everywhere, be it at work, while commuting, or when visiting friends. In the latter case, home owners are confronted with the burden of controlling the access to their WiFi router, and usually resort to simply sharing the password. Although convenient, this solution breaches basic security principles, and puts the burden on the friends who have to enter the password in each and every of their devices. The use of social networks, specifying the trust relations between people and devices, provides for a more secure and more friendly authentication mechanism. In this paper, we progress the state-of-the-art by abandoning the centralized solution to embed social networks in WiFi authentication; we introduce EAP-SocTLS, a decentralized approach for authentication and authorization of WiFi access points and other devices, exploiting the embedded trust relations. In particular, we address the (quadratic) search complexity when indirect trust relations, like the smartphone of a friend's kid, are involved. We show that the simple heuristic of limiting the search to friends and devices in physical proximity makes for a scalable solution. Our prototype implementation, which is based on WebID and EAP-TLS, uses WiFi probe requests to determine the pool of neighboring devices and was shown to reduce the search time from 1 minute for the naive policy down to 11 seconds in the case of granting access over an indirect friend.
 

Pisa, Claudio, Caponi, Alberto, Dargahi, Tooska, Bianchi, Giuseppe, Blefari-Melazzi, Nicola.  2016.  WI-FAB: Attribute-based WLAN Access Control, Without Pre-shared Keys and Backend Infrastructures. Proceedings of the 8th ACM International Workshop on Hot Topics in Planet-scale mObile Computing and Online Social neTworking. :31–36.

Two mainstream techniques are traditionally used to authorize access to a WiFi network. Small scale networks usually rely on the offline distribution of a WPA/WPA2 static pre-shared secret key (PSK); security hence relies on the fact that this PSK is not leaked by end user, and is not disclosed via dictionary or brute-force attacks. On the other side, Enterprise and large scale networks typically employ online authorization using an 802.1X-based authentication service leveraging a backend online infrastructure (e.g. Radius servers/proxies). In this work, we propose a new mechanism which does not require neither online operation nor backend access control infrastructure, but which does not force us to rely on a static pre-shared secret key. The idea is very simple, yet effective: directly broadcast in the WLAN beacons an encrypted version of the secret key required to access the WLAN network, so that only the users which possess suitable authorization credentials can decrypt and use it. This proposed approach clearly decouples the management of authorization credentials, issued offline to the authorized end users, from the actual secret key used in the WLAN network, which can thus be in principle changed at each new user's access. The solution described in the paper relies on attribute-based encryption, and is designed to be compatible with WPA2 and deployable within standard 802.11 management frames. Since no user identification is required (access control is based on attributes rather than on the user identity), the proposed approach further improves privacy. We demonstrate the feasibility of the proposed solution via a concrete implementation in Linux-based devices and via relevant testing in a real-world experimental setup.

Kang, Lei, Feeney, Andrew, Somerset, Will, Dixon, Steve.  2019.  Wideband Electromagnetic Dynamic Acoustic Transducer as a Standard Acoustic Source for Air-coupled Ultrasonic Sensors. 2019 IEEE International Ultrasonics Symposium (IUS). :2481–2484.
To experimentally study the characteristics of ultrasonic sensors, a wideband air-coupled ultrasonic transducer, wideband electromagnetic dynamic acoustic transducer (WEMDAT), is designed and fabricated. Characterisation methods, including electrical impedance analysis, laser Doppler vibrometry and pressure-field microphone measurement, are used to examine the performance of the WEMDAT, which have shown that the transducer has a wide bandwidth ranging approximately from 47 kHz to 145 kHz and a good directivity with a beam angle of around 20˚ with no evident side lobes. A 40 kHz commercial flexural ultrasonic transducer (FUT) is then taken as an example to receive ultrasonic waves in a pitch-catch configuration to evaluate the performance of the WEMDAT as an acoustic source. Experiment results have demonstrated that the WEMDAT can maintain the most of the frequency content of a 5 cycle 40 kHz tone burst electric signal and convert it into an ultrasonic wave for studying the dynamic characteristic and the directivity pattern of the ultrasonic receiver. A comparison of the dynamic characteristics between the transmitting and the receiving processes of the same FUT reveals that the FUT has a wider bandwidth when operating as an ultrasonic receiver than operating as a transmitter, which indicates that it is necessary to quantitatively investigate the receiving process of an ultrasonic transducer, demonstrating a huge potential of the WEMDAT serving as a standard acoustic source for ultrasonic sensors for various air-coupled ultrasonic applications.
Naiakshina, Alena, Danilova, Anastasia, Tiefenau, Christian, Herzog, Marco, Dechand, Sergej, Smith, Matthew.  2017.  Why Do Developers Get Password Storage Wrong?: A Qualitative Usability Study Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security. :311–328.

Passwords are still a mainstay of various security systems, as well as the cause of many usability issues. For end-users, many of these issues have been studied extensively, highlighting problems and informing design decisions for better policies and motivating research into alternatives. However, end-users are not the only ones who have usability problems with passwords! Developers who are tasked with writing the code by which passwords are stored must do so securely. Yet history has shown that this complex task often fails due to human error with catastrophic results. While an end-user who selects a bad password can have dire consequences, the consequences of a developer who forgets to hash and salt a password database can lead to far larger problems. In this paper we present a first qualitative usability study with 20 computer science students to discover how developers deal with password storage and to inform research into aiding developers in the creation of secure password systems.

Ning, Jianting, Cao, Zhenfu, Dong, Xiaolei, Wei, Lifei.  2018.  White-Box Traceable CP-ABE for Cloud Storage Service: How to Catch People Leaking Their Access Credentials Effectively. IEEE Transactions on Dependable and Secure Computing. 15:883–897.
Ciphertext-policy attribute-based encryption (CP-ABE) has been proposed to enable fine-grained access control on encrypted data for cloud storage service. In the context of CP-ABE, since the decryption privilege is shared by multiple users who have the same attributes, it is difficult to identify the original key owner when given an exposed key. This leaves the malicious cloud users a chance to leak their access credentials to outsourced data in clouds for profits without the risk of being caught, which severely damages data security. To address this problem, we add the property of traceability to the conventional CP-ABE. To catch people leaking their access credentials to outsourced data in clouds for profits effectively, in this paper, we first propose two kinds of non-interactive commitments for traitor tracing. Then we present a fully secure traceable CP-ABE system for cloud storage service from the proposed commitment. Our proposed commitments for traitor tracing may be of independent interest, as they are both pairing-friendly and homomorphic. We also provide extensive experimental results to confirm the feasibility and efficiency of the proposed solution.
Dijkhuis, Sander, van Wijk, Remco, Dorhout, Hidde, Bharosa, Nitesh.  2018.  When Willeke Can Get Rid of Paperwork: A Lean Infrastructure for Qualified Information Exchange Based on Trusted Identities. Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age. :89:1-89:10.

As a frequent participant in eSociety, Willeke is often preoccupied with paperwork because there is no easy to use, affordable way to act as a qualified person in the digital world. Confidential interactions take place over insecure channels like e-mail and post. This situation poses risks and costs for service providers, civilians and governments, while goals regarding confidentiality and privacy are not always met. The objective of this paper is to demonstrate an alternative architecture in which identifying persons, exchanging information, authorizing external parties and signing documents will become more user-friendly and secure. As a starting point, each person has their personal data space, provided by a qualified trust service provider that also issues a high level of assurance electronic ID. Three main building blocks are required: (1) secure exchange between the personal data space of each person, (2) coordination functionalities provided by a token based infrastructure, and (3) governance over this infrastructure. Following the design science research approach, we developed prototypes of the building blocks that we will pilot in practice. Policy makers and practitioners that want to enable Willeke to get rid of her paperwork can find guidance throughout this paper and are welcome to join the pilots in the Netherlands.

Nasir, J., Norman, U., Bruno, B., Dillenbourg, P..  2020.  When Positive Perception of the Robot Has No Effect on Learning. 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). :313–320.
Humanoid robots, with a focus on personalised social behaviours, are increasingly being deployed in educational settings to support learning. However, crafting pedagogical HRI designs and robot interventions that have a real, positive impact on participants' learning, as well as effectively measuring such impact, is still an open challenge. As a first effort in tackling the issue, in this paper we propose a novel robot-mediated, collaborative problem solving activity for school children, called JUSThink, aiming at improving their computational thinking skills. JUSThink will serve as a baseline and reference for investigating how the robot's behaviour can influence the engagement of the children with the activity, as well as their collaboration and mutual understanding while working on it. To this end, this first iteration aims at investigating (i) participants' engagement with the activity (Intrinsic Motivation Inventory-IMI), their mutual understanding (IMIlike) and perception of the robot (Godspeed Questionnaire); (ii) participants' performance during the activity, using several performance and learning metrics. We carried out an extensive user-study in two international schools in Switzerland, in which around 100 children participated in pairs in one-hour long interactions with the activity. Surprisingly, we observe that while a teams' performance significantly affects how team members evaluate their competence, mutual understanding and task engagement, it does not affect their perception of the robot and its helpfulness, a fact which highlights the need for baseline studies and multi-dimensional evaluation metrics when assessing the impact of robots in educational activities.
Manikonda, Lydia, Deotale, Aditya, Kambhampati, Subbarao.  2018.  What's Up with Privacy?: User Preferences and Privacy Concerns in Intelligent Personal Assistants Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society. :229–235.

The recent breakthroughs in Artificial Intelligence (AI) have allowed individuals to rely on automated systems for a variety of reasons. Some of these systems are the currently popular voice-enabled systems like Echo by Amazon and Home by Google that are also called as Intelligent Personal Assistants (IPAs). Though there are rising concerns about privacy and ethical implications, users of these IPAs seem to continue using these systems. We aim to investigate to what extent users are concerned about privacy and how they are handling these concerns while using the IPAs. By utilizing the reviews posted online along with the responses to a survey, this paper provides a set of insights about the detected markers related to user interests and privacy challenges. The insights suggest that users of these systems irrespective of their concerns about privacy, are generally positive in terms of utilizing IPAs in their everyday lives. However, there is a significant percentage of users who are concerned about privacy and take further actions to address related concerns. Some percentage of users expressed that they do not have any privacy concerns but when they learned about the "always listening" feature of these devices, their concern about privacy increased.

Durak, F. Betül, DuBuisson, Thomas M., Cash, David.  2016.  What Else is Revealed by Order-Revealing Encryption? Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security. :1155–1166.

The security of order-revealing encryption (ORE) has been unclear since its invention. Dataset characteristics for which ORE is especially insecure have been identified, such as small message spaces and low-entropy distributions. On the other hand, properties like one-wayness on uniformly-distributed datasets have been proved for ORE constructions. This work shows that more plaintext information can be extracted from ORE ciphertexts than was previously thought. We identify two issues: First, we show that when multiple columns of correlated data are encrypted with ORE, attacks can use the encrypted columns together to reveal more information than prior attacks could extract from the columns individually. Second, we apply known attacks, and develop new attacks, to show that the leakage of concrete ORE schemes on non-uniform data leads to more accurate plaintext recovery than is suggested by the security theorems which only dealt with uniform inputs.

Liao, Q. Vera, Davis, Matthew, Geyer, Werner, Muller, Michael, Shami, N. Sadat.  2016.  What Can You Do?: Studying Social-Agent Orientation and Agent Proactive Interactions with an Agent for Employees Proceedings of the 2016 ACM Conference on Designing Interactive Systems. :264–275.

Personal agent software is now in daily use in personal devices and in some organizational settings. While many advocate an agent sociality design paradigm that incorporates human-like features and social dialogues, it is unclear whether this is a good match for professionals who seek productivity instead of leisurely use. We conducted a 17-day field study of a prototype of a personal AI agent that helps employees find work-related information. Using log data, surveys, and interviews, we found individual differences in the preference for humanized social interactions (social-agent orientation), which led to different user needs and requirements for agent design. We also explored the effect of agent proactive interactions and found that they carried the risk of interruption, especially for users who were generally averse to interruptions at work. Further, we found that user differences in social-agent orientation and aversion to agent proactive interactions can be inferred from behavioral signals. Our results inform research into social agent design, proactive agent interaction, and personalization of AI agents.

Ma, Congjun, Wang, Haipeng, Zhao, Tao, Dian, Songyi.  2019.  Weighted LS-SVMR-Based System Identification with Outliers. Proceedings of the 2019 4th International Conference on Automation, Control and Robotics Engineering. :1–6.
Plenty of methods applied in system identification, while those based on data-driven are increasingly popular. Usually we ignore the absence of outliers among the system to be modeled, but it is unreachable in reality. To improve the precision of identification towards system with outliers, advantageous approaches with robustness are needed. This study analyzes the superiority of weighted Least Square Support Vector Machine Regression (LS-SVMR) in the field of system identification under random outliers, and compare it with LS-SVMR mainly.
Hoyle, Roberto, Das, Srijita, Kapadia, Apu, Lee, Adam J., Vaniea, Kami.  2017.  Was My Message Read?: Privacy and Signaling on Facebook Messenger Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. :3838–3842.

Major online messaging services such as Facebook Messenger and WhatsApp are starting to provide users with real-time information about when people read their messages, while useful, the feature has the potential to negatively impact privacy as well as cause concern over access to self. We report on two surveys using Mechanical Turk which looked at senders' (N=402\vphantom\\ use of and reactions to the `message seen' feature, and recipients' (N=316) privacy and signaling behaviors in the face of such visibility. Our findings indicate that senders experience a range of emotions when their message is not read, or is read but not answered immediately. Recipients also engage in various signaling behaviors in the face of visibility by both replying or not replying immediately.

M. Grottke, A. Avritzer, D. S. Menasché, J. Alonso, L. Aguiar, S. G. Alvarez.  2015.  "WAP: Models and metrics for the assessment of critical-infrastructure-targeted malware campaigns". 2015 IEEE 26th International Symposium on Software Reliability Engineering (ISSRE). :330-335.

Ensuring system survivability in the wake of advanced persistent threats is a big challenge that the security community is facing to ensure critical infrastructure protection. In this paper, we define metrics and models for the assessment of coordinated massive malware campaigns targeting critical infrastructure sectors. First, we develop an analytical model that allows us to capture the effect of neighborhood on different metrics (infection probability and contagion probability). Then, we assess the impact of putting operational but possibly infected nodes into quarantine. Finally, we study the implications of scanning nodes for early detection of malware (e.g., worms), accounting for false positives and false negatives. Evaluating our methodology using a small four-node topology, we find that malware infections can be effectively contained by using quarantine and appropriate rates of scanning for soft impacts.

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Wei, Shengjun, Zhong, Hao, Shan, Chun, Ye, Lin, Du, Xiaojiang, Guizani, Mohsen.  2018.  Vulnerability Prediction Based on Weighted Software Network for Secure Software Building. 2018 IEEE Global Communications Conference (GLOBECOM). :1-6.

To build a secure communications software, Vulnerability Prediction Models (VPMs) are used to predict vulnerable software modules in the software system before software security testing. At present many software security metrics have been proposed to design a VPM. In this paper, we predict vulnerable classes in a software system by establishing the system's weighted software network. The metrics are obtained from the nodes' attributes in the weighted software network. We design and implement a crawler tool to collect all public security vulnerabilities in Mozilla Firefox. Based on these data, the prediction model is trained and tested. The results show that the VPM based on weighted software network has a good performance in accuracy, precision, and recall. Compared to other studies, it shows that the performance of prediction has been improved greatly in Pr and Re.